US20140141408A1 - Integrated sensor for the rapid identification of bacteria using isfets - Google Patents
Integrated sensor for the rapid identification of bacteria using isfets Download PDFInfo
- Publication number
- US20140141408A1 US20140141408A1 US14/088,323 US201314088323A US2014141408A1 US 20140141408 A1 US20140141408 A1 US 20140141408A1 US 201314088323 A US201314088323 A US 201314088323A US 2014141408 A1 US2014141408 A1 US 2014141408A1
- Authority
- US
- United States
- Prior art keywords
- isfet
- potassium
- bacteria
- antibacterial agent
- coupled
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
- 241000894006 Bacteria Species 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 claims abstract description 48
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims abstract description 39
- 229910052700 potassium Inorganic materials 0.000 claims abstract description 39
- 239000011591 potassium Substances 0.000 claims abstract description 39
- 239000003242 anti bacterial agent Substances 0.000 claims abstract description 32
- 229910001414 potassium ion Inorganic materials 0.000 claims abstract description 18
- 230000008823 permeabilization Effects 0.000 claims abstract description 9
- 239000012528 membrane Substances 0.000 claims description 37
- 150000002500 ions Chemical class 0.000 claims description 33
- 241001515965 unidentified phage Species 0.000 claims description 30
- 108010062877 Bacteriocins Proteins 0.000 claims description 13
- 230000003115 biocidal effect Effects 0.000 claims description 13
- 238000002161 passivation Methods 0.000 claims description 9
- 230000005669 field effect Effects 0.000 claims description 8
- 239000004065 semiconductor Substances 0.000 claims description 6
- 101000925662 Enterobacteria phage PRD1 Endolysin Proteins 0.000 claims description 5
- 229910044991 metal oxide Inorganic materials 0.000 claims description 4
- 150000004706 metal oxides Chemical class 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 12
- 230000014670 detection of bacterium Effects 0.000 abstract description 2
- 210000004027 cell Anatomy 0.000 description 32
- 230000001580 bacterial effect Effects 0.000 description 25
- 238000002474 experimental method Methods 0.000 description 23
- 239000000758 substrate Substances 0.000 description 20
- 239000013642 negative control Substances 0.000 description 19
- 239000013641 positive control Substances 0.000 description 19
- 238000012360 testing method Methods 0.000 description 15
- 238000005259 measurement Methods 0.000 description 14
- 241000588724 Escherichia coli Species 0.000 description 12
- 229910052751 metal Inorganic materials 0.000 description 11
- 239000002184 metal Substances 0.000 description 11
- 108010073254 Colicins Proteins 0.000 description 10
- 210000002421 cell wall Anatomy 0.000 description 7
- 208000015181 infectious disease Diseases 0.000 description 7
- 108090000988 Lysostaphin Proteins 0.000 description 6
- 229940088710 antibiotic agent Drugs 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- -1 enterolysin Chemical compound 0.000 description 6
- 230000002101 lytic effect Effects 0.000 description 6
- 238000002156 mixing Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000035945 sensitivity Effects 0.000 description 6
- 108090000790 Enzymes Proteins 0.000 description 5
- 102000004190 Enzymes Human genes 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 5
- 102000040650 (ribonucleotides)n+m Human genes 0.000 description 4
- 108091032973 (ribonucleotides)n+m Proteins 0.000 description 4
- 108700042778 Antimicrobial Peptides Proteins 0.000 description 4
- 102000044503 Antimicrobial Peptides Human genes 0.000 description 4
- 241000701536 Enterobacteria phage T6 Species 0.000 description 4
- 241000589517 Pseudomonas aeruginosa Species 0.000 description 4
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 4
- 241000191978 Staphylococcus simulans Species 0.000 description 4
- WYURNTSHIVDZCO-UHFFFAOYSA-N Tetrahydrofuran Chemical compound C1CCOC1 WYURNTSHIVDZCO-UHFFFAOYSA-N 0.000 description 4
- 230000000844 anti-bacterial effect Effects 0.000 description 4
- 239000004599 antimicrobial Substances 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000000243 solution Substances 0.000 description 4
- 229940037648 staphylococcus simulans Drugs 0.000 description 4
- 239000006137 Luria-Bertani broth Substances 0.000 description 3
- 108010093965 Polymyxin B Proteins 0.000 description 3
- NPYPAHLBTDXSSS-UHFFFAOYSA-N Potassium ion Chemical compound [K+] NPYPAHLBTDXSSS-UHFFFAOYSA-N 0.000 description 3
- 241000191967 Staphylococcus aureus Species 0.000 description 3
- 108010067973 Valinomycin Proteins 0.000 description 3
- 238000013459 approach Methods 0.000 description 3
- 210000000170 cell membrane Anatomy 0.000 description 3
- FCFNRCROJUBPLU-UHFFFAOYSA-N compound M126 Natural products CC(C)C1NC(=O)C(C)OC(=O)C(C(C)C)NC(=O)C(C(C)C)OC(=O)C(C(C)C)NC(=O)C(C)OC(=O)C(C(C)C)NC(=O)C(C(C)C)OC(=O)C(C(C)C)NC(=O)C(C)OC(=O)C(C(C)C)NC(=O)C(C(C)C)OC1=O FCFNRCROJUBPLU-UHFFFAOYSA-N 0.000 description 3
- 238000001035 drying Methods 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 229920000024 polymyxin B Polymers 0.000 description 3
- 229960005266 polymyxin b Drugs 0.000 description 3
- 229910052710 silicon Inorganic materials 0.000 description 3
- 239000010703 silicon Substances 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- FCFNRCROJUBPLU-DNDCDFAISA-N valinomycin Chemical compound CC(C)[C@@H]1NC(=O)[C@H](C)OC(=O)[C@@H](C(C)C)NC(=O)[C@@H](C(C)C)OC(=O)[C@H](C(C)C)NC(=O)[C@H](C)OC(=O)[C@@H](C(C)C)NC(=O)[C@@H](C(C)C)OC(=O)[C@H](C(C)C)NC(=O)[C@H](C)OC(=O)[C@@H](C(C)C)NC(=O)[C@@H](C(C)C)OC1=O FCFNRCROJUBPLU-DNDCDFAISA-N 0.000 description 3
- CSCPPACGZOOCGX-UHFFFAOYSA-N Acetone Chemical compound CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 description 2
- 241000193830 Bacillus <bacterium> Species 0.000 description 2
- 241000701832 Enterobacteria phage T3 Species 0.000 description 2
- KFZMGEQAYNKOFK-UHFFFAOYSA-N Isopropanol Chemical compound CC(C)O KFZMGEQAYNKOFK-UHFFFAOYSA-N 0.000 description 2
- 241000701553 Myoviridae Species 0.000 description 2
- 241000702072 Podoviridae Species 0.000 description 2
- 241000702202 Siphoviridae Species 0.000 description 2
- XLOMVQKBTHCTTD-UHFFFAOYSA-N Zinc monoxide Chemical compound [Zn]=O XLOMVQKBTHCTTD-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000000845 anti-microbial effect Effects 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 2
- 238000009792 diffusion process Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005538 encapsulation Methods 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- AMWRITDGCCNYAT-UHFFFAOYSA-L hydroxy(oxo)manganese;manganese Chemical compound [Mn].O[Mn]=O.O[Mn]=O AMWRITDGCCNYAT-UHFFFAOYSA-L 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000004033 plastic Substances 0.000 description 2
- 229920003023 plastic Polymers 0.000 description 2
- 238000003752 polymerase chain reaction Methods 0.000 description 2
- 239000003910 polypeptide antibiotic agent Substances 0.000 description 2
- 239000000377 silicon dioxide Substances 0.000 description 2
- YLQBMQCUIZJEEH-UHFFFAOYSA-N tetrahydrofuran Natural products C=1C=COC=1 YLQBMQCUIZJEEH-UHFFFAOYSA-N 0.000 description 2
- 230000001052 transient effect Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- CTBBEXWJRAPJIZ-VHPBLNRZSA-N (1S,2S,3S,6R,8R,9S,10R)-2-benzoyl-1,3,8,10-tetrahydroxy-9-(4-methoxy-6-oxopyran-2-yl)-5-oxatricyclo[4.3.1.03,8]decan-4-one Chemical compound O1C(=O)C=C(OC)C=C1[C@H]1[C@]([C@@H]2O)(O)[C@H](C(=O)C=3C=CC=CC=3)[C@@]3(O)C(=O)O[C@@H]2C[C@]31O CTBBEXWJRAPJIZ-VHPBLNRZSA-N 0.000 description 1
- GETQKLUOZMYHGE-UHFFFAOYSA-N 2-[[3-(3,6-dichlorocarbazol-9-yl)-2-hydroxypropyl]amino]-2-(hydroxymethyl)propane-1,3-diol Chemical compound ClC1=CC=C2N(CC(O)CNC(CO)(CO)CO)C3=CC=C(Cl)C=C3C2=C1 GETQKLUOZMYHGE-UHFFFAOYSA-N 0.000 description 1
- XCZMUTGHJBFKPM-UHFFFAOYSA-N 4-methyl-8-phenoxy-1-(2-phenylethyl)-2,3-dihydropyrrolo[3,2-c]quinoline Chemical compound C1=C2C=3N(CCC=4C=CC=CC=4)CCC=3C(C)=NC2=CC=C1OC1=CC=CC=C1 XCZMUTGHJBFKPM-UHFFFAOYSA-N 0.000 description 1
- 241000589291 Acinetobacter Species 0.000 description 1
- 241000186046 Actinomyces Species 0.000 description 1
- JBRZTFJDHDCESZ-UHFFFAOYSA-N AsGa Chemical compound [As]#[Ga] JBRZTFJDHDCESZ-UHFFFAOYSA-N 0.000 description 1
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 1
- 101000870242 Bacillus phage Nf Tail knob protein gp9 Proteins 0.000 description 1
- 241000606125 Bacteroides Species 0.000 description 1
- 241000588807 Bordetella Species 0.000 description 1
- 241000589968 Borrelia Species 0.000 description 1
- 241000589562 Brucella Species 0.000 description 1
- 241001453380 Burkholderia Species 0.000 description 1
- 241000589876 Campylobacter Species 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 241000606161 Chlamydia Species 0.000 description 1
- 241000588881 Chromobacterium Species 0.000 description 1
- 241000193403 Clostridium Species 0.000 description 1
- 241000186216 Corynebacterium Species 0.000 description 1
- 241001445332 Coxiella <snail> Species 0.000 description 1
- 230000004544 DNA amplification Effects 0.000 description 1
- 108010013198 Daptomycin Proteins 0.000 description 1
- 108010002156 Depsipeptides Proteins 0.000 description 1
- MQIUGAXCHLFZKX-UHFFFAOYSA-N Di-n-octyl phthalate Natural products CCCCCCCCOC(=O)C1=CC=CC=C1C(=O)OCCCCCCCC MQIUGAXCHLFZKX-UHFFFAOYSA-N 0.000 description 1
- KCXVZYZYPLLWCC-UHFFFAOYSA-N EDTA Chemical compound OC(=O)CN(CC(O)=O)CCN(CC(O)=O)CC(O)=O KCXVZYZYPLLWCC-UHFFFAOYSA-N 0.000 description 1
- 241000605314 Ehrlichia Species 0.000 description 1
- 241000588914 Enterobacter Species 0.000 description 1
- 241000702333 Enterobacteria phage G4 Species 0.000 description 1
- 241000702336 Enterobacteria phage S13 Species 0.000 description 1
- 241000701542 Enterobacteria phage T2 Species 0.000 description 1
- 241000702371 Enterobacteria phage f1 Species 0.000 description 1
- CTBBEXWJRAPJIZ-UHFFFAOYSA-N Enterocin Natural products O1C(=O)C=C(OC)C=C1C1C(C2O)(O)C(C(=O)C=3C=CC=CC=3)C3(O)C(=O)OC2CC31O CTBBEXWJRAPJIZ-UHFFFAOYSA-N 0.000 description 1
- GDSYPXWUHMRTHT-UHFFFAOYSA-N Epidermin Natural products N#CCC(C)(C)OC1OC(CO)C(O)C(O)C1O GDSYPXWUHMRTHT-UHFFFAOYSA-N 0.000 description 1
- 239000004593 Epoxy Substances 0.000 description 1
- 241001288369 Escherichia virus T1 Species 0.000 description 1
- 241000701533 Escherichia virus T4 Species 0.000 description 1
- 241000701988 Escherichia virus T5 Species 0.000 description 1
- 229910002601 GaN Inorganic materials 0.000 description 1
- 229910005540 GaP Inorganic materials 0.000 description 1
- 229910001218 Gallium arsenide Inorganic materials 0.000 description 1
- JMASRVWKEDWRBT-UHFFFAOYSA-N Gallium nitride Chemical compound [Ga]#N JMASRVWKEDWRBT-UHFFFAOYSA-N 0.000 description 1
- 108010026389 Gramicidin Proteins 0.000 description 1
- 241000606790 Haemophilus Species 0.000 description 1
- 241000589989 Helicobacter Species 0.000 description 1
- GPXJNWSHGFTCBW-UHFFFAOYSA-N Indium phosphide Chemical compound [In]#P GPXJNWSHGFTCBW-UHFFFAOYSA-N 0.000 description 1
- 241000588748 Klebsiella Species 0.000 description 1
- 241000589248 Legionella Species 0.000 description 1
- 208000007764 Legionnaires' Disease Diseases 0.000 description 1
- 241000186781 Listeria Species 0.000 description 1
- 208000016604 Lyme disease Diseases 0.000 description 1
- 241000186359 Mycobacterium Species 0.000 description 1
- 241000204031 Mycoplasma Species 0.000 description 1
- 241000588653 Neisseria Species 0.000 description 1
- 229930193140 Neomycin Natural products 0.000 description 1
- 108010053775 Nisin Proteins 0.000 description 1
- NVNLLIYOARQCIX-MSHCCFNRSA-N Nisin Chemical compound N1C(=O)[C@@H](CC(C)C)NC(=O)C(=C)NC(=O)[C@@H]([C@H](C)CC)NC(=O)[C@@H](NC(=O)C(=C/C)/NC(=O)[C@H](N)[C@H](C)CC)CSC[C@@H]1C(=O)N[C@@H]1C(=O)N2CCC[C@@H]2C(=O)NCC(=O)N[C@@H](C(=O)N[C@H](CCCCN)C(=O)N[C@@H]2C(NCC(=O)N[C@H](C)C(=O)N[C@H](CC(C)C)C(=O)N[C@H](CCSC)C(=O)NCC(=O)N[C@H](CS[C@@H]2C)C(=O)N[C@H](CC(N)=O)C(=O)N[C@H](CCSC)C(=O)N[C@H](CCCCN)C(=O)N[C@@H]2C(N[C@H](C)C(=O)N[C@@H]3C(=O)N[C@@H](C(N[C@H](CC=4NC=NC=4)C(=O)N[C@H](CS[C@@H]3C)C(=O)N[C@H](CO)C(=O)N[C@H]([C@H](C)CC)C(=O)N[C@H](CC=3NC=NC=3)C(=O)N[C@H](C(C)C)C(=O)NC(=C)C(=O)N[C@H](CCCCN)C(O)=O)=O)CS[C@@H]2C)=O)=O)CS[C@@H]1C NVNLLIYOARQCIX-MSHCCFNRSA-N 0.000 description 1
- 241001647379 Parachlamydia Species 0.000 description 1
- 241000606860 Pasteurella Species 0.000 description 1
- 108010080032 Pediocins Proteins 0.000 description 1
- 108010040201 Polymyxins Proteins 0.000 description 1
- 241000605894 Porphyromonas Species 0.000 description 1
- 241000588769 Proteus <enterobacteria> Species 0.000 description 1
- 241000588768 Providencia Species 0.000 description 1
- 241000589516 Pseudomonas Species 0.000 description 1
- 108010025955 Pyocins Proteins 0.000 description 1
- 241000606701 Rickettsia Species 0.000 description 1
- 241000607142 Salmonella Species 0.000 description 1
- 241000607720 Serratia Species 0.000 description 1
- 241000607768 Shigella Species 0.000 description 1
- 229910052581 Si3N4 Inorganic materials 0.000 description 1
- 241000191940 Staphylococcus Species 0.000 description 1
- 241000194017 Streptococcus Species 0.000 description 1
- 241000194019 Streptococcus mutans Species 0.000 description 1
- 108010059993 Vancomycin Proteins 0.000 description 1
- 241000607598 Vibrio Species 0.000 description 1
- 108010067390 Viral Proteins Proteins 0.000 description 1
- 108010039472 Warnerin Proteins 0.000 description 1
- 241000607734 Yersinia <bacteria> Species 0.000 description 1
- 239000002318 adhesion promoter Substances 0.000 description 1
- YNCRAYSPLQSJIP-JHNPATRKSA-N agrocin 84 Chemical compound O[C@@H]1[C@H](O)[C@@H](COP(O)(=O)NC(=O)[C@@H](O)[C@H](O)C(C)C)O[C@H]1N1C2=NC=NC(NP(O)(=O)OC3[C@@H]([C@@H](O)[C@H]([C@H](O)CO)O3)O)=C2N=C1 YNCRAYSPLQSJIP-JHNPATRKSA-N 0.000 description 1
- 229910001413 alkali metal ion Inorganic materials 0.000 description 1
- 229910021417 amorphous silicon Inorganic materials 0.000 description 1
- 239000012491 analyte Substances 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 108010050826 aureocin A70 Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- BJQHLKABXJIVAM-UHFFFAOYSA-N bis(2-ethylhexyl) phthalate Chemical compound CCCCC(CC)COC(=O)C1=CC=CC=C1C(=O)OCC(CC)CCCC BJQHLKABXJIVAM-UHFFFAOYSA-N 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 239000002041 carbon nanotube Substances 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- RKLXDNHNLPUQRB-TVJUEJKUSA-N chembl564271 Chemical compound C([C@@H](C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H]1C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H]2C(C)SC[C@H](N[C@@H](CC(N)=O)C(=O)NC(=O)[C@@H](NC2=O)CSC1C)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H]([C@@H](C)CC)C(=O)NC(=C)C(=O)N[C@@H](CCCCN)C(O)=O)NC(=O)[C@H]1NC(=O)C(=C\C)/NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](C)NC(=O)CNC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H]2NC(=O)CNC(=O)[C@@H]3CCCN3C(=O)[C@@H](NC(=O)[C@H]3N[C@@H](CC(C)C)C(=O)NC(=O)C(=C)NC(=O)CC[C@H](NC(=O)[C@H](NC(=O)[C@H](CCCCN)NC(=O)[C@@H](N)CC=4C5=CC=CC=C5NC=4)CSC3)C(O)=O)C(C)SC2)C(C)C)C(C)SC1)C1=CC=CC=C1 RKLXDNHNLPUQRB-TVJUEJKUSA-N 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 229910052681 coesite Inorganic materials 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 229910052906 cristobalite Inorganic materials 0.000 description 1
- 238000012258 culturing Methods 0.000 description 1
- DOAKLVKFURWEDJ-QCMAZARJSA-N daptomycin Chemical compound C([C@H]1C(=O)O[C@H](C)[C@@H](C(NCC(=O)N[C@@H](CCCN)C(=O)N[C@@H](CC(O)=O)C(=O)N[C@H](C)C(=O)N[C@@H](CC(O)=O)C(=O)NCC(=O)N[C@H](CO)C(=O)N[C@H](C(=O)N1)[C@H](C)CC(O)=O)=O)NC(=O)[C@H](CC(O)=O)NC(=O)[C@@H](CC(N)=O)NC(=O)[C@H](CC=1C2=CC=CC=C2NC=1)NC(=O)CCCCCCCCC)C(=O)C1=CC=CC=C1N DOAKLVKFURWEDJ-QCMAZARJSA-N 0.000 description 1
- 229960005484 daptomycin Drugs 0.000 description 1
- 239000008367 deionised water Substances 0.000 description 1
- 229910021641 deionized water Inorganic materials 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 229910001873 dinitrogen Inorganic materials 0.000 description 1
- 108010067071 duramycin Proteins 0.000 description 1
- 239000008393 encapsulating agent Substances 0.000 description 1
- 108010064962 epidermin Proteins 0.000 description 1
- CXTXHTVXPMOOSW-JUEJINBGSA-N epidermin Chemical compound C([C@H]1C(=O)N[C@H](C(=O)N[C@@H](CSC[C@H](C(N[C@@H](CCCCN)C(=O)N1)=O)NC(=O)[C@H](C)NC(=O)[C@@H](N)[C@@H](C)CC)C(=O)N[C@H]1C(N2CCC[C@H]2C(=O)NCC(=O)N[C@@H](CS[C@H]1C)C(=O)N[C@@H](C)C(=O)N[C@@H](CCCCN)C(=O)N\C(=C/C)C(=O)NCC(=O)N[C@H]1C(N[C@@H](CC=2C=CC=CC=2)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@H]2C(=O)N[C@@H](CC=3C=CC(O)=CC=3)C(=O)N[C@H](C(N\C=C/SC2)=O)CSC1)=O)=O)[C@@H](C)CC)C1=CC=CC=C1 CXTXHTVXPMOOSW-JUEJINBGSA-N 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 108010047651 gallidermin Proteins 0.000 description 1
- AHMZTHYNOXWCBS-PCUVAHMGSA-N gallidermin Chemical compound C([C@H]1C(=O)N[C@@H](CC(C)C)C(=O)N[C@H](CSC[C@H](C(N[C@@H](CCCCN)C(=O)N1)=O)NC(=O)[C@H](C)NC(=O)[C@@H](N)[C@@H](C)CC)C(=O)N[C@H]1C(N2CCC[C@H]2C(=O)NCC(=O)N[C@H](CS[C@H]1C)C(=O)N[C@@H](C)C(=O)N[C@@H](CCCCN)C(=O)N\C(=C\C)C(=O)NCC(=O)N[C@H]1C(N[C@@H](CC=2C=CC=CC=2)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@H]2C(=O)N[C@@H](CC=3C=CC(O)=CC=3)C(=O)N[C@@H](C(N/C=C/SC2)=O)CSC1)=O)=O)C1=CC=CC=C1 AHMZTHYNOXWCBS-PCUVAHMGSA-N 0.000 description 1
- HZXMRANICFIONG-UHFFFAOYSA-N gallium phosphide Chemical compound [Ga]#P HZXMRANICFIONG-UHFFFAOYSA-N 0.000 description 1
- 108010070411 gardimycin Proteins 0.000 description 1
- LAWKVNVCUPIOMG-HWWYPGLISA-N gardimycin Chemical compound C1=CC=C2C(C[C@H](C(=O)NCC(=O)N[C@H](CO)C(=O)N[C@H](C)C(=O)NCC(=O)N[C@H](CC)C(=O)N[C@H](C(=O)N[C@@H]([C@@H](C)CC)C(=O)N[C@H](C)C(=O)N[C@@H](C)C(=O)N[C@H](C)C(O)=O)C(C)C)NC(=O)[C@@H](NC(=O)[C@@H](C)NC(=O)[C@@H](CC)NC(=O)[C@@H](CCC(O)=O)NC(=O)[C@@H](NC(=O)[C@@H](CC)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](C)N)[C@@H](C)CC)C(C)C)=CNC2=C1 LAWKVNVCUPIOMG-HWWYPGLISA-N 0.000 description 1
- 210000001035 gastrointestinal tract Anatomy 0.000 description 1
- 229910052732 germanium Inorganic materials 0.000 description 1
- GNPVGFCGXDBREM-UHFFFAOYSA-N germanium atom Chemical compound [Ge] GNPVGFCGXDBREM-UHFFFAOYSA-N 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000001963 growth medium Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000012212 insulator Substances 0.000 description 1
- 230000003834 intracellular effect Effects 0.000 description 1
- 239000002555 ionophore Substances 0.000 description 1
- 230000000236 ionophoric effect Effects 0.000 description 1
- 108010062224 lactocin S Proteins 0.000 description 1
- SFWLDKQAUHFCBS-WWXQEMPQSA-N lancovutide Chemical compound C([C@H]1C(=O)N[C@H](C(N[C@@H]2C(=O)N[C@H](C(=O)NCC(=O)N[C@@H](CC(N)=O)C(=O)N[C@H]3C(=O)N[C@@H](CCCCNC[C@H]4C(=O)N[C@@H](CC=5C=CC=CC=5)C(=O)NCC(=O)N5CCC[C@H]5C(=O)N[C@@H](CC=5C=CC=CC=5)C(=O)N[C@H]([C@@H](SC[C@H](NC(=O)[C@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CCCCN)NC(=O)[C@@H](N)CSC3C)CSC2)C(=O)N4)C)C(=O)N1)C(O)=O)[C@@H](O)C(O)=O)=O)C(C)C)C1=CC=CC=C1 SFWLDKQAUHFCBS-WWXQEMPQSA-N 0.000 description 1
- CPLXHLVBOLITMK-UHFFFAOYSA-N magnesium oxide Inorganic materials [Mg]=O CPLXHLVBOLITMK-UHFFFAOYSA-N 0.000 description 1
- 239000000395 magnesium oxide Substances 0.000 description 1
- AXZKOIWUVFPNLO-UHFFFAOYSA-N magnesium;oxygen(2-) Chemical compound [O-2].[Mg+2] AXZKOIWUVFPNLO-UHFFFAOYSA-N 0.000 description 1
- 230000028161 membrane depolarization Effects 0.000 description 1
- 108010067215 mersacidin Proteins 0.000 description 1
- JSWKNDSDVHJUKY-CYGWNLPQSA-N mersacidin Chemical compound C([C@@H](C(=O)N[C@@H]1[C@H](C)SC[C@H](NC(=O)[C@H](C(C)C)NC(=O)CNC(=O)CNC(=O)CNC(=O)CNC(=O)[C@@H]2CCCN2C(=O)[C@H](CC(C)C)NC1=O)C(=O)N[C@@H]1[C@H](C)SC[C@H]2C(=O)N[C@H](C(N/C=C/S[C@@H](C)C(NC(=O)[C@H](CC(C)C)NC1=O)C(=O)NC(=C)C(=O)N[C@@H](CCC(O)=O)C(=O)N2)=O)[C@H](C)CC)NC(=O)[C@H]1[C@@H](SC[C@H](N)C(=O)N1)C)C1=CC=CC=C1 JSWKNDSDVHJUKY-CYGWNLPQSA-N 0.000 description 1
- 108010012906 microbisporicin Proteins 0.000 description 1
- 108010079904 microcin Proteins 0.000 description 1
- SUJOIPVTNUVDCB-UHFFFAOYSA-N mutactin Natural products CC1=CC(O)=C2C(=O)CC(O)CC2=C1C1=CC(O)=CC(=O)O1 SUJOIPVTNUVDCB-UHFFFAOYSA-N 0.000 description 1
- 229960004927 neomycin Drugs 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 239000004309 nisin Substances 0.000 description 1
- 235000010297 nisin Nutrition 0.000 description 1
- 102000039446 nucleic acids Human genes 0.000 description 1
- 108020004707 nucleic acids Proteins 0.000 description 1
- 150000007523 nucleic acids Chemical class 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000003960 organic solvent Substances 0.000 description 1
- 108010080433 planosporicin Proteins 0.000 description 1
- 229920000052 poly(p-xylylene) Polymers 0.000 description 1
- 229910021420 polycrystalline silicon Inorganic materials 0.000 description 1
- 229920000642 polymer Polymers 0.000 description 1
- 229940041153 polymyxins Drugs 0.000 description 1
- 229920005591 polysilicon Polymers 0.000 description 1
- 239000004800 polyvinyl chloride Substances 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 239000010453 quartz Substances 0.000 description 1
- 239000012088 reference solution Substances 0.000 description 1
- 230000010076 replication Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 229910052594 sapphire Inorganic materials 0.000 description 1
- 239000010980 sapphire Substances 0.000 description 1
- 238000002444 silanisation Methods 0.000 description 1
- HBMJWWWQQXIZIP-UHFFFAOYSA-N silicon carbide Chemical compound [Si+]#[C-] HBMJWWWQQXIZIP-UHFFFAOYSA-N 0.000 description 1
- 229910010271 silicon carbide Inorganic materials 0.000 description 1
- 230000007928 solubilization Effects 0.000 description 1
- 238000005063 solubilization Methods 0.000 description 1
- 229910052682 stishovite Inorganic materials 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 108010082567 subtilin Proteins 0.000 description 1
- ONUMZHGUFYIKPM-MXNFEBESSA-N telavancin Chemical compound O1[C@@H](C)[C@@H](O)[C@](NCCNCCCCCCCCCC)(C)C[C@@H]1O[C@H]1[C@H](OC=2C3=CC=4[C@H](C(N[C@H]5C(=O)N[C@H](C(N[C@@H](C6=CC(O)=C(CNCP(O)(O)=O)C(O)=C6C=6C(O)=CC=C5C=6)C(O)=O)=O)[C@H](O)C5=CC=C(C(=C5)Cl)O3)=O)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](NC(=O)[C@@H](CC(C)C)NC)[C@H](O)C3=CC=C(C(=C3)Cl)OC=2C=4)O[C@H](CO)[C@@H](O)[C@@H]1O ONUMZHGUFYIKPM-MXNFEBESSA-N 0.000 description 1
- 108010089019 telavancin Proteins 0.000 description 1
- 229960005240 telavancin Drugs 0.000 description 1
- 108010067167 thuricin Proteins 0.000 description 1
- 229910052905 tridymite Inorganic materials 0.000 description 1
- 108010062785 trifolitoxin Proteins 0.000 description 1
- 229960003165 vancomycin Drugs 0.000 description 1
- MYPYJXKWCTUITO-LYRMYLQWSA-N vancomycin Chemical compound O([C@@H]1[C@@H](O)[C@H](O)[C@@H](CO)O[C@H]1OC1=C2C=C3C=C1OC1=CC=C(C=C1Cl)[C@@H](O)[C@H](C(N[C@@H](CC(N)=O)C(=O)N[C@H]3C(=O)N[C@H]1C(=O)N[C@H](C(N[C@@H](C3=CC(O)=CC(O)=C3C=3C(O)=CC=C1C=3)C(O)=O)=O)[C@H](O)C1=CC=C(C(=C1)Cl)O2)=O)NC(=O)[C@@H](CC(C)C)NC)[C@H]1C[C@](C)(N)[C@H](O)[C@H](C)O1 MYPYJXKWCTUITO-LYRMYLQWSA-N 0.000 description 1
- MYPYJXKWCTUITO-UHFFFAOYSA-N vancomycin Natural products O1C(C(=C2)Cl)=CC=C2C(O)C(C(NC(C2=CC(O)=CC(O)=C2C=2C(O)=CC=C3C=2)C(O)=O)=O)NC(=O)C3NC(=O)C2NC(=O)C(CC(N)=O)NC(=O)C(NC(=O)C(CC(C)C)NC)C(O)C(C=C3Cl)=CC=C3OC3=CC2=CC1=C3OC1OC(CO)C(O)C(O)C1OC1CC(C)(N)C(O)C(C)O1 MYPYJXKWCTUITO-UHFFFAOYSA-N 0.000 description 1
- 108010005406 variacin Proteins 0.000 description 1
- 108010054967 vibriocin Proteins 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
- 239000011787 zinc oxide Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
- G01N27/403—Cells and electrode assemblies
- G01N27/414—Ion-sensitive or chemical field-effect transistors, i.e. ISFETS or CHEMFETS
- G01N27/4145—Ion-sensitive or chemical field-effect transistors, i.e. ISFETS or CHEMFETS specially adapted for biomolecules, e.g. gate electrode with immobilised receptors
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/02—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving viable microorganisms
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/70—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving virus or bacteriophage
Definitions
- DNA-based detection approaches offer the potential for miniaturization and have been integrated on silicon chips.
- the disadvantages of these methods are laborious sample preparation. More importantly, these methods primarily do not distinguish between living and dead bacterial cells.
- ISFETS ion-sensitive field effect transistors
- FIG. 1 illustrates four building blocks of the bacterial sensor system, in accordance with an example embodiment of the disclosure.
- FIG. 2 illustrates a bacteriophage and its interaction with a target bacteria cell, in accordance with an example embodiment of the disclosure.
- FIG. 3 shows a block diagram of a potassium-sensitive system on chip, in accordance with an example embodiment of the disclosure.
- FIG. 4 illustrates the structure of valinomycin with a potassium ion held inside the cylinder, in accordance with an example embodiment of the disclosure.
- FIG. 5 is a diagram of an ion sensitive field effect transistor bias and readout circuit, in accordance with an example embodiment of the disclosure.
- FIG. 6 is a photograph of a die comprising ion sensitive field effect transistors and associated readout circuitry, in accordance with an example embodiment of the disclosure.
- FIG. 7 shows the block diagram of an experimental setup for sensing the presence of bacteria cells, in accordance with an example embodiment of the disclosure.
- FIG. 8 shows experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure.
- FIG. 9 illustrates a differential ion sensitive field effect transistor circuit, in accordance with an example embodiment of the disclosure.
- FIG. 10 shows additional experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure.
- FIG. 11 shows additional experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure.
- FIG. 12 shows additional experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure.
- FIGS. 13A-13C illustrate applications for ISFET-based bacteria sensors, in accordance with an example embodiment of the disclosure.
- the present disclosure includes a bacteria identification sensor integrated in CMOS using bacteriophages (phages) as biological sensing elements combined with ion-selective FETs (ISFET) implemented in conventional CMOS technology to accurately detect specific strains of living bacteria in shorter times, for example less than 30 minutes.
- the present technology employs sensitive low-noise electronic circuits combined with biological sensing elements (e.g., bacteriophages) to provides, among other things, a simple low-cost platform for the detection of bacteria, and the specificity required to sense different strains of living bacterial cells accurately.
- Other antimicrobial agents that result in bacteria cell wall permeabilization can be used instead of phages.
- the present technology can be used to test the effectiveness of antibacterial agents in samples.
- ISFETs in conventional processes are not used for ion concentration measurements because of non-idealities like drift.
- the presented system shows that they can be effectively used in applications like bacteria detection.
- the bacterial sensor system or bacteria identification sensor, is generally comprised of four building blocks as detailed in FIG. 1 .
- the biological transducer generates the detectable signal in the electrical transducer. It consists of the test sample plus phages specific to a particular bacterial cell.
- the output signals from this block are the released potassium ions in the sample that need to be converted into an electrical signal using the electrical transducer (ISFET) block.
- the analog circuitry that reads the signal from the electrical transducer is the analog front-end whose output is then converted to a digital representation by an analog-to-digital converter.
- the digital output is transferred to a PC or a microprocessor and is further processed, stored and/or visualized.
- integrated sensor may be fabricated using a silicon-based implementation.
- standard CMOS technology may be used.
- some or all of the various blocks shown in FIG. 1 may be integrated on a CMOS chip.
- the readout circuitry, analog-to-digital converter (ADC), and associated processing circuitry may also be integrated on chip, and coupled by wire or wirelessly to external devices, such as a computer or other test equipment.
- integrated sensor may be fabricated in a substrate selected from the group consisting of silicon, plastic, polymer, glass, sapphire, quartz, carbon, silica, silicon carbide, zinc oxide, magnesium oxide, manganese oxide, germanium, gallium nitride, gallium arsenide, gallium phosphide, indium phosphide, polysilicon, n-type diffusion semiconductor material, and p-type diffusion semiconductor material.
- some or all of the various blocks shown in FIG. 1 may be integrated using combinations of CNTs, FETs, JFETs, MOSFETs, OSFETs, FinFETs, bipolar transistors, amorphous silicon TFTs, plastic transistors and organic transistors.
- bacteriophages that infect that strain.
- the interaction between the phage tail fibers and receptors on the bacterial cell surface results in attachment of the phage to the bacterial cell.
- the cell membrane goes through a depolarization phase and becomes permeable to specific ions especially potassium ions.
- Phage DNA is transferred from the head part of the phage to inside the cell.
- an efflux of ions from inside the cell to the media outside the cell as shown in FIG. 2 .
- Potassium ions are the dominant ions inside the cell that flow to the outside sample as a result of phage infection. This transient efflux of K+ is used as the signal to be detected in an electrical transducer using potassium sensitive ISFETs.
- bacteria examples include both Gram-positive and Gram-negative bacteria such as members of the genera Acinetobacter, Burkholderia, Escherichi, Legionella, Borrelia, Helicobacter, Parachlamydia, Bacteroides, Coxiella, Ehrlichia, Pasteurella, Porphyromonas, and Rickettsia, Enterobacter, Salmonella, Staphylococcus, Shigella, Listeria, Aerobacter, Klebsiella, Proteus, Pseudomonas, Streptococcus, Chlamydia, Mycoplasma, Pneumococcus, Neisseria, Clostridium, Bacillus, Corynebacterium, Mycobacterium, Campylobacter, Vibrio, Serratia, Providencia, Chromobacterium, Brucella, Yersinia, Haemophilus and Bordetella
- bacteriophage examples include libraries of Siphoviridae, Myoviridae, and Podoviridae, including those available in the American Type Culture Collection (ATCC) and those isolated from relevant bacterial strains. Phages engineered for both broad and narrow host ranges by swapping, fusing, or otherwise manipulating the host-specificity determinants encoded in the tail proteins. Other examples include S.
- mutans phages Bacillus phage PHI.29, Actinomyces phages, bacteriophage M102, bacteriophage e10, bacteriophage f1, bacteriophage lamda., bacteriophage PI, spherical phage PhiX174, spherical phage G4, spherical phage S13, bacteriophage T1, bacteriophage T2, bacteriophage T3, bacteriophage T4, bacteriophage T5, bacteriophage T6, bacteriophage T7, ssRNA bacteriophages MS2, ssRNA bacteriophages R17, ssRNA bacteriophages f2, and ssRNA bacteriophages Q beta. Phage libraries are available in collections of the American Type Culture Collection (ATCC).
- ATCC American Type Culture Collection
- phage tail-like bacteriocins PTLB
- ghost phages antimicrobial peptide
- bacterial lytic enzymes bacteriophage lytic enzyme and antibiotics
- Phage ghosts are the viral protein shell from which the genome has been extracted. Examples of phage ghosts include those prepared from the Siphoviridae, Myoviridae, and Podoviridae families. Examples of bacteriophage lytic enzymes include various bacteriocins. bacteriophage lytic enzymes include lytic agents produced by bacteriophages infecting Gram-positive and Gram-negative bacteria.
- lytic enzymes bacterial and bacteriophage based
- bacteriocins and lysins e.g., BAGEL2, BACTIBASE, phiBIOTICS, EnzyBase
- bacteriocins include acidocin, actagardine, agrocin, alveicin, aureocin, aureocin A53, aureocin A70, carnocin, carnocyclin, colicin, curvaticin, divercin, duramycin, enterocin, enterolysin, epidermin/gallidermin, erwiniocin, glycinecin, halocin, haloduracin, Lactocin S, lysostaphin, lactococin, lacticin, leucoccin, macedocin, mersacidin, mesentericin, microbisporicin, Microcin S, mutacin, nisin, paenibacillin, planosporicin, pediocin, pentocin, plantaricin, pyocin, reutericin, sakacin, salivaricin, subtilin, sulfolobici
- Phage tail-like bacteriocins are high molecular weight bacteriocins that are evolutionarily related to phage tails. Examples include R- and F-pyocins, Diffocin, Enterocoliticin, and Carotovoracin.
- Bacteriocidal antibiotics include, for example, Polymyxins, Colistins, Gramicidins, Neomycin, Vancomycin, Daptomycin, Telavancin, DCAP and HT61.
- the outputs of the biological transducer are the potassium ions.
- the level of potassium build-up after the addition of bacteriophage to a sample is proportional to the concentration of the present infected bacterial cells.
- CMOS-based ISFETs are the ideal transducers for sensing a specific ion in the sample. They offer rapid response time, small size and can be integrated along with other required readout and signal processing circuitry on the same integrated circuit or chip; hence low noise and small form-factor systems can be implemented with multiple measurement channels.
- FIG. 3 is a block diagram of a potassium-sensitive system on chip, in accordance with an example embodiment of the disclosure.
- a chip 300 comprising p-channel metal-oxide semiconductor (PMOS) transistors, such as the PMOS transistor 301 , integrated on the chip 300 , with its gate connected through vias and multiple levels of metal, such as the metal layers 1-6, to the top metal layer, the M6 electrode 315 .
- the PMOS transistor 301 may have a width/length ratio of 400 / 1 .
- the PMOS transistor 301 maybe substituted (with appropriate circuit modifications) by an NMOS transistor.
- NMOS or PMOS transistor may have other width/length ratios.
- the PMOS transistor 301 may be formed in the substrate 301 , which may comprise a silicon CMOS wafer or a silicon-on-insulator (SOI) wafer, for example.
- Metal and insulating layers such as the metal layers 313 A and 313 B and passivation layer 317 , respectively may be formed on top of the CMOS transistors, such as the PMOS transistor 301 , on the substrate 303 , for connecting the devices to external contacts, such as the M6 electrode 315 , which may comprise a 20 ⁇ 20 um pad, for example.
- the passivation layer 317 on top of the top metal, M6 electrode 315 may comprise a mixture of SiO 2 and Si3N 4 , for example, which may be suitable for pH sensors (H+ ions).
- a potassium sensitive membrane 319 may be prepared and deposited on top of the chip 300 .
- a potassium sensitive membrane 319 may be prepared and deposited on top of the chip 300 directly touching the top Metal electrode 315 .
- top metal layer e.g. M6 electrode 315
- a potassium sensitive membrane 319 may be prepared and deposited on top of the intermediate layers other than passivation layer.
- the passivation layer 319 or some intermediate layer on top metal can be made potassium sensitive by methods other than deposition.
- the encapsulation layer 321 may comprise an epoxy encapsulant, or parylene or other suitable material, for protecting portions of the chip 300 , while not covering portions to be used in sensing ions, such as the potassium sensing membrane 319 .
- the material for the encapsulation layer 321 may be chosen based on what chemical compounds it will be exposed to in operation.
- CMOS transistor and potassium-sensitive membrane are shown in FIG. 3 , any number of transistors and membranes may be integrated on the chip 300 .
- multiple transistors, each with different ion-sensitive membranes may be integrated, providing sensitivity to multiple types of bacteria or ions.
- different size membranes may be coupled to CMOS transistors for possible concentration measurements.
- CMOS transistors may be coupled in a differential configuration with one coupled to a ion-sensitive membrane and another to an ion-insensitive membrane, as shown in FIG. 9 .
- both outputs may be connected to difference amplifiers to measure the difference between the signals.
- the potassium-sensitive membrane 319 may comprise a macrocyclic substance from a group of depsipeptides, such as valinomycin, as the ion-exchanger.
- This antibiotic forms complexes with alkali metal ions and is highly selective to potassium K+ ions, and is a member of group of natural neutral ionophores.
- FIG. 4 shows the structure of the valinomycin, where the potassium ion is held inside the cylinder that fits the size of K+ ion.
- the ion-exchanger is dissolved in an organic solvent like tetrahydrofuran (THF) along with polyvinylchloride (PVC) and plastizer dioctylphthalate that together build a porous membrane to hold the valinoymicin inside the membrane structure.
- THF tetrahydrofuran
- PVC polyvinylchloride
- plastizer dioctylphthalate that together build a porous membrane to hold the valinoymicin inside the membrane structure.
- the encapsulated chip may be cleaned using acetone and isopropanol and then deionized water.
- the chip may be dried using nitrogen gas and placed in an oven at 110 C.
- a small droplet of Microprimer P20 (ShinEtsu MicroSi) may be deposited on the surface of the chip as an adhesion promoter under the fumehood.
- droplets of the membrane solution may be dispensed on top of the electrodes 2 to 3 times with 5-minute intervals in between applications to create a smooth membrane layer with a thickness in the range of 100 to 300 ⁇ m without any pinholes.
- the membrane may be left to dry (at room temperature) for several hours. This process results in a K+ sensitive ISFET as the electrical transducer.
- FIG. 5 is a diagram of an ion sensitive field effect transistor bias and readout circuit, in accordance with an example embodiment of the disclosure.
- ISFET circuit 500 comprising a drain-source follower arrangement used to read the ISFET threshold variations.
- the ISFET 505 may comprise a PMOS FET with ion sensitive membrane, as described with respect to FIG. 3 .
- ISFET circuit 500 comprises current sources for controlling the bias conditions for the ISFET 505 , which may be in contact with a sample 510 .
- current source ID 509 may be operable to control the bias current of the ISFET 505 .
- the inset to the right in FIG. 5 is a schematic of the current source ID 509 , comprising an operational amplifier (op amp) A 3 511 , a feedback resistor RF, feedback capacitor C, a variable load resistor RL, and a current source I 2 513 .
- the load resistor RL may have a resistance that is a multiple N times the resistor R 1 .
- the op amps A 1 501 and A 2 503 may be operable to control the drain-source voltage (VDS) of the ISFET 505 .
- VDS drain-source voltage
- the op amps act to keep the voltage difference between their inputs at zero, so that the output tracks with the non-inverting inputs.
- the outputs of the op amps 501 and 503 essentially define the source and drain voltages, i.e., VDS.
- both VDS and drain current (ID) of the ISFET may be fixed to 0.5 volts and 100 ⁇ A, respectively.
- a fixed DC voltage (VG) may be applied to the solution being in contact with the ISFET 505 using a reference electrode in the solution.
- the source voltage (VS) of the ISFET may be measured using a readout circuit, which may be integrated on the chip comprising the ISFET 505 or may be external to the chip.
- the gate source voltage, VGS, of the PMOS ISFET 505 may be defined by the process parameters of the transistor when a fixed drain-source voltage, VDS, and drain current ID are applied.
- the changes in the threshold voltage of the ISFET 505 because of K+ concentration variations placing a charge on the gate terminal of the ISFET 505 , may be reflected in the source voltage, VS. As the concentration of K+ increases, VS may also increase.
- both current ID and VDS of the ISFET 505 may be variable to enable complete ID-VDS characterization curves.
- FIG. 6 is a photograph of a die comprising ion sensitive field effect transistors and associated readout circuitry, in accordance with an example embodiment of the disclosure.
- an ISFET system 600 implemented in a standard 0.18 ⁇ m CMOS technology.
- the implemented 0.18 ⁇ m CMOS chip die photo is shown in FIG. 6 .
- This chip contains several measurement channels with different sized electrodes as well as other test circuitry. Outputs of the ISFET readout circuits were converted to a digital representation and transferred to a PC using a data acquisition board and visualized real-time using lab system monitoring software.
- the ISFETS may be integrated in conventional CMOS circuits, much of the processing and readout circuitry may be integrated on the sensor chip, as opposed to external boards and systems.
- ADCs analog-to-digital converters
- the chip or chips may be encapsulated to isolate the bond wires from the sample, leaving only the electrodes exposed.
- Live bacterial cells and phages were used on the chip in demonstration of the ISFET system 600 .
- the chips may be cleaned and potassium-sensitive ISFET chips prepared as explained in the previous sections.
- the positive control experiments were performed using E.coli K-12 BL21 (DE- ⁇ tail), called BL21 here for simplicity, which are sensitive to phage T6.
- the negative control experiments were performed using bacterial cells E.coli K-12 BW25113 with TSX ⁇ , called TSX ⁇ here, which are insensitive to phage T6.
- the phages used throughout the experiments were T6 phages.
- Bacterial cultures were prepared overnight using frozen cultures inoculated in luria broth (LB) growth media. The overnight cultures were then inoculated to make fresh samples to be used the same day. The growth of the cells was monitored using a spectrophotometer that read the optical density (OD) of the samples compared to a blank LB sample. For both experiments, cultures were used as their OD reached 1.2, which translates to a cell concentration of approximately 10 9 cfu/ml. After growth, the bacteria were washed and resuspended twice in a clean media without potassium where they would remain alive without replication.
- LB luria broth
- the T6 phages were prepared beforehand and can be stored at 4° C. for several months without any drop in their concentration (i.e. titer).
- concentration of phages used in the experiments was 8 ⁇ 10 10 pfu/ml.
- FIG. 7 shows the block diagram of the setup.
- Two sets of experiments were performed using BL21 and TSX ⁇ cells, respectively.
- a positive control experiment was performed by mixing the BL21 cells with T6 phages.
- BL21 cells are sensitive to T6 phage and infection and release of potassium will proceed after mixture.
- a negative control experiment was performed by mixing the TSX ⁇ cells with T6 phages.
- TSX ⁇ cells are insensitive to T6 phages; hence no infection and no potassium release is expected.
- 0.5 ml of the bacterial cells (BL21 for positive control and TSX ⁇ for negative control) were transferred to the ISFET chip surface and the measurement started. ISFET outputs were recorded for 5 minutes without addition of the phages.
- This step can help identify the ISFET drift and obtain a DC baseline in the measurements.
- 204 of T6 phages were added to the sample and mixed thoroughly for 1 minute. The mixture was left on the chip for 30 minutes. Data was continuously recorded from the start of the measurement, through the mixing phase and also after mixing until the end of the experiment.
- the results shown in FIG. 8 were processed in Matlab with a 0.3 Hz low-pass filter. The results show ⁇ V changes to remove any DC baseline differences between the experiments. ISFETs are known to have inferior drift and hysteresis problems compared to ISE counterparts.
- FIG. 8 shows the results of both positive and negative control experiments. As shown, the output increases as a result of the efflux of potassium ions from the live infected cells in the positive control test. In the negative control experiment, the output continues to have the downward ISFET drift similar to that present before the addition of the phages.
- the designed sensor system can tolerate the non-idealities present in ISFET integrated circuits like drift, hysteresis and threshold variations without affecting the results.
- Simple signal processing circuitry can be added to enhance analysis and visualization.
- Post-processing circuitry can readily be integrated on-chip to indicate the detection of the target bacteria (present/not-present) in less than 30 minutes. Inspection of the measured results confirm that the detector outcome can accurately be determined within the first 10 minutes after mixing the bacteria and phage.
- An integrated ISFET chip provides an integrated lab-on-chip solution for the rapid identification of live bacteria. It combines the specificity of phages, as well as other appropriate antibacterial agents, as the biological detecting elements and the sensitivity afforded by ISFET and CMOS circuitry implemented in conventional CMOS technology whose electrodes are post-processed with a potassium-sensitive membrane. The implemented system along with measurement results show that the system can be exploited to achieve a low-cost, portable bacterial identification system. Non-idealities such as drift in ISFETs have no material effect on the integrity of collected data affording a detection time of less than 30 minutes.
- a micro-fluidic package may be added to transport the bacteria sample to the electrodes.
- micro-fluidic channels could be used to guide fluid to the measurement site that contains the electrodes. The use of such channels can prevent the liquid from spilling out into areas other than the test site and from contaminating the environment outside of the chip. This may be particularly advantageous when the fluid sample may contain dangerous bacteria.
- lambda cI857Sam7 phage can be combined with E.coli w3110 ⁇ fhuA as the positive control
- lambda cI857Sam7 phage can be combined E.coli w3110 ⁇ lamB as the negative control.
- Phage ghosts are bacteriophage particles that are lacking nucleic acid. These particles have the ability to depolarize the cell membrane and cause leakage of ions out of the cell. Phage ghosts may potentially be generated from any phage particle by knocking the DNA out of the head by, for example, but not limited to treating with EDTA.
- Antimicrobial peptides are short proteins that are naturally produced or chemically synthesized and exhibit a range of activities, including solubilization of the bacterial cell membrane. They are useful against Gram-positive and Gram-negative bacteria.
- Each chip may be prepared prior to testing a sample of bacteria by applying an appropriate antibacterial agent to the testing site (electrodes of the ISFETs).
- an appropriate antibacterial agent for example, but not limited to, the antibacterial agents mentioned above may be applied and/or immobilized to the electrodes.
- Sensor according to the present invention can be used at clinics or hospitals in order to quickly determine the effectiveness of a particular antibacterial agent in killing a bacterium causing an infection in a patient.
- the sensor can be used at clinics or hospitals in order to quickly identify the type of bacterium or bacteria causing infections in a patient.
- the healthcare professional(s) can quickly (on site) identify a specific and targeted treatment for the infection, in a much faster time frame as compared to sending a sample to a laboratory for analysis.
- a very specific antibiotic could be selected instead of a broad-spectrum antibiotic, which may cause other bacteria to be killed.
- FIG. 9 illustrates a differential ion sensitive field effect transistor circuit, in accordance with an example embodiment of the disclosure.
- a single ISFET 901 similar to the ISFET shown in FIG. 3 , and a differential ISFET configuration comprising the ISFET 903 , a common electrode 905 , an ion-insensitive FET (IISFET) 907 , and a differential input amplifier 909 .
- IISFET ion-insensitive FET
- the ISFET 903 may be substantially similar to the previously described ISFETS with a potassium sensitive membrane 917 , while the IISFET 907 may comprise a potassium ion insensitive membrane 913 , making it an ion in-sensitive FET, or IISFET.
- the CMOS transistor portions of the ISFET 903 and the IISFET 907 may be essentially identical due to the uniformity provided by adjacent devices fabricated in a CMOS process.
- the M6 pad 915 may comprise an external connection, via a wire bond, for example, to the common electrode 905 , which may replace the external reference electrode for the sample being measured by applying a gate voltage, as illustrated by the voltage V G in FIG. 3 .
- the common electrode 905 eliminates the need for a separate electrode for each ISFET in an array. The difference between the two signals may then be amplified by the differential amplifier 909 , where the output signal may be read from the differential ISFET output 911 .
- arrays of ISFET/IISFET differential pairs may be integrated on chip with varying sizes of M6 pads as well as different ion-sensitive membranes, enabling the sensing of a variety of bacteria and even the concentration of the bacteria.
- bacteriocins can be used to detect the presence of a bacterium in a sample using methods and devices according to the present disclosure.
- the bacteriocin Colicin A9 was combined with E.coli K12 BW25113 as the positive control.
- Colicin A9 was combined with Staphylococcus aureus 8325, and Colicin A9 was combined with Pseudomonas aeruginosa (PA01).
- PA01 Pseudomonas aeruginosa
- FIG. 10 shows the results of both positive and negative control experiments.
- the integrated potassium-sensitive chip can detect the presence of the specific E.coli strain K12 BW25113 using the bacteriocin Colicin A9. As shown, the output increases as a result of the efflux of potassium ions from cells in the positive control test, as compared to the negative controls.
- Colicin A9 examples of colicins that can be used instead of Colicin A9 above are Colicin K, Colicin E1, or Colicin B.
- lysostaphin can be used to detect the presence of a bacterium in a sample using methods and devices according to the present disclosure.
- the lysostaphin from Staphylococcus simulans was combined with Staphylococcus aureus 8325 as the positive control.
- lysostaphin from Staphylococcus simulans was combined with E.coli K12 BW25113, and lysostaphin from Staphylococcus simulans was combined with Pseudomonas aeruginosa (PA01).
- FIG. 11 shows the results of both positive and negative control experiments.
- the integrated potassium-sensitive chip can detect the presence of the specific bacterial strain Staphylococcus aureus 8325 using the lysostaphin from Staphylococcus simulans. As shown, the output increases as a result of the efflux of potassium ions from cells in the positive control test, as compared to the negative controls.
- This example demonstrates that antibiotics can be used to detect the presence of a bacterium in a sample using methods and devices according to the present disclosure.
- the Polymyxin B antibiotic (PMB) was combined with E.coli K12 BW25113 in SM buffer as the positive control.
- As the negative control Polymyxin B antibiotic (PMB) combined with E.coli K12 BL21 (DE3- ⁇ tail) (referred to as BL21) in SM buffer.
- BL21 E.coli K12 BL21
- FIG. 12 shows the results of both positive and negative control experiments.
- the integrated potassium-sensitive chip can detect the presence of the specific bacterial strain E.coli K12 using the Polymyxin B antibiotic (PMB).
- PMB Polymyxin B antibiotic
- the output increases as a result of the efflux of potassium ions from cells in the positive control test, as compared to the negative control.
- FIGS. 13A-13C illustrate applications for ISFET-based bacteria sensors, in accordance with an example embodiment of the disclosure.
- a CMOS ISFET sensor 1301 placed in a sample container, which may comprise a microcentrifuge tube, for example, although other sample container types may be utilized.
- the CMOS ISFET sensor 1301 may be encapsulated entirely except for sensor surfaces, and when placed in a sample container, may be exposed to the sample for measurement.
- FIG. 13B illustrates a wireless power transfer from a reader to a CMOS sensor in contact with analyte.
- data may be transferred between (to and/or from) the CMOS ISFET sensor 1301 and the reader utilizing the same wireless power link or an auxiliary near-field wireless link
- a sample sensor array 1305 shown in FIG. 13C , may comprise CMOS ISFET sensors placed in an array of sample containers, with wireless data transfer to a circuit board with sensor readout circuitry 1307 , thereby enabling the simultaneous testing of a plurality of samples, for example.
- CMOS ISFET sensors placed in an array of sample containers, with wireless data transfer to a circuit board with sensor readout circuitry 1307 , thereby enabling the simultaneous testing of a plurality of samples, for example.
- four microcentrifuge tubes may be placed in a tube rack with wireless coupling to the sensor readout circuitry 1307 .
- the present disclosure relates to a sensor for detecting the presence of different bacterial strains in a sample by detecting the permeabilization of the bacteria cell wall by one or more antibacterial agents.
- Another aspect the present invention relates to a sensor for determining or estimating the concentration of different bacterial strains in a sample by detecting the permeabilization of the bacteria cell wall by one or more antibacterial agents.
- the sensor includes antimicrobial agents, integrated ISFETs, possible additional ion-selective membranes, ISFET reading circuits, amplifiers, possible analog-to-digital converters and analog/digital processors. The presence of antimicrobial agents results in bacteria cell wall permeabilization and the release of intracellular ions into the environment.
- the integrated ISFET and possible additional ion-selective membranes integrated with ISFET reading circuits, amplifiers, and analog-to-digital converters detect the presence of the released ions in the sample.
- the processor is electrically connected to the system to analyze the signal and provide the output reading.
- the antibacterial agent includes at least one bacteriophage, at least one phage ghost, at least one phage tail-like bacteriocin (PTLB), at least one antimicrobial peptide, at least one bacteriophage lytic enzyme, at least one bacterial lytic enzyme, at least one antibiotic, bactericidal antibiotic, or combinations thereof.
- PTLB phage tail-like bacteriocin
- the permeabilization of the cell wall is permanent, while in other embodiments the permeabilization is transient.
- the system comprising the ISFET, ISFET reading circuits, amplifiers, possible analog-to-digital converters and analog/digital processors are implemented to identify the efficacy of the antibiotic on the unknown sample containing possible bacteria.
- the bactericidal antibiotics if effective on the sample results in ion efflux from sensitive bacteria cells that can be detected by the system.
- the ISFET and supporting circuitry and processors are all integrated in a conventional integrated circuit fabrication processes like a CMOS fabrication process.
- an external reference electrode defines the voltage of the sample liquid.
- the reference electrode can is integrated on the same substrate as the ISFET, reading circuitry and processors.
- the system comprises of differential and/or pseudo-differential ISFETs and ISFET circuitry and a metal as the reference electrode for complete integration.
- the ion-selective membrane is deposited on one ISFET and the ion-insensitive membrane or no membrane is deposited on another ISFET in the differential/pseudo-differential pair.
- Both ISFETs are connected to their respective circuitry.
- both outputs are connected to difference amplifiers to measure the difference between the signals. This configuration makes the system completely integrated without use of external reference electrodes or non-standard integration of reference electrodes. It also helps with common-mode noise and compensation for circuit and system non-idealities.
- the ISFETs are made using different ion-selective membranes on their electrodes to detect different ion-concentrations released due to cell wall permeabilization.
- the processor comprises calibration circuitry on the same substrate as the ISFET to compensate for circuit and system non-idealities like mismatch and drift.
- calibration of the ISFET non-idealities like DC mismatch and drift is performed by applying the sample containing possible bacteria in the first short time interval, recording the output DC and drift and other non-idealities. In the next interval the antimicrobial detection elements are added to the system.
- the calibration unit in the processor easily records the non-idealities in the first time interval and compensates for them in the second time interval.
- a reference solution is applied to the system first for calibration.
- optimal detection and estimation algorithms can be implemented inside the processor.
- the detection and estimation algorithms may utilize estimation of the slope of ISFET output voltage over time.
- an array of ISFETs with different electrode sizes and possibly different ion-selective membranes are all integrated on the same substrate to detect different ion effluxes in the sample.
- the antimicrobial detection agents can be immobilized on ISFETs to detect different bacteria species in the sample.
- the array of the ISFETs can be integrated on the same substrate with their respective reading circuitry, amplifiers and processors.
- an array of ISFETs with different electrodes having one or multiple bacterial strains are immobilized on top of the electrodes to test the efficacy of antimicrobial agents like bactericidal antibiotics on a sample.
- the substrate comprises a first substrate and a second substrate and the at least one electrode are integrated on the first substrate and the ISFET and ISFET reading circuits and amplifier are integrated on the second substrate.
- the processor is integrated on the second substrate.
- the substrate comprises a first substrate and a second substrate and a third substrate. At least one electrode is integrated on the first substrate and the ISFET reading circuitry and analog blocks are integrated on the second substrate and digital processors and other digital circuits are integrated on the third substrate.
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Organic Chemistry (AREA)
- Molecular Biology (AREA)
- Engineering & Computer Science (AREA)
- Immunology (AREA)
- Zoology (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Biochemistry (AREA)
- Wood Science & Technology (AREA)
- Genetics & Genomics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Microbiology (AREA)
- Biotechnology (AREA)
- Pathology (AREA)
- Biophysics (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Physics & Mathematics (AREA)
- Virology (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
Abstract
Disclosed are methods and systems for the detection of bacteria in a sample. The methods comprises contacting the sample with an antibacterial agent and a bacteria identification sensor, and involves the permeabilization of the bacteria by the antibacterial agent, and the subsequent detection of an efflux of potassium ions using a bacteria identification sensor comprising a potassium-sensitive ISFET. Also disclosed are bacteria identification sensor comprising a potassium-sensitive ISFET useful in the practice of the disclosed methods.
Description
- This application claims priority to provisional Application No. 61/729,411 having a filing date of Nov. 22, 2012, which is incorporated herein by reference in its entirety.
- This application also incorporates herein by reference in their entirety the following applications: Provisional Application No. 61/878,021, filed on Sep. 15, 2013 and Provisional Application No. 61/749,368, filed on Jan. 6, 2013.
- [Not Applicable]
- [Not Applicable]
- There is increasing demand for systems that detect bacteria with good selectivity and sensitivity, in applications ranging from medical diagnosis to water and food inspection. Traditional culturing methods take several hours to days to give results. They require trained personnel to perform the tests as well as expensive laboratory equipment. Techniques using DNA amplification and detection, such as those employing the polymerase chain reaction (PCR), provide results over several hours.
- DNA-based detection approaches offer the potential for miniaturization and have been integrated on silicon chips. The disadvantages of these methods are laborious sample preparation. More importantly, these methods primarily do not distinguish between living and dead bacterial cells.
- Further limitations and disadvantages of conventional and traditional approaches will become apparent to one of skill in the art, through comparison of such approaches with some aspects of the present method and apparatus set forth in the remainder of this disclosure with reference to the drawings.
- A system and/or method for an integrated sensor for the rapid sensing of bacteria using ion-sensitive field effect transistors (ISFETS), substantially as shown in and/or described in connection with at least one of the figures, as set forth more completely in the claims.
- Various advantages, aspects and novel features of the present invention, as well as details of an illustrated embodiment thereof, will be more fully understood from the following description and drawings.
-
FIG. 1 illustrates four building blocks of the bacterial sensor system, in accordance with an example embodiment of the disclosure. -
FIG. 2 illustrates a bacteriophage and its interaction with a target bacteria cell, in accordance with an example embodiment of the disclosure. -
FIG. 3 shows a block diagram of a potassium-sensitive system on chip, in accordance with an example embodiment of the disclosure. -
FIG. 4 illustrates the structure of valinomycin with a potassium ion held inside the cylinder, in accordance with an example embodiment of the disclosure. -
FIG. 5 is a diagram of an ion sensitive field effect transistor bias and readout circuit, in accordance with an example embodiment of the disclosure. -
FIG. 6 is a photograph of a die comprising ion sensitive field effect transistors and associated readout circuitry, in accordance with an example embodiment of the disclosure. -
FIG. 7 shows the block diagram of an experimental setup for sensing the presence of bacteria cells, in accordance with an example embodiment of the disclosure. -
FIG. 8 shows experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure. -
FIG. 9 illustrates a differential ion sensitive field effect transistor circuit, in accordance with an example embodiment of the disclosure. -
FIG. 10 shows additional experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure. -
FIG. 11 shows additional experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure. -
FIG. 12 shows additional experimental results of both positive and negative control experiments using the bacteria sensing system, in accordance with an example embodiment of the disclosure. -
FIGS. 13A-13C illustrate applications for ISFET-based bacteria sensors, in accordance with an example embodiment of the disclosure. - The present disclosure includes a bacteria identification sensor integrated in CMOS using bacteriophages (phages) as biological sensing elements combined with ion-selective FETs (ISFET) implemented in conventional CMOS technology to accurately detect specific strains of living bacteria in shorter times, for example less than 30 minutes. The present technology employs sensitive low-noise electronic circuits combined with biological sensing elements (e.g., bacteriophages) to provides, among other things, a simple low-cost platform for the detection of bacteria, and the specificity required to sense different strains of living bacterial cells accurately. Other antimicrobial agents that result in bacteria cell wall permeabilization can be used instead of phages. The present technology can be used to test the effectiveness of antibacterial agents in samples. Traditionally, ISFETs in conventional processes are not used for ion concentration measurements because of non-idealities like drift. The presented system shows that they can be effectively used in applications like bacteria detection.
- The bacterial sensor system, or bacteria identification sensor, is generally comprised of four building blocks as detailed in
FIG. 1 . The biological transducer generates the detectable signal in the electrical transducer. It consists of the test sample plus phages specific to a particular bacterial cell. The output signals from this block are the released potassium ions in the sample that need to be converted into an electrical signal using the electrical transducer (ISFET) block. The analog circuitry that reads the signal from the electrical transducer is the analog front-end whose output is then converted to a digital representation by an analog-to-digital converter. The digital output is transferred to a PC or a microprocessor and is further processed, stored and/or visualized. - In some embodiments, integrated sensor may be fabricated using a silicon-based implementation. In addition, in some embodiments, standard CMOS technology may be used. In an example scenario, some or all of the various blocks shown in
FIG. 1 may be integrated on a CMOS chip. For example, along with the potassium-sensitive ISFET, the readout circuitry, analog-to-digital converter (ADC), and associated processing circuitry may also be integrated on chip, and coupled by wire or wirelessly to external devices, such as a computer or other test equipment. - In some embodiments, integrated sensor may be fabricated in a substrate selected from the group consisting of silicon, plastic, polymer, glass, sapphire, quartz, carbon, silica, silicon carbide, zinc oxide, magnesium oxide, manganese oxide, germanium, gallium nitride, gallium arsenide, gallium phosphide, indium phosphide, polysilicon, n-type diffusion semiconductor material, and p-type diffusion semiconductor material.
- In some embodiments, some or all of the various blocks shown in
FIG. 1 may be integrated using combinations of CNTs, FETs, JFETs, MOSFETs, OSFETs, FinFETs, bipolar transistors, amorphous silicon TFTs, plastic transistors and organic transistors. - Generally, detection of specific strains of bacterial cells can be achieved using bacteriophages that infect that strain. The interaction between the phage tail fibers and receptors on the bacterial cell surface results in attachment of the phage to the bacterial cell. After phage attachment, the cell membrane goes through a depolarization phase and becomes permeable to specific ions especially potassium ions. Phage DNA is transferred from the head part of the phage to inside the cell. Following this phase there is an efflux of ions from inside the cell to the media outside the cell as shown in
FIG. 2 . Potassium ions are the dominant ions inside the cell that flow to the outside sample as a result of phage infection. This transient efflux of K+ is used as the signal to be detected in an electrical transducer using potassium sensitive ISFETs. - Examples of bacteria that may be detected using methods and devices according to the present invention include both Gram-positive and Gram-negative bacteria such as members of the genera Acinetobacter, Burkholderia, Escherichi, Legionella, Borrelia, Helicobacter, Parachlamydia, Bacteroides, Coxiella, Ehrlichia, Pasteurella, Porphyromonas, and Rickettsia, Enterobacter, Salmonella, Staphylococcus, Shigella, Listeria, Aerobacter, Klebsiella, Proteus, Pseudomonas, Streptococcus, Chlamydia, Mycoplasma, Pneumococcus, Neisseria, Clostridium, Bacillus, Corynebacterium, Mycobacterium, Campylobacter, Vibrio, Serratia, Providencia, Chromobacterium, Brucella, Yersinia, Haemophilus and Bordetella
- Examples of bacteriophage that may be used in the practice of the present invention include libraries of Siphoviridae, Myoviridae, and Podoviridae, including those available in the American Type Culture Collection (ATCC) and those isolated from relevant bacterial strains. Phages engineered for both broad and narrow host ranges by swapping, fusing, or otherwise manipulating the host-specificity determinants encoded in the tail proteins. Other examples include S. mutans phages, Bacillus phage PHI.29, Actinomyces phages, bacteriophage M102, bacteriophage e10, bacteriophage f1, bacteriophage lamda., bacteriophage PI, spherical phage PhiX174, spherical phage G4, spherical phage S13, bacteriophage T1, bacteriophage T2, bacteriophage T3, bacteriophage T4, bacteriophage T5, bacteriophage T6, bacteriophage T7, ssRNA bacteriophages MS2, ssRNA bacteriophages R17, ssRNA bacteriophages f2, and ssRNA bacteriophages Q beta. Phage libraries are available in collections of the American Type Culture Collection (ATCC).
- In various embodiments phage tail-like bacteriocins (PTLB), ghost phages, antimicrobial peptide, bacterial lytic enzymes, bacteriophage lytic enzyme and antibiotics can be used instead of phages to generate an efflux of ions. Phage ghosts are the viral protein shell from which the genome has been extracted. Examples of phage ghosts include those prepared from the Siphoviridae, Myoviridae, and Podoviridae families. Examples of bacteriophage lytic enzymes include various bacteriocins. bacteriophage lytic enzymes include lytic agents produced by bacteriophages infecting Gram-positive and Gram-negative bacteria.
- Examples of lytic enzymes (bacterial and bacteriophage based) can be found in databases of curated bacteriocins and lysins (e.g., BAGEL2, BACTIBASE, phiBIOTICS, EnzyBase). Examples of bacteriocins include acidocin, actagardine, agrocin, alveicin, aureocin, aureocin A53, aureocin A70, carnocin, carnocyclin, colicin, curvaticin, divercin, duramycin, enterocin, enterolysin, epidermin/gallidermin, erwiniocin, glycinecin, halocin, haloduracin, Lactocin S, lysostaphin, lactococin, lacticin, leucoccin, macedocin, mersacidin, mesentericin, microbisporicin, Microcin S, mutacin, nisin, paenibacillin, planosporicin, pediocin, pentocin, plantaricin, pyocin, reutericin, sakacin, salivaricin, subtilin, sulfolobicin, thuricin 17, trifolitoxin, variacin, vibriocin, warnericin, warnerin.
- Phage tail-like bacteriocins (PTLBs or Tailocins) are high molecular weight bacteriocins that are evolutionarily related to phage tails. Examples include R- and F-pyocins, Diffocin, Enterocoliticin, and Carotovoracin.
- Bacteriocidal antibiotics include, for example, Polymyxins, Colistins, Gramicidins, Neomycin, Vancomycin, Daptomycin, Telavancin, DCAP and HT61.
- The outputs of the biological transducer are the potassium ions. For example, the level of potassium build-up after the addition of bacteriophage to a sample is proportional to the concentration of the present infected bacterial cells. CMOS-based ISFETs are the ideal transducers for sensing a specific ion in the sample. They offer rapid response time, small size and can be integrated along with other required readout and signal processing circuitry on the same integrated circuit or chip; hence low noise and small form-factor systems can be implemented with multiple measurement channels.
-
FIG. 3 is a block diagram of a potassium-sensitive system on chip, in accordance with an example embodiment of the disclosure. Referring toFIG. 3 , there is shown achip 300 comprising p-channel metal-oxide semiconductor (PMOS) transistors, such as thePMOS transistor 301, integrated on thechip 300, with its gate connected through vias and multiple levels of metal, such as the metal layers 1-6, to the top metal layer, theM6 electrode 315. In an example scenario, thePMOS transistor 301 may have a width/length ratio of 400/1. In an example scenario, thePMOS transistor 301 maybe substituted (with appropriate circuit modifications) by an NMOS transistor. In an example scenario, NMOS or PMOS transistor may have other width/length ratios. - The
PMOS transistor 301 may be formed in thesubstrate 301, which may comprise a silicon CMOS wafer or a silicon-on-insulator (SOI) wafer, for example. Metal and insulating layers such as the 313A and 313B andmetal layers passivation layer 317, respectively may be formed on top of the CMOS transistors, such as thePMOS transistor 301, on thesubstrate 303, for connecting the devices to external contacts, such as theM6 electrode 315, which may comprise a 20×20 um pad, for example. - In an example scenario, the
passivation layer 317 on top of the top metal,M6 electrode 315, may comprise a mixture of SiO2 and Si3N4, for example, which may be suitable for pH sensors (H+ ions). In order to achieve the desired potassium sensitivity (e.g., K+ ions), a potassiumsensitive membrane 319 may be prepared and deposited on top of thechip 300. - In an example scenario there may be no passivation layer and only a top metal layer (e.g. M6 electrode 315). In order to achieve the desired potassium sensitivity (e.g., K+ ions), a potassium
sensitive membrane 319 may be prepared and deposited on top of thechip 300 directly touching thetop Metal electrode 315. - In an example scenario there maybe one or several intermediate layers deposited on top metal layer (e.g. M6 electrode 315). In order to achieve the desired potassium sensitivity (e.g., K+ ions), a potassium
sensitive membrane 319 may be prepared and deposited on top of the intermediate layers other than passivation layer. - In an example scenario, the
passivation layer 319 or some intermediate layer on top metal (e.g. M6 electrode 315) can be made potassium sensitive by methods other than deposition. - The
encapsulation layer 321 may comprise an epoxy encapsulant, or parylene or other suitable material, for protecting portions of thechip 300, while not covering portions to be used in sensing ions, such as thepotassium sensing membrane 319. The material for theencapsulation layer 321 may be chosen based on what chemical compounds it will be exposed to in operation. - While a single CMOS transistor and potassium-sensitive membrane are shown in
FIG. 3 , any number of transistors and membranes may be integrated on thechip 300. For example, multiple transistors, each with different ion-sensitive membranes may be integrated, providing sensitivity to multiple types of bacteria or ions. Similarly, different size membranes may be coupled to CMOS transistors for possible concentration measurements. - Furthermore, CMOS transistors may be coupled in a differential configuration with one coupled to a ion-sensitive membrane and another to an ion-insensitive membrane, as shown in
FIG. 9 . In an example scenario, both outputs may be connected to difference amplifiers to measure the difference between the signals. This configuration makes the system completely integrated without the use of external reference electrodes or non-standard integration of reference electrodes and also improves common-mode noise and compensation for circuit and system non-idealities. - In an example scenario, the potassium-
sensitive membrane 319 may comprise a macrocyclic substance from a group of depsipeptides, such as valinomycin, as the ion-exchanger. This antibiotic forms complexes with alkali metal ions and is highly selective to potassium K+ ions, and is a member of group of natural neutral ionophores. -
FIG. 4 shows the structure of the valinomycin, where the potassium ion is held inside the cylinder that fits the size of K+ ion. The ion-exchanger is dissolved in an organic solvent like tetrahydrofuran (THF) along with polyvinylchloride (PVC) and plastizer dioctylphthalate that together build a porous membrane to hold the valinoymicin inside the membrane structure. - In order to enhance the attachment of the membrane to the chip surface, surface cleaning, drying and silanization may be performed as follows. The encapsulated chip may be cleaned using acetone and isopropanol and then deionized water. The chip may be dried using nitrogen gas and placed in an oven at 110 C. After further drying at room temperature, a small droplet of Microprimer P20 (ShinEtsu MicroSi) may be deposited on the surface of the chip as an adhesion promoter under the fumehood. After drying of the promoter, droplets of the membrane solution may be dispensed on top of the
electrodes 2 to 3 times with 5-minute intervals in between applications to create a smooth membrane layer with a thickness in the range of 100 to 300 μm without any pinholes. The membrane may be left to dry (at room temperature) for several hours. This process results in a K+ sensitive ISFET as the electrical transducer. -
FIG. 5 is a diagram of an ion sensitive field effect transistor bias and readout circuit, in accordance with an example embodiment of the disclosure. Referring toFIG. 5 , there is shownISFET circuit 500 comprising a drain-source follower arrangement used to read the ISFET threshold variations. TheISFET 505 may comprise a PMOS FET with ion sensitive membrane, as described with respect toFIG. 3 . -
ISFET circuit 500 comprises current sources for controlling the bias conditions for theISFET 505, which may be in contact with asample 510. For example,current source ID 509 may be operable to control the bias current of theISFET 505. The inset to the right inFIG. 5 is a schematic of thecurrent source ID 509, comprising an operational amplifier (op amp)A3 511, a feedback resistor RF, feedback capacitor C, a variable load resistor RL, and acurrent source I2 513. In an example scenario, the load resistor RL may have a resistance that is a multiple N times the resistor R1. - In addition, the
op amps A1 501 andA2 503 may be operable to control the drain-source voltage (VDS) of theISFET 505. In this example scenario, with the outputs of the 501 and 503 tied to the inverting inputs, the op amps act to keep the voltage difference between their inputs at zero, so that the output tracks with the non-inverting inputs. Thus, by adjusting theop amps current source I1 507, the outputs of the 501 and 503 essentially define the source and drain voltages, i.e., VDS.op amps - In operation, both VDS and drain current (ID) of the ISFET may be fixed to 0.5 volts and 100 μA, respectively. A fixed DC voltage (VG) may be applied to the solution being in contact with the
ISFET 505 using a reference electrode in the solution. The source voltage (VS) of the ISFET may be measured using a readout circuit, which may be integrated on the chip comprising theISFET 505 or may be external to the chip. - The gate source voltage, VGS, of the
PMOS ISFET 505 may be defined by the process parameters of the transistor when a fixed drain-source voltage, VDS, and drain current ID are applied. The changes in the threshold voltage of theISFET 505, because of K+ concentration variations placing a charge on the gate terminal of theISFET 505, may be reflected in the source voltage, VS. As the concentration of K+ increases, VS may also increase. For testing purposes, both current ID and VDS of theISFET 505 may be variable to enable complete ID-VDS characterization curves. -
FIG. 6 is a photograph of a die comprising ion sensitive field effect transistors and associated readout circuitry, in accordance with an example embodiment of the disclosure. Referring toFIG. 6 , there is shown anISFET system 600 implemented in a standard 0.18 μm CMOS technology. The implemented 0.18 μm CMOS chip die photo is shown inFIG. 6 . This chip contains several measurement channels with different sized electrodes as well as other test circuitry. Outputs of the ISFET readout circuits were converted to a digital representation and transferred to a PC using a data acquisition board and visualized real-time using lab system monitoring software. However, since the ISFETS may be integrated in conventional CMOS circuits, much of the processing and readout circuitry may be integrated on the sensor chip, as opposed to external boards and systems. For example, ultra-low power analog-to-digital converters (ADCs) may be integrated on-chip. - In the following examples, the chip or chips may be encapsulated to isolate the bond wires from the sample, leaving only the electrodes exposed.
- The Examples that follow are intended to be illustrative of the aspects and embodiments described above. Neither the above disclosure nor the Examples below should be viewed as limiting to the scope of the appended claims. One of skill in the art will appreciate that the disclosure is not limited by the particular terminology which is used to describe and illustrate the various aspects of the disclosure.
- Live bacterial cells and phages were used on the chip in demonstration of the
ISFET system 600. Before starting the experiments, the chips may be cleaned and potassium-sensitive ISFET chips prepared as explained in the previous sections. - The measurements were done using two strains of like E.coli K-12 bacterial cells. The positive control experiments were performed using E.coli K-12 BL21 (DE-Δtail), called BL21 here for simplicity, which are sensitive to phage T6. The negative control experiments were performed using bacterial cells E.coli K-12 BW25113 with TSX−, called TSX− here, which are insensitive to phage T6. The phages used throughout the experiments were T6 phages.
- Bacterial cultures were prepared overnight using frozen cultures inoculated in luria broth (LB) growth media. The overnight cultures were then inoculated to make fresh samples to be used the same day. The growth of the cells was monitored using a spectrophotometer that read the optical density (OD) of the samples compared to a blank LB sample. For both experiments, cultures were used as their OD reached 1.2, which translates to a cell concentration of approximately 109 cfu/ml. After growth, the bacteria were washed and resuspended twice in a clean media without potassium where they would remain alive without replication.
- The T6 phages were prepared beforehand and can be stored at 4° C. for several months without any drop in their concentration (i.e. titer). The concentration of phages used in the experiments was 8×1010 pfu/ml.
- Because ISFETs are sensitive to light, measurements were performed inside a dark chamber. The cells and bacteriophage were transferred to the top surface of the chip via tubes connected to their respective syringes outside the dark chamber. The syringes were manipulated manually for transfer and mixing of the cells and phages.
FIG. 7 shows the block diagram of the setup. - Two sets of experiments were performed using BL21 and TSX− cells, respectively. A positive control experiment was performed by mixing the BL21 cells with T6 phages. BL21 cells are sensitive to T6 phage and infection and release of potassium will proceed after mixture. A negative control experiment was performed by mixing the TSX− cells with T6 phages. TSX− cells are insensitive to T6 phages; hence no infection and no potassium release is expected. At the beginning of each experiment, 0.5 ml of the bacterial cells (BL21 for positive control and TSX− for negative control) were transferred to the ISFET chip surface and the measurement started. ISFET outputs were recorded for 5 minutes without addition of the phages. This step can help identify the ISFET drift and obtain a DC baseline in the measurements. After 5 minutes, 204, of T6 phages were added to the sample and mixed thoroughly for 1 minute. The mixture was left on the chip for 30 minutes. Data was continuously recorded from the start of the measurement, through the mixing phase and also after mixing until the end of the experiment. The results shown in
FIG. 8 were processed in Matlab with a 0.3 Hz low-pass filter. The results show ΔV changes to remove any DC baseline differences between the experiments. ISFETs are known to have inferior drift and hysteresis problems compared to ISE counterparts. In this detection scheme, since the potassium level changes are measured before and after the addition of the phages, drift or hysteresis and threshold voltage variations between ISFETs do not interfere with results and can be disregarded or post processed from the measurement data. Here the DC baseline has been removed, but drift is present and shown inFIG. 8 . -
FIG. 8 shows the results of both positive and negative control experiments. As shown, the output increases as a result of the efflux of potassium ions from the live infected cells in the positive control test. In the negative control experiment, the output continues to have the downward ISFET drift similar to that present before the addition of the phages. - The results indicate that the integrated potassium-sensitive chip can detect the presence of a specific E.coli strain BL21 using the bacteriophage T6. The designed sensor system can tolerate the non-idealities present in ISFET integrated circuits like drift, hysteresis and threshold variations without affecting the results. Simple signal processing circuitry can be added to enhance analysis and visualization. Post-processing circuitry can readily be integrated on-chip to indicate the detection of the target bacteria (present/not-present) in less than 30 minutes. Inspection of the measured results confirm that the detector outcome can accurately be determined within the first 10 minutes after mixing the bacteria and phage.
- An integrated ISFET chip provides an integrated lab-on-chip solution for the rapid identification of live bacteria. It combines the specificity of phages, as well as other appropriate antibacterial agents, as the biological detecting elements and the sensitivity afforded by ISFET and CMOS circuitry implemented in conventional CMOS technology whose electrodes are post-processed with a potassium-sensitive membrane. The implemented system along with measurement results show that the system can be exploited to achieve a low-cost, portable bacterial identification system. Non-idealities such as drift in ISFETs have no material effect on the integrity of collected data affording a detection time of less than 30 minutes.
- In addition, further steps may be taken to integrate the system further and make it more portable. For example, in some embodiments, a micro-fluidic package may be added to transport the bacteria sample to the electrodes. More specifically, in some embodiments, micro-fluidic channels could be used to guide fluid to the measurement site that contains the electrodes. The use of such channels can prevent the liquid from spilling out into areas other than the test site and from contaminating the environment outside of the chip. This may be particularly advantageous when the fluid sample may contain dangerous bacteria.
- Although the description above focused on the use of a particular phage and bacterium, it is not intended to exclude the use of other phages or bacteria. For example, lambda cI857Sam7 phage can be combined with E.coli w3110 ΔfhuA as the positive control, and lambda cI857Sam7 phage can be combined E.coli w3110 ΔlamB as the negative control. Moreover, it is not intended to exclude other appropriate antibacterial agents that may kill, destroy or incapacitate bacteria by, for example, attacking their cell walls. Appropriate antibacterial agents may include, but are not limited to, phage ghosts, phage tail-like bacteriocins (PTLBs), antimicrobial peptides, bacteriophage lytic enzymes, and bactericidal antibiotics.
- Phage ghosts are bacteriophage particles that are lacking nucleic acid. These particles have the ability to depolarize the cell membrane and cause leakage of ions out of the cell. Phage ghosts may potentially be generated from any phage particle by knocking the DNA out of the head by, for example, but not limited to treating with EDTA.
- Antimicrobial peptides are short proteins that are naturally produced or chemically synthesized and exhibit a range of activities, including solubilization of the bacterial cell membrane. They are useful against Gram-positive and Gram-negative bacteria.
- Each chip may be prepared prior to testing a sample of bacteria by applying an appropriate antibacterial agent to the testing site (electrodes of the ISFETs). For example, but not limited to, the antibacterial agents mentioned above may be applied and/or immobilized to the electrodes.
- Sensor according to the present invention can be used at clinics or hospitals in order to quickly determine the effectiveness of a particular antibacterial agent in killing a bacterium causing an infection in a patient. Alternatively, the sensor can be used at clinics or hospitals in order to quickly identify the type of bacterium or bacteria causing infections in a patient. In either case, the healthcare professional(s) can quickly (on site) identify a specific and targeted treatment for the infection, in a much faster time frame as compared to sending a sample to a laboratory for analysis. Once this determination has been made, a very specific antibiotic could be selected instead of a broad-spectrum antibiotic, which may cause other bacteria to be killed. For example, in the case of an infection in a patient's gastrointestinal tract, it may be desirable to treat the patient with a very specific and targeted antibiotic as opposed to a broad-spectrum antibiotic in order to avoid killing bacteria that are beneficial to the health of the patient.
-
FIG. 9 illustrates a differential ion sensitive field effect transistor circuit, in accordance with an example embodiment of the disclosure. Referring toFIG. 9 , there is shown asingle ISFET 901, similar to the ISFET shown inFIG. 3 , and a differential ISFET configuration comprising theISFET 903, acommon electrode 905, an ion-insensitive FET (IISFET) 907, and adifferential input amplifier 909. - The
ISFET 903 may be substantially similar to the previously described ISFETS with a potassiumsensitive membrane 917, while theIISFET 907 may comprise a potassium ioninsensitive membrane 913, making it an ion in-sensitive FET, or IISFET. The CMOS transistor portions of theISFET 903 and theIISFET 907 may be essentially identical due to the uniformity provided by adjacent devices fabricated in a CMOS process. - The
M6 pad 915 may comprise an external connection, via a wire bond, for example, to thecommon electrode 905, which may replace the external reference electrode for the sample being measured by applying a gate voltage, as illustrated by the voltage VG inFIG. 3 . - By utilizing the
ISFET 903 with theIISFET 907, where the CMOS transistors are in close proximity and the devices are nearly identical, any measurement changes due to drift or non-linearity may be canceled due to the differential configuration. In addition, thecommon electrode 905 eliminates the need for a separate electrode for each ISFET in an array. The difference between the two signals may then be amplified by thedifferential amplifier 909, where the output signal may be read from thedifferential ISFET output 911. - In addition, arrays of ISFET/IISFET differential pairs may be integrated on chip with varying sizes of M6 pads as well as different ion-sensitive membranes, enabling the sensing of a variety of bacteria and even the concentration of the bacteria.
- This example demonstrates that bacteriocins can be used to detect the presence of a bacterium in a sample using methods and devices according to the present disclosure. In this example, the bacteriocin Colicin A9 was combined with E.coli K12 BW25113 as the positive control. As negative controls, Colicin A9 was combined with Staphylococcus aureus 8325, and Colicin A9 was combined with Pseudomonas aeruginosa (PA01). Experiments were performed as described above for Example 1, using the
ISFET system 600. -
FIG. 10 shows the results of both positive and negative control experiments. As indicated, the integrated potassium-sensitive chip can detect the presence of the specific E.coli strain K12 BW25113 using the bacteriocin Colicin A9. As shown, the output increases as a result of the efflux of potassium ions from cells in the positive control test, as compared to the negative controls. - Other contemplated examples of colicins that can be used instead of Colicin A9 above are Colicin K, Colicin E1, or Colicin B.
- This example demonstrates that lysostaphin can be used to detect the presence of a bacterium in a sample using methods and devices according to the present disclosure. In this example, the lysostaphin from Staphylococcus simulans was combined with Staphylococcus aureus 8325 as the positive control. As negative controls, lysostaphin from Staphylococcus simulans was combined with E.coli K12 BW25113, and lysostaphin from Staphylococcus simulans was combined with Pseudomonas aeruginosa (PA01).
-
FIG. 11 shows the results of both positive and negative control experiments. As indicated, the integrated potassium-sensitive chip can detect the presence of the specific bacterial strain Staphylococcus aureus 8325 using the lysostaphin from Staphylococcus simulans. As shown, the output increases as a result of the efflux of potassium ions from cells in the positive control test, as compared to the negative controls. - This example demonstrates that antibiotics can be used to detect the presence of a bacterium in a sample using methods and devices according to the present disclosure. In this example, the Polymyxin B antibiotic (PMB) was combined with E.coli K12 BW25113 in SM buffer as the positive control. As the negative control, Polymyxin B antibiotic (PMB) combined with E.coli K12 BL21 (DE3-Δtail) (referred to as BL21) in SM buffer. Experiments were performed as described above for Example 1, using the
ISFET system 600. -
FIG. 12 shows the results of both positive and negative control experiments. As indicated, the integrated potassium-sensitive chip can detect the presence of the specific bacterial strain E.coli K12 using the Polymyxin B antibiotic (PMB). As shown, the output increases as a result of the efflux of potassium ions from cells in the positive control test, as compared to the negative control. -
FIGS. 13A-13C illustrate applications for ISFET-based bacteria sensors, in accordance with an example embodiment of the disclosure. Referring toFIG. 13A , there is shown aCMOS ISFET sensor 1301 placed in a sample container, which may comprise a microcentrifuge tube, for example, although other sample container types may be utilized. TheCMOS ISFET sensor 1301 may be encapsulated entirely except for sensor surfaces, and when placed in a sample container, may be exposed to the sample for measurement. -
FIG. 13B illustrates a wireless power transfer from a reader to a CMOS sensor in contact with analyte. In addition, data may be transferred between (to and/or from) theCMOS ISFET sensor 1301 and the reader utilizing the same wireless power link or an auxiliary near-field wireless link - In addition, a
sample sensor array 1305, shown inFIG. 13C , may comprise CMOS ISFET sensors placed in an array of sample containers, with wireless data transfer to a circuit board withsensor readout circuitry 1307, thereby enabling the simultaneous testing of a plurality of samples, for example. In the example shown inFIG. 13C , four microcentrifuge tubes may be placed in a tube rack with wireless coupling to thesensor readout circuitry 1307. - Accordingly, one aspect the present disclosure relates to a sensor for detecting the presence of different bacterial strains in a sample by detecting the permeabilization of the bacteria cell wall by one or more antibacterial agents. Another aspect the present invention relates to a sensor for determining or estimating the concentration of different bacterial strains in a sample by detecting the permeabilization of the bacteria cell wall by one or more antibacterial agents. In some embodiments, the sensor includes antimicrobial agents, integrated ISFETs, possible additional ion-selective membranes, ISFET reading circuits, amplifiers, possible analog-to-digital converters and analog/digital processors. The presence of antimicrobial agents results in bacteria cell wall permeabilization and the release of intracellular ions into the environment. The integrated ISFET and possible additional ion-selective membranes integrated with ISFET reading circuits, amplifiers, and analog-to-digital converters detect the presence of the released ions in the sample. In still further embodiments, the processor is electrically connected to the system to analyze the signal and provide the output reading.
- In some embodiments the antibacterial agent includes at least one bacteriophage, at least one phage ghost, at least one phage tail-like bacteriocin (PTLB), at least one antimicrobial peptide, at least one bacteriophage lytic enzyme, at least one bacterial lytic enzyme, at least one antibiotic, bactericidal antibiotic, or combinations thereof. In some embodiments the permeabilization of the cell wall is permanent, while in other embodiments the permeabilization is transient.
- In various embodiments of the disclosure, the system comprising the ISFET, ISFET reading circuits, amplifiers, possible analog-to-digital converters and analog/digital processors are implemented to identify the efficacy of the antibiotic on the unknown sample containing possible bacteria. The bactericidal antibiotics if effective on the sample results in ion efflux from sensitive bacteria cells that can be detected by the system.
- In various embodiments of the disclosure, the ISFET and supporting circuitry and processors are all integrated in a conventional integrated circuit fabrication processes like a CMOS fabrication process.
- In various embodiments of the disclosure, an external reference electrode defines the voltage of the sample liquid. In various other embodiments the reference electrode can is integrated on the same substrate as the ISFET, reading circuitry and processors.
- In various embodiments of the disclosure, the system comprises of differential and/or pseudo-differential ISFETs and ISFET circuitry and a metal as the reference electrode for complete integration. In some embodiments, the ion-selective membrane is deposited on one ISFET and the ion-insensitive membrane or no membrane is deposited on another ISFET in the differential/pseudo-differential pair. Both ISFETs are connected to their respective circuitry. In some embodiments of the disclosure both outputs are connected to difference amplifiers to measure the difference between the signals. This configuration makes the system completely integrated without use of external reference electrodes or non-standard integration of reference electrodes. It also helps with common-mode noise and compensation for circuit and system non-idealities.
- In various embodiments of the disclosure, the ISFETs are made using different ion-selective membranes on their electrodes to detect different ion-concentrations released due to cell wall permeabilization.
- In various embodiments of the disclosure, the processor comprises calibration circuitry on the same substrate as the ISFET to compensate for circuit and system non-idealities like mismatch and drift.
- In various embodiments of disclosure, calibration of the ISFET non-idealities like DC mismatch and drift is performed by applying the sample containing possible bacteria in the first short time interval, recording the output DC and drift and other non-idealities. In the next interval the antimicrobial detection elements are added to the system. The calibration unit in the processor easily records the non-idealities in the first time interval and compensates for them in the second time interval. In some embodiments, a reference solution is applied to the system first for calibration.
- In various embodiments of the disclosure, optimal detection and estimation algorithms can be implemented inside the processor.
- In various embodiments of the disclosure the detection and estimation algorithms may utilize estimation of the slope of ISFET output voltage over time.
- In some embodiments an array of ISFETs with different electrode sizes and possibly different ion-selective membranes are all integrated on the same substrate to detect different ion effluxes in the sample. The antimicrobial detection agents can be immobilized on ISFETs to detect different bacteria species in the sample. The array of the ISFETs can be integrated on the same substrate with their respective reading circuitry, amplifiers and processors.
- In some embodiments an array of ISFETs with different electrodes having one or multiple bacterial strains are immobilized on top of the electrodes to test the efficacy of antimicrobial agents like bactericidal antibiotics on a sample.
- In some embodiments the substrate comprises a first substrate and a second substrate and the at least one electrode are integrated on the first substrate and the ISFET and ISFET reading circuits and amplifier are integrated on the second substrate. In some embodiments, the processor is integrated on the second substrate. In various embodiments of the disclosure, the substrate comprises a first substrate and a second substrate and a third substrate. At least one electrode is integrated on the first substrate and the ISFET reading circuitry and analog blocks are integrated on the second substrate and digital processors and other digital circuits are integrated on the third substrate.
- While the disclosure addresses various embodiments, it is not intended that the disclosure be limited to such embodiments. On the contrary, the disclosure encompasses various alternatives, modifications, and equivalents, as will be appreciated by those of skill in the art.
Claims (27)
1. A method for detecting a bacterium in a sample, said method comprising contacting said sample with an antibacterial agent and a bacteria identification sensor.
2. The method of claim 1 wherein said antibacterial agent is a bacteriophage.
3. The method of claim 1 wherein said antibacterial agent is a bacteriophage tail-like bacteriocin.
4. The method of claim 1 wherein said antibacterial agent is a lytic enzyme.
5. The method of claim 1 wherein said antibacterial agent is a bacteriophage ghost.
6. The method of claim 1 wherein said antibacterial agent is an antibiotic.
7. The method of claim 1 wherein said bacteria identification sensor comprises an ion-sensitive field-effect transistor (ISFET).
8. The method of 7 wherein said ISFET is potassium-sensitive ISFET.
9. The method of claim 7 , wherein said ISFET is coupled in a drain source follower configuration.
10. The method of claim 7 , wherein said ISFET comprises a p-channel metal-oxide semiconductor (PMOS) transistor coupled to an electrode covered by a passivation layer, said passivation layer covered by a potassium-sensitive membrane.
11. The method of claim 1 , wherein said bacteria identification sensor comprises a first CMOS transistor with a potassium sensitive membrane and a second CMOS transistor with a potassium insensitive membrane.
12. The method of claim 11 , wherein said first and second CMOS transistors are integrated on a single chip and coupled in a differential arrangement.
13. The method of claim 11 , wherein gate terminals of said first and second CMOS transistors are coupled to a common electrode on said chip.
14. The method of claim 1 , wherein said bacteria identification sensor comprises an array of ISFETS.
15. A method for detecting a bacterium in a sample, said method comprising: the permeabilization of said bacterium by an antibacterial agent; and detecting the efflux of potassium ions using a bacteria identification sensor comprising a potassium-sensitive ISFET.
16. The method of claim 15 , wherein said antibacterial agent is a bacteriophage.
17. The method of claim 15 , wherein said antibacterial agent is a bacteriophage tail-like bacteriocin.
18. The method of claim 15 , wherein said antibacterial agent is a lytic enzyme.
19. The method of claim 15 , wherein said antibacterial agent is a bacteriophage ghost.
20. The method of claim 15 , wherein said antibacterial agent is an antibiotic.
21. The method of claim 15 , wherein said ISFET is coupled in a drain source follower configuration.
23. The method of claim 15 , wherein said ISFET comprises a p-channel metal-oxide semiconductor (PMOS) transistor coupled to an electrode covered by a passivation layer, said passivation layer covered by a potassium-sensitive membrane.
24. The method of claim 15 , wherein said bacteria identification sensor comprises a first CMOS transistor with a potassium sensitive membrane and a second CMOS transistor with a potassium insensitive membrane
25. The method of claim 24 , wherein said first and second CMOS transistors are integrated on a single chip and coupled in a differential arrangement.
26. The method of claim 24 , wherein gate terminals of said first and second CMOS transistors are coupled to a common electrode on said chip.
27. The method of claim 15 , wherein said bacteria identification sensor comprises an array of ISFETS.
28. A system for detecting bacteria, said system comprising:
a bacteria identification sensor on a chip, said bacteria identification sensor comprising:
a first complimentary metal-oxide semiconductor (CMOS) transistor with a potassium sensitive membrane coupled to a gate terminal of said first CMOS transistor;
a second CMOS transistor with a potassium insensitive membrane coupled to a gate terminal of said second CMOS transistor, wherein said first and second CMOS transistors are coupled in a differential configuration and coupled to a differential amplifier integrated on said chip.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US14/088,323 US20140141408A1 (en) | 2012-11-22 | 2013-11-22 | Integrated sensor for the rapid identification of bacteria using isfets |
| US15/901,645 US10753901B2 (en) | 2012-11-22 | 2018-02-21 | Integrated sensor for the rapid identification of bacteria using ISFETS |
| US16/932,337 US20210132001A1 (en) | 2012-11-22 | 2020-07-17 | Integrated sensor for the rapid identification of bacteria using isfets |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201261729411P | 2012-11-22 | 2012-11-22 | |
| US14/088,323 US20140141408A1 (en) | 2012-11-22 | 2013-11-22 | Integrated sensor for the rapid identification of bacteria using isfets |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| US201261729411P Continuation | 2012-11-22 | 2012-11-22 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| US15/901,645 Continuation US10753901B2 (en) | 2012-11-22 | 2018-02-21 | Integrated sensor for the rapid identification of bacteria using ISFETS |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| US20140141408A1 true US20140141408A1 (en) | 2014-05-22 |
Family
ID=50728281
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| US14/088,323 Abandoned US20140141408A1 (en) | 2012-11-22 | 2013-11-22 | Integrated sensor for the rapid identification of bacteria using isfets |
| US15/901,645 Expired - Fee Related US10753901B2 (en) | 2012-11-22 | 2018-02-21 | Integrated sensor for the rapid identification of bacteria using ISFETS |
| US16/932,337 Abandoned US20210132001A1 (en) | 2012-11-22 | 2020-07-17 | Integrated sensor for the rapid identification of bacteria using isfets |
Family Applications After (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| US15/901,645 Expired - Fee Related US10753901B2 (en) | 2012-11-22 | 2018-02-21 | Integrated sensor for the rapid identification of bacteria using ISFETS |
| US16/932,337 Abandoned US20210132001A1 (en) | 2012-11-22 | 2020-07-17 | Integrated sensor for the rapid identification of bacteria using isfets |
Country Status (2)
| Country | Link |
|---|---|
| US (3) | US20140141408A1 (en) |
| WO (1) | WO2014080292A2 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9671364B2 (en) | 2011-12-22 | 2017-06-06 | Becton, Dickinson And Company | Methods and apparatus for rapid detection of infectious microorganisms |
| JP2018151324A (en) * | 2017-03-14 | 2018-09-27 | 東芝テック株式会社 | Ion sensor chip |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3341464B1 (en) * | 2015-08-25 | 2024-05-08 | Avails Medical, Inc. | Devices, systems and methods for detecting viable microorganisms in a fluid sample |
| EP4397973A3 (en) | 2016-05-31 | 2024-09-04 | Avails Medical, Inc. | Devices, systems and methods to detect viable infectious agents in a fluid sample and susceptibility of infectious agents to anti-infectives |
| WO2018111234A1 (en) | 2016-12-13 | 2018-06-21 | Avails Medical, Inc. | DEVICES, SYSTEMS AND METHODS TO DETECT THE PRESENCE OF ß-LACTAM ANTIBIOTIC HYDROLYZING BACTERIA IN A SAMPLE |
| WO2019005296A1 (en) | 2017-06-27 | 2019-01-03 | Avails Medical, Inc. | Apparatus, systems, and methods for determining susceptibility of microorganisms to anti-infectives |
| CN111182971B (en) | 2017-10-03 | 2022-08-30 | 阿威尔斯医疗公司 | Devices, systems, and methods for determining the concentration of microorganisms and the sensitivity of microorganisms to anti-infective agents based on redox reactions |
| CA3085018A1 (en) | 2017-12-05 | 2019-06-13 | Avails Medical, Inc. | Systems and methods for preparing an output sample comprising a defined concentration of an infectious agent for downstream testing |
| CN109355221B (en) * | 2018-11-06 | 2020-09-08 | 山东省滨州畜牧兽医研究院 | Culture medium and method for preparing vibrio cholerae ghost through high-density fermentation |
| WO2020117650A1 (en) | 2018-12-03 | 2020-06-11 | Avails Medical, Inc. | Apparatus, systems, and methods for quantifying infectious agents |
| CA3097579A1 (en) | 2019-10-28 | 2021-04-28 | Op-Hygiene Ip Gmbh | Method of identifying biologic particles |
| CN113899802A (en) * | 2021-09-29 | 2022-01-07 | 上海天马微电子有限公司 | Readout circuit of field effect sensor, readout method and control circuit thereof |
| CN116784806A (en) * | 2023-07-28 | 2023-09-22 | 北京航空航天大学 | Single-chip integrated micro wireless PH detection device and system based on ISFET |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8349167B2 (en) * | 2006-12-14 | 2013-01-08 | Life Technologies Corporation | Methods and apparatus for detecting molecular interactions using FET arrays |
-
2013
- 2013-11-22 WO PCT/IB2013/003133 patent/WO2014080292A2/en not_active Ceased
- 2013-11-22 US US14/088,323 patent/US20140141408A1/en not_active Abandoned
-
2018
- 2018-02-21 US US15/901,645 patent/US10753901B2/en not_active Expired - Fee Related
-
2020
- 2020-07-17 US US16/932,337 patent/US20210132001A1/en not_active Abandoned
Non-Patent Citations (4)
| Title |
|---|
| Dreiseikelmann, Microbiological Reviews, 1994, 58(3):293-316. * |
| Kawakami et al., Fresenius Z Anal Chem, 1984, 318:349-351. * |
| Seo, Nano Scale Devices for Plasmonic Nanolithography and Rapid Sensing of Bacteria, Dissertation, December 2007. * |
| Wong et al., IEEE Transactions on Electron Devices, 1989, 36(3):479-487. * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9671364B2 (en) | 2011-12-22 | 2017-06-06 | Becton, Dickinson And Company | Methods and apparatus for rapid detection of infectious microorganisms |
| US9970896B2 (en) | 2011-12-22 | 2018-05-15 | Becton, Dickinson And Company | Methods and apparatus for rapid detection of infectious microorganisms |
| JP2018151324A (en) * | 2017-03-14 | 2018-09-27 | 東芝テック株式会社 | Ion sensor chip |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2014080292A3 (en) | 2014-10-30 |
| US20180284061A1 (en) | 2018-10-04 |
| US20210132001A1 (en) | 2021-05-06 |
| WO2014080292A2 (en) | 2014-05-30 |
| US10753901B2 (en) | 2020-08-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10753901B2 (en) | Integrated sensor for the rapid identification of bacteria using ISFETS | |
| Nikkhoo et al. | Rapid detection of E. coli bacteria using potassium-sensitive FETs in CMOS | |
| Farooq et al. | Bacterial biosensing: Recent advances in phage-based bioassays and biosensors | |
| Jiang et al. | A high-sensitivity potentiometric 65-nm CMOS ISFET sensor for rapid E. coli screening | |
| EP2619564B1 (en) | Matched pair transistor circuits | |
| CN108350408B (en) | Devices, systems and methods for detecting viable microorganisms in fluid samples | |
| Yang et al. | Detection of viable Salmonella using microelectrode-based capacitance measurement coupled with immunomagnetic separation | |
| ES2919859T3 (en) | Methods and apparatus for rapid detection of infectious microorganisms | |
| US8926812B2 (en) | Cell-based transparent sensor capable of real-time optical observation of cell behavior, method for manufacturing the same and multi-detection sensor chip using the same | |
| Nandakumar et al. | Proteomic analysis of endodontic infections by liquid chromatography–tandem mass spectrometry | |
| Cunha et al. | Rapid and multiplex detection of nosocomial pathogens on a phage‐based magnetoresistive lab‐on‐chip platform | |
| Xu et al. | All-electrical antibiotic susceptibility testing within 30 min using silicon nano transistors | |
| Xu et al. | Detection of Cronobacter species in powdered infant formula by probe-magnetic separation PCR | |
| Aldubyan et al. | Comparative outer membrane protein analysis of high and low-invasive strains of Cronobacter malonaticus | |
| US8759076B2 (en) | Method and apparatus for detecting an electric field fluctuation associated with the permeabilization of a bacterial cell wall | |
| Hsieh et al. | A proton-selective membrane (PSM)-deposited dual-gate ion-sensitive field-effect transistor (DG-ISFET) integrating a microchamber-embedded filter membrane for bacterial enrichment and antimicrobial susceptibility test | |
| Seo et al. | Patterning a nanowell sensor biochip for specific and rapid detection of bacteria | |
| Savas et al. | A novel smartphone-based nanozyme-enhanced electrochemical immunosensor for ultrasensitive direct detection of Staphylococcus aureus in milk and blood serum | |
| Lerner et al. | A carbon nanotube immunosensor for Salmonella | |
| Hu et al. | A high electron mobility transistor biosensor-based GaN for facile and sensitive detection of Staphylococcus aureus | |
| Khadgi et al. | Plasmid profiling of multidrug resistant Escherichia coli strains isolated from urinary tract infection patients | |
| Mishra et al. | Advances in rapid detection and antimicrobial susceptibility tests: a review | |
| US20230266267A1 (en) | SARS-CoV-2 BIOSENSOR UTILIZING A PHOSPHATASE REPORTER | |
| Yao et al. | CMOS capactive sensor system for bacteria detection using phage organisms | |
| CN102181525B (en) | Polyacrylamide gel chip for detection of Salmonella and its application |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |