[go: up one dir, main page]

CN106525826B - Molecular smart phone rapid test method based on color dominant wavelength and complementary color wavelength - Google Patents

Molecular smart phone rapid test method based on color dominant wavelength and complementary color wavelength Download PDF

Info

Publication number
CN106525826B
CN106525826B CN201610914030.2A CN201610914030A CN106525826B CN 106525826 B CN106525826 B CN 106525826B CN 201610914030 A CN201610914030 A CN 201610914030A CN 106525826 B CN106525826 B CN 106525826B
Authority
CN
China
Prior art keywords
color
wavelength
sample
detection
dominant wavelength
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.)
Active
Application number
CN201610914030.2A
Other languages
Chinese (zh)
Other versions
CN106525826A (en
Inventor
李晓春
于化忠
王晓元
张校亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Taiyuan University of Technology
Original Assignee
Taiyuan University of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Taiyuan University of Technology filed Critical Taiyuan University of Technology
Priority to CN201610914030.2A priority Critical patent/CN106525826B/en
Publication of CN106525826A publication Critical patent/CN106525826A/en
Application granted granted Critical
Publication of CN106525826B publication Critical patent/CN106525826B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/78Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour

Landscapes

  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Plasma & Fusion (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By The Use Of Chemical Reactions (AREA)

Abstract

一种基于颜色主波长和补色波长的分子智能手机速测方法,所述速测方法是用于能够生成显色产物的样品的制备用,于采集显色产物图片的装置,用于溶液颜色主波长和补色波长的智能手机检测程序,显示不同溶液对应的颜色主波长或者补色波长。本发明于比色分析的智能手机颜色主波长和补色波长的检测,实现生物化学分子的快速定量检测,具有操作简便,成本低廉,适用范围广,适用于广大用户等优点。

A molecular smart phone rapid measurement method based on color dominant wavelength and complementary color wavelength. Smartphone detection program of wavelength and complementary color wavelength, showing the color dominant wavelength or complementary color wavelength corresponding to different solutions. The invention is used for the detection of the color dominant wavelength and the complementary color wavelength of the smart phone for colorimetric analysis, realizes the rapid quantitative detection of biochemical molecules, has the advantages of simple operation, low cost, wide application range, and is suitable for a large number of users and the like.

Description

基于颜色主波长和补色波长的分子智能手机速测方法Molecular Smartphone Fast Measurement Method Based on Color Dominant Wavelength and Complementary Color Wavelength

技术领域technical field

本发明涉及一种比色分析的智能手机速测方法,具体地说,是一种将待测样品与显色剂混合后的显色产物溶液注入洁净透明的反应器皿中,然后将其置于LED面光源下用智能手机进行拍照,并通过智能手机检测程序计算待测溶液颜色的主波长或补色波长,实现对样品相关参数的定量检测方法。The invention relates to a smart phone quick measurement method for colorimetric analysis, in particular, a color-developing product solution obtained by mixing a sample to be tested and a color-developing agent is injected into a clean and transparent reaction vessel, and then placed in a clean and transparent reaction vessel. Taking pictures with a smartphone under the LED surface light source, and calculating the dominant wavelength or complementary wavelength of the color of the solution to be tested through the smartphone detection program, a quantitative detection method for sample-related parameters is realized.

背景技术Background technique

随着社会经济发展、科学进步和人民生活水平的提高,人们对生活饮用水的水质要求不断提高,因此,提出一种水质快速检测方法显得尤为重要。水质检测的指标包括很多,其中,生活饮用水主要考虑对人体健康的影响,其水质标准包括一些物理指标、化学指标和微生物指标。pH和亚硝酸盐的浓度是其中两个重要的指标,不同的指标有不同的标准,如要求水样的pH范围为6.5~8.5,亚硝酸盐的毒理学指标为1mg/L等等。检测水质指标有不同的检测方法。水中的微量成分主要以水质检测仪器来分析,其中主要包括色谱分析法,有气相色谱法、液相色谱法、高效液相色谱法、离子色谱法等。还有一些指标常用的方法有分光光度法、滴定分析法、重量分析法、电化学分析法等。此类检测方法虽具有较为精确的检测结果,但其检测成本高、耗时久、需专业人员操作,它还受限于一些大型检测机构,无法普及到普通用户家庭当中。With the development of social economy, scientific progress and the improvement of people's living standards, people's requirements for the water quality of drinking water continue to increase. Therefore, it is particularly important to propose a rapid detection method for water quality. There are many indicators for water quality testing. Among them, drinking water mainly considers the impact on human health, and its water quality standards include some physical indicators, chemical indicators and microbial indicators. pH and nitrite concentration are two of the important indicators. Different indicators have different standards. For example, the pH range of the water sample is required to be 6.5~8.5, and the toxicological indicator of nitrite is 1 mg/L. There are different detection methods for testing water quality indicators. The trace components in water are mainly analyzed by water quality testing instruments, which mainly include chromatographic analysis methods, such as gas chromatography, liquid chromatography, high performance liquid chromatography, and ion chromatography. There are also some commonly used methods for indicators, such as spectrophotometry, titration analysis, gravimetric analysis, and electrochemical analysis. Although this type of detection method has relatively accurate detection results, its detection cost is high, it takes a long time, and it requires professional operation.

近年来,比色法在快速检测中得到广泛应用。比色法是一种定量分析方法,一般包括两个步骤:一是选择适当的显色剂与待测组分反应,形成有色化合物;二是比较或测量有色化合物的颜色深度,进而确定待测组分的含量。在快速检测以及前期帅选的研究中,一种新的比色分析法即数字图片比色法的应用越来越广泛,其原理包括图像采集和图片处理两个部分。常用的图像采集工具有扫描仪、CCD或CMOS成像仪、数码相机、智能手机等;而处理图片则根据显色反应的特点来选择使用不同的颜色模型,这个过程由专业图片处理软件或编写手机APP来完成。与目视比色法与光电比色法相比,这种比色法操作简便、耗时少、成本低,检测精度介于目视比色法与光电比色法之间,因此,其应用受到广泛关注。In recent years, colorimetry has been widely used in rapid detection. Colorimetry is a quantitative analysis method, which generally includes two steps: one is to select an appropriate color developer to react with the component to be tested to form a colored compound; the other is to compare or measure the color depth of the colored compound, and then determine the color depth to be tested. component content. In the rapid detection and previous researches of Shuaixuan, a new colorimetric analysis method, that is, digital image colorimetry, is more and more widely used, and its principle includes two parts: image acquisition and image processing. Commonly used image acquisition tools include scanners, CCD or CMOS imagers, digital cameras, smart phones, etc. For image processing, different color models are selected and used according to the characteristics of color rendering reactions. This process is performed by professional image processing software or by writing mobile phones. APP to complete. Compared with visual colorimetry and photoelectric colorimetry, this colorimetric method is easy to operate, less time-consuming, low-cost, and the detection accuracy is between the visual colorimetry and photoelectric colorimetry. Therefore, its application is limited. extensive attention.

针对数字图片比色法,近年来,研究人员相继开发出一些快速检测方法。如Meng等人(X. Meng, C. W. Schultz, C. Cui, X. Li, H. Yu, On-site chip-basedcolorimetric quantitation of organophosphorus pesticides using an officescanner,Sensors and Actuators B: Chemical, 2015, 215: 577-583)利用普通平板扫描仪获取了微流体通道内农残检测液的数字图片,然后分析图片的Y值,来完成对农残的定量检测。Li等人( Li X, Tian J F, Shen W. Anal Bioanal Chem, 2010, 396(1): 495-501.)检测水样中亚硝酸根离子浓度时,在Photoshop中将图片从RGB模式转换为灰度模式,进而分析灰度强度与亚硝酸根离子浓度之间的关系。Richard等人(Murdock R C, Shen L,Optimization of a paper-based ELISA for a human performance biomarker.Analytical chemistry, 2013, 85(23): 11634-11642.)利用平板电脑获取滤纸微通道内待检物的数字图片,通过分析RGB值的变化实现了人体唾液中IgG(免疫球蛋白)的检测。For digital image colorimetry, in recent years, researchers have developed some rapid detection methods. For example, Meng et al. (X. Meng, C. W. Schultz, C. Cui, X. Li, H. Yu, On-site chip-based colorimetric quantitation of organophosphorus pesticides using an officescanner, Sensors and Actuators B: Chemical, 2015, 215: 577 -583) A digital picture of the pesticide residue detection solution in the microfluidic channel was obtained using a common flatbed scanner, and then the Y value of the picture was analyzed to complete the quantitative detection of pesticide residues. When Li et al. (Li X, Tian J F, Shen W. Anal Bioanal Chem, 2010, 396(1): 495-501.) detected the nitrite ion concentration in water samples, they converted the pictures from RGB mode to Grayscale mode, and then analyze the relationship between grayscale intensity and nitrite ion concentration. Richard et al. (Murdock R C, Shen L, Optimization of a paper-based ELISA for a human performance biomarker. Analytical chemistry, 2013, 85(23): 11634-11642.) used a tablet computer to obtain the analytes of the substances to be tested in the filter paper microchannels. Digital picture, the detection of IgG (immunoglobulin) in human saliva is realized by analyzing the change of RGB value.

然而,上述检测方法适用范围有限,对于色调发生明显变化的显色反应,分析RGB值、灰度值或CMY值就不再适用。而Abe等人(K. Abe , K. Suzuki, D.Citterio, Inkjet-printed microfluidic multianalyte chemical sensing paper. Analyticalchemistry, 2008, 80(18): 6928-6934)利用喷墨打印技术在滤纸上制备了微流体通道,通过扫描仪对滤纸上的显色进行图片采集,然后通过Lab色度系统来分析颜色,从而实现了对人体尿液中多种成分的检测。Shen等人(Shen L, Hagen J A, Papautsky I, Point-of-care colorimetric detection with a smartphone[J]. Lab on a Chip, 2012, 12(21): 4240-4243.)建立了不同pH值与其显色产物的色品坐标x-y之间的三维关系,而这种三维关系在确定样品的pH值时会相对比较复杂。Yetisen等人(Yetisen A K, Martinez-Hurtado J L, Garcia-Melendrez A, A smartphone algorithm with inter-phonerepeatability for the analysis of colorimetric tests[J]. Sensors andActuators B: Chemical, 2014, 196: 156-160.)在CIE 1931色品图上将各个标准品显色后颜色的色品坐标点的连线作为标准线,通过相关算法计算得到样品的pH值和蛋白质的浓度。李海燕等人(李海燕,张校亮,李晓春:基于颜色主波长和补色波长的比色法定量检测;分析测试学报,2016,11)利用颜色的主波长和补色波长结合MATLAB对溶液pH和NO2 -1浓度进行定量检测。However, the above-mentioned detection methods have a limited scope of application, and for color reactions with obvious changes in hue, analyzing RGB values, gray values, or CMY values is no longer applicable. And Abe et al. (K. Abe, K. Suzuki, D.Citterio, Inkjet-printed microfluidic multianalyte chemical sensing paper. Analyticalchemistry, 2008, 80(18): 6928-6934) prepared the micro-particles on filter paper by using inkjet printing technology. In the fluid channel, the color development on the filter paper is captured by the scanner, and then the color is analyzed by the Lab chromaticity system, so as to realize the detection of various components in human urine. Shen et al. (Shen L, Hagen JA, Papautsky I, Point-of-care colorimetric detection with a smartphone[J]. Lab on a Chip, 2012, 12(21): 4240-4243.) established different pH values and their correlation with The three-dimensional relationship between the chromaticity coordinates xy of the color product, and this three-dimensional relationship can be relatively complicated when determining the pH value of a sample. Yetisen et al. (Yetisen AK, Martinez-Hurtado JL, Garcia-Melendrez A, A smartphone algorithm with inter-phonerepeatability for the analysis of colorimetric tests[J]. Sensors and Actuators B: Chemical, 2014, 196: 156-160.) in On the CIE 1931 chromaticity diagram, the line connecting the chromaticity coordinate points of the color of each standard after color development is used as the standard line, and the pH value and protein concentration of the sample are calculated by the relevant algorithm. Li Haiyan et al. (Li Haiyan, Zhang Xiaoliang, Li Xiaochun: Colorimetric Quantitative Detection Based on Color Dominant Wavelength and Complementary Color Wavelength ; Journal of Analysis and Testing, 2016, 11) used the dominant wavelength and complementary color wavelength of color combined with MATLAB to determine the pH and NO2 of solution -1 concentration for quantitative detection.

以上操作方法操作步骤多、检测耗时长,图像采集与图像处理分开进行,因此不适合现场快速检测,在一些偏远地区或者或较落后的地区展开水质检测的工作也较为困难。而随着智能手机的广泛普及,越来越多的研究人员将智能手机应用于检测,并将图像采集与图像处理集成于一体。如Lopez-Ruiz等人( N. Lopez-Ruiz, V. F. Curto ,M .MErenas, Smartphone-based simultaneous pH and nitrite colorimetricdetermination for paper microfluidic devices. Analytical chemistry, 2014, 86(19): 9554-9562)用手机对滤纸上微通道内的显色进行图片采集,之后通过手机软件对图片分析实现了pH值和亚硝酸的定量检测。Shen等人(L. Shen , J .A. Hagen , I.Papautsky , Point-of-care colorimetric detection with a smartphone. Lab on aChip, 2012, 12(21): 4240-4243)利用智能手机进行图片采集,建立了不同pH值与其显色产物的色品坐标x-y之间的三维关系。Stéfani 等人(Andrade S I E, Lima M B, BarretoI S,A digital image-based flow-batch analyzer for determining Al (III) and Cr(VI) in water.Microchemical Journal, 2013, 109:106-111.)利用网络摄像头在装有荧光灯的密闭盒内拍照,通过分析RGB 值,实现了自来水中铝离子和铬离子的检测。其具有低成本、相对耗时短的优点,但处理时相对比较复杂。基于此本发明提出一种基于智能手机利用颜色主波长或补色波长的数字图片比色法,利用智能手机并且编写APP,使得检测结果直接呈现在手机界面上,极大地缩短了检测时间。The above operation method has many operation steps and takes a long time to detect, and image acquisition and image processing are carried out separately, so it is not suitable for rapid on-site detection, and it is also difficult to carry out water quality testing in some remote or backward areas. With the widespread popularity of smart phones, more and more researchers use smart phones for detection and integrate image acquisition and image processing. For example, Lopez-Ruiz et al. (N. Lopez-Ruiz, V. F. Curto, M. MErenas, Smartphone-based simultaneous pH and nitrite colorimetric determination for paper microfluidic devices. Analytical chemistry, 2014, 86(19): 9554-9562) used a mobile phone to The color development in the microchannel on the filter paper was used to collect pictures, and then the pictures were analyzed by the mobile phone software to realize the quantitative detection of pH value and nitrous acid. Shen et al. (L. Shen , J.A. Hagen , I.Papautsky , Point-of-care colorimetric detection with a smartphone. Lab on aChip, 2012, 12(21): 4240-4243) used smartphone for image acquisition , the three-dimensional relationship between different pH values and the chromaticity coordinates x-y of their color products was established. Stéfani et al. (Andrade S IE, Lima M B, Barreto I S, A digital image-based flow-batch analyzer for determining Al(III) and Cr(VI) in water. Microchemical Journal, 2013, 109:106-111.) Using Networks The camera took pictures in a closed box equipped with fluorescent lamps, and realized the detection of aluminum ions and chromium ions in tap water by analyzing RGB values. It has the advantages of low cost and relatively short time-consuming, but it is relatively complicated to process. Based on this, the present invention proposes a digital picture colorimetry method based on a smartphone using the dominant wavelength or complementary wavelength of color, using a smartphone and writing an APP, so that the detection results are directly displayed on the mobile phone interface, which greatly shortens the detection time.

发明内容SUMMARY OF THE INVENTION

本发明的目的是提供一种基于颜色主波长和补色波长的分子智能手机速测方法,实现基于智能手机随时随地的对生物化学样品进行快速准确的检测,并具有操作简便,成本低廉,适用范围广的特点。The purpose of the present invention is to provide a molecular smart phone rapid detection method based on color dominant wavelength and complementary color wavelength, which realizes fast and accurate detection of biochemical samples anytime and anywhere based on smart phones, and has the advantages of simple operation, low cost, and a wide range of applications. wide features.

本发明中提到的检测反应器皿是玻璃比色皿、PDMS微通道或者其他洁净透明的器皿。实现上述目的所采取的技术方案如下。The detection reaction vessel mentioned in the present invention is a glass cuvette, PDMS microchannel or other clean and transparent vessel. The technical solutions adopted to achieve the above objects are as follows.

一种基基于颜色主波长和补色波长的分子智能手机速测方法,所述速测方法是按下列步骤进行的:A kind of molecular smart phone speed measurement method based on color dominant wavelength and complementary color wavelength, the speed measurement method is carried out according to the following steps:

用于能够生成显色产物的样品制备;For sample preparation capable of producing chromogenic products;

用于采集显色产物图片的装置;A device for collecting pictures of colored products;

用于溶液颜色主波长和补色波长的智能手机检测程序,显示不同溶液对应的颜色主波长或者补色波长;Smartphone detection program for solution color dominant wavelength and complementary color wavelength, displaying the color dominant wavelength or complementary color wavelength corresponding to different solutions;

进一步地,附加技术方案如下:Further, the additional technical solutions are as follows:

所述用于能够生成显色产物的样品的制备是由能够生成显色产物并且产物色调有明显变化的样品构成。The preparation for the sample capable of producing a chromogenic product consists of a sample capable of producing a chromogenic product and having a distinct change in the hue of the product.

所述显色产物图片是在LED面光源下,由智能手机的摄像头图反应器皿进行拍照获取的。The picture of the color-developing product is obtained by taking pictures of the reaction vessel with the camera of the smartphone under the LED surface light source.

所述速检测方法是使样品在检测样品反应器皿中能够发生完全显色反应的条件下,利用智能手机App对对反应器皿进行拍照,手机App截取反应后得图片,对图片进行分析,实现快速定量检测。The rapid detection method is to use a smartphone App to take a picture of the reaction vessel under the condition that the sample can undergo a complete color reaction in the detection sample reaction vessel, and the mobile phone App intercepts the reaction and obtains the picture, and analyzes the picture to realize rapid detection. Quantitative detection.

实现上述本发明所提供的一种基于比色分析的智能手机颜色主波长和补色波长的速测方法,将待测待测样品与相应的显色剂混合于反应器皿皿中,然后将置于LED面光源下,利用智能手机摄像头对其进行拍照,并通过已编写的APP进行分析拟合出校准方程得到待测样品溶液的一个检测结果,显示到结果界面上。本发明利用颜色的主波长和补色波长,并利用智能手机检测程序,实现了对溶液相关参数的检测。本速测方法具有成本低、操作性强、检测时间短等特点。因此在环境检测、水质检测等领域有很好的应用前景,尤其可以应用到偏远地区的环境水质等检测。To realize a colorimetric analysis-based quick measurement method for the color dominant wavelength and complementary color wavelength of a smartphone provided by the present invention, the sample to be tested and the corresponding color developer are mixed in a reaction vessel, and then placed in a reaction vessel. Under the LED surface light source, use the smartphone camera to take pictures, and analyze and fit the calibration equation through the written APP to obtain a test result of the sample solution to be tested, which is displayed on the result interface. The invention utilizes the dominant wavelength and the complementary wavelength of the color, and utilizes the detection program of the smart phone to realize the detection of the relevant parameters of the solution. The speed measurement method has the characteristics of low cost, strong operability, and short detection time. Therefore, it has good application prospects in the fields of environmental testing and water quality testing, especially in remote areas.

附图说明Description of drawings

图1是本发明检测微通道透明基底层。Fig. 1 is the transparent base layer of the detection microchannel of the present invention.

图2是本发明检测微通道透明通道层。Fig. 2 is the transparent channel layer of the detection microchannel of the present invention.

图3是本发明检测微通道透明覆盖层。Fig. 3 is the transparent cover layer of the detection microchannel of the present invention.

图4是本发明加入显色产物。Figure 4 is the present invention adding a color product.

图5是本发明智能手机检测程序运行界面。FIG. 5 is the running interface of the smart phone detection program of the present invention.

图中:1:透明基底层;2:透明通道层;3:透明覆盖层;3-1:显色产物加样孔;3-2:显色产物通气孔;4:移液枪;5:智能手机检测程序运行界面;5-1:主界面;5-2:预览界面;5-3:结果界面。In the figure: 1: transparent base layer; 2: transparent channel layer; 3: transparent cover layer; 3-1: sample injection hole for color product; 3-2: vent hole for color product; 4: pipette gun; 5: Smartphone detection program running interface; 5-1: main interface; 5-2: preview interface; 5-3: result interface.

具体实施方式Detailed ways

下面做出示例性的实施例进一步说明本发明的具体实施方式。The following exemplary embodiments are made to further illustrate the specific embodiments of the present invention.

实施例1Example 1

实施一种基于颜色主波长和补色波长的分子智能手机速测方法,包括以下步骤:Implement a method for rapid detection of molecular smart phones based on the dominant wavelength and complementary wavelength of color, including the following steps:

(1)不同pH值溶液的配制:用无水磷酸二氢钠配制0.2mol/L磷酸二氢钠溶液,柠檬酸配制0.1mol/L溶液,然后将二者以不同比例混合可得到pH值从4.0到8.5(pH间隔0.5)的溶液。用碳酸氢钠和碳酸钠分别配制0.1mol/L碳酸氢钠溶液和0.1mol/L碳酸钠溶液,二者以不同比例混合可得到pH值为9.0、9.5、10.0的溶液。所有溶液的pH值均由STARTER 3100pH计测定。(1) Preparation of solutions with different pH values: use anhydrous sodium dihydrogen phosphate to prepare 0.2mol/L sodium dihydrogen phosphate solution, and citric acid to prepare 0.1mol/L solution, and then mix the two in different proportions to obtain pH values ranging from 4.0 to 8.5 (pH interval 0.5) solutions. Use sodium bicarbonate and sodium carbonate to prepare 0.1mol/L sodium bicarbonate solution and 0.1mol/L sodium carbonate solution, respectively, and mix the two in different proportions to obtain solutions with pH values of 9.0, 9.5, and 10.0. The pH of all solutions was determined with a STARTER 3100 pH meter.

(2)pH显色剂的配制:分别取百里酚蓝0.01g,甲基红0.32g,溴百里香酚蓝1.20g,酚酞1.20g,将二者混合并研匀,取200mL浓度为95%的无水乙醇溶解充分,并加入150mL超纯水稀释。最后用氢氧化钠配制的0.1mol/L的氢氧化钠溶液来中和前述溶液至刚好显绿色,并加超纯水定容到400mL。(2) Preparation of pH developer: respectively take 0.01 g of thymol blue, 0.32 g of methyl red, 1.20 g of bromothymol blue, and 1.20 g of phenolphthalein, mix the two and grind them evenly, take 200 mL of 95% concentration The anhydrous ethanol was fully dissolved, and 150 mL of ultrapure water was added to dilute. Finally, use a 0.1 mol/L sodium hydroxide solution prepared with sodium hydroxide to neutralize the aforementioned solution until it just turns green, and add ultrapure water to make up the volume to 400 mL.

(3)不同pH值的溶液与显色剂的混合:将3mL不同pH值的缓冲溶液分别置于比色管内,取0.1mL的显色液加入其中,并摇匀,使其充分发生显色反应。随后,取1mL显色产物注入设计好的微通道中。(3) Mixing of solutions with different pH values and color-developing reagents: Put 3 mL of buffer solutions with different pH values into colorimetric tubes, add 0.1 mL of color-developing solution into it, and shake well to fully develop color. reaction. Subsequently, 1 mL of the color product was injected into the designed microchannel.

(4)对样品均匀照明:将上述PDMS微通道放置在LED面光源(18*18cm,20W)下。(4) Uniform illumination of the sample: Place the above PDMS microchannel under an LED surface light source (18*18cm, 20W).

(5)智能手机检测程序读取过程:首先将智能手机固定在LED面光源下的比色皿的前方。在手机屏幕上点击图标进入主界面,主界面包括四个按钮,分别为Start、History、Instructions、Quit。点击Start按钮进入手机相机预览界面,此时预览界面上会显示出一个大的红色矩形框,在此矩形框内又分布着六个红色窄矩形框,将每个矩形框对准预览界面上的条形框后,点击Capture按钮,程序会自动截取红色矩形框内的图片并保存到手机中,然后点击Analyse按钮,程序会自动计算出每个条形框内颜色的主波长,并根据标准液的pH值及对应的颜色主波长拟合出校准方程,结合此校准方程与待检液对应的颜色主波长计算出待测样品溶液的pH值,最后将检测结果直接显示到界面上。(5) The reading process of the smartphone detection program: First, fix the smartphone in front of the cuvette under the LED surface light source. Click the icon on the phone screen to enter the main interface. The main interface includes four buttons, namely Start, History, Instructions, and Quit. Click the Start button to enter the camera preview interface of the mobile phone. At this time, a large red rectangle will be displayed on the preview interface. There are six red narrow rectangles distributed in this rectangle. Align each rectangle at the preview interface. After the bar frame, click the Capture button, the program will automatically capture the picture in the red rectangle frame and save it to the mobile phone, then click the Analyze button, the program will automatically calculate the dominant wavelength of the color in each bar frame, and according to the standard solution The pH value of the solution and the corresponding color dominant wavelength are fitted to a calibration equation, and the pH value of the sample solution to be tested is calculated by combining this calibration equation and the color dominant wavelength corresponding to the solution to be tested, and finally the test results are directly displayed on the interface.

实施例2Example 2

将实施例1中的方法用于检测水中亚硝酸根离子的浓度,包括以下步骤:The method in embodiment 1 is used to detect the concentration of nitrite ions in water, comprising the following steps:

(1)不同浓度的亚硝酸钠溶液的配制:取0.025 g的亚硝酸钠粉末,溶解到25 mL的超纯水中,得到1000 mg/L的亚硝酸钠溶液。以此为母液,分别配制浓度为0、1、2、5、10、12、15、20、25、30、40 mg/L的亚硝酸钠溶液。(1) Preparation of sodium nitrite solutions of different concentrations: Take 0.025 g of sodium nitrite powder and dissolve it into 25 mL of ultrapure water to obtain 1000 mg/L sodium nitrite solution. Using this as the mother liquor, sodium nitrite solutions with concentrations of 0, 1, 2, 5, 10, 12, 15, 20, 25, 30, and 40 mg/L were prepared respectively.

(2)亚硝酸盐显示剂的配制:取0.1722 g磺胺、0.0518 g盐酸萘乙二胺和0.317g柠檬酸,溶解于20 mL的甲醇中,使用之前低温避光保存。(2) Preparation of nitrite display agent: take 0.1722 g of sulfonamide, 0.0518 g of naphthalene ethylenediamine hydrochloride and 0.317 g of citric acid, dissolve in 20 mL of methanol, and store at low temperature and dark before use.

(3)不同浓度的亚硝酸钠与显色剂的混合:将3mL不同浓度的亚硝酸钠溶液分别置于比色管内,取0.7mL的显色液加入其中,并摇匀,使其充分发生显色反应。随后,取1mL显色产物注入设计好的微通道中。(3) Mixing of different concentrations of sodium nitrite and chromogenic reagent: put 3 mL of different concentrations of sodium nitrite solution in a colorimetric tube, add 0.7 mL of chromogenic solution into it, and shake well to make it fully occur. color reaction. Subsequently, 1 mL of the color product was injected into the designed microchannel.

(4)对样品均匀照明:将上述PDMS微通道放置在LED面光源(18*18cm,20W)下。(4) Uniform illumination of the sample: Place the above PDMS microchannel under an LED surface light source (18*18cm, 20W).

(5)智能手机检测程序读取过程:首先将智能手机固定在LED面光源下的比色皿的前方。在手机屏幕上点击图标进入主界面,主界面包括四个按钮,分别为Start、History、Instructions、Quit。点击Start按钮进入手机相机预览界面,此时预览界面上会显示出一个大的红色矩形框,在此矩形框内又分布着六个红色窄条形框,将每个矩形框对准预览界面上的条形框后,点击Capture按钮,程序会自动截取红色矩形框内的图片并保存到手机中,然后点击Analyse按钮,程序会自动计算出每个条形框内颜色的补色波长,并根据标准液的NO2 -1浓度及对应的颜色补色波长拟合出校准方程,结合此校准方程与待检液对应的颜色补色波长计算出待测样品溶液的NO2 -1浓度,最后将检测结果直接显示到界面上。(5) The reading process of the smartphone detection program: First, fix the smartphone in front of the cuvette under the LED surface light source. Click the icon on the phone screen to enter the main interface. The main interface includes four buttons, namely Start, History, Instructions, and Quit. Click the Start button to enter the camera preview interface of the mobile phone. At this time, a large red rectangular box will be displayed on the preview interface. There are six red narrow strip boxes distributed in this rectangular box. Align each rectangular box on the preview interface. After the bar box is displayed, click the Capture button, the program will automatically capture the picture in the red rectangle box and save it to the mobile phone, and then click the Analyze button, the program will automatically calculate the complementary color wavelength of the color in each bar box, and according to the standard The NO 2 -1 concentration of the liquid and the corresponding color complementary color wavelength are fitted to a calibration equation, and the NO 2 -1 concentration of the sample solution to be tested is calculated by combining this calibration equation and the color complementary color wavelength corresponding to the liquid to be tested, and finally the test results are directly displayed on the interface.

Claims (1)

1.一种基于颜色主波长和补色波长的分子智能手机速测方法,所述速测方法是按下列步骤进行的:1. A molecular smart phone speed measurement method based on color dominant wavelength and complementary color wavelength, the speed measurement method is carried out according to the following steps: 用于能够生成显色产物的样品制备;For sample preparation capable of producing chromogenic products; 用于采集显色产物图片的装置,用于智能手机拍照采集图片;A device for collecting pictures of color-developing products, used for taking pictures and collecting pictures with a smartphone; 用于溶液颜色主波长和补色波长的智能手机检测程序,显示不同溶液对应的颜色主波长或者补色波长;Smartphone detection program for solution color dominant wavelength and complementary color wavelength, displaying the color dominant wavelength or complementary color wavelength corresponding to different solutions; 所述速测的具体方法是按下列具体步骤进行的:The specific method of the quick test is carried out according to the following specific steps: (1)用于能够生成显色产物的样品制备,是由其显色产物随着样品的相关参数的改变色调发生明显变化的样品构成;(1) The sample preparation for generating a color product is composed of a sample whose color product changes significantly in hue with the change of the relevant parameters of the sample; (2)用于在所述采集显色产物的装置下放入装有所要检测的样品,实现样品定量检测的显色反应,样品反应器皿的颜色分别能够被手机识读装置读出相应的数据结果,截取反应后的图片信息,对获得的图片进行分析,通过与对照结果相比,显示检测结果;(2) For placing the sample to be detected under the device for collecting the color product, to realize the color reaction of quantitative detection of the sample, the color of the sample reaction vessel can be read out by the mobile phone reading device. Corresponding data As a result, the picture information after the reaction is intercepted, the obtained picture is analyzed, and the detection result is displayed by comparing with the control result; (3)所述用于溶液颜色主波长和补色波长的智能手机检测程序,智能手机检测程序会自动计算出颜色的主波长或补色波长,并根据标准液的pH值及对应的颜色主波长拟合出校准方程,结合此校准方程与待检液对应的颜色主波长计算出待测样品溶液的pH值,或者根据标准液的NO2 -1浓度及对应的颜色补色波长拟合出校准方程,结合此校准方程与待检液对应的颜色补色波长计算出待测样品溶液的NO2 -1浓度,显示检测结果,是由Java语言编写并运行在Android手机平台上;(3) The smart phone detection program for the dominant wavelength and complementary color wavelength of the solution color, the smart phone testing program can automatically calculate the dominant wavelength or complementary color wavelength of the color, and according to the pH value of the standard solution and the corresponding color dominant wavelength Combine the calibration equation, calculate the pH value of the sample solution to be tested by combining the calibration equation and the color dominant wavelength corresponding to the test solution, or fit the calibration equation according to the NO 2 -1 concentration of the standard solution and the corresponding color complementary color wavelength, Calculate the NO 2 -1 concentration of the sample solution to be tested by combining the calibration equation and the color complementary wavelength corresponding to the liquid to be tested, and display the test result, which is written in Java and runs on the Android mobile phone platform; 所述反应器皿是比色皿、PDMS微通道或者其他透明装置;The reaction vessel is a cuvette, a PDMS microchannel or other transparent devices; 所述采集显色产物图片的装置,用于智能手机拍照采集图片,是将装有显色产物的反应器皿放在LED面光源下完成;The device for collecting pictures of color-developing products is used for taking pictures and collecting pictures with a smartphone, and is completed by placing the reaction vessel containing the color-developing products under an LED surface light source; 所述速检测方法是使样品在样品反应器皿中发生完全显色反应的条件下,利用手机App对显色反应后的反应器皿进行拍照,根据手机App截取反应后得图片,对图片进行分析,实现快速定量检测。The rapid detection method is that under the condition that the sample undergoes a complete color reaction in the sample reaction vessel, the reaction vessel after the color reaction is photographed by using a mobile phone App, and the picture is obtained after the reaction is intercepted according to the mobile phone App, and the picture is analyzed. Realize rapid quantitative detection.
CN201610914030.2A 2016-10-20 2016-10-20 Molecular smart phone rapid test method based on color dominant wavelength and complementary color wavelength Active CN106525826B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610914030.2A CN106525826B (en) 2016-10-20 2016-10-20 Molecular smart phone rapid test method based on color dominant wavelength and complementary color wavelength

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610914030.2A CN106525826B (en) 2016-10-20 2016-10-20 Molecular smart phone rapid test method based on color dominant wavelength and complementary color wavelength

Publications (2)

Publication Number Publication Date
CN106525826A CN106525826A (en) 2017-03-22
CN106525826B true CN106525826B (en) 2020-01-03

Family

ID=58332753

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610914030.2A Active CN106525826B (en) 2016-10-20 2016-10-20 Molecular smart phone rapid test method based on color dominant wavelength and complementary color wavelength

Country Status (1)

Country Link
CN (1) CN106525826B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3646005B1 (en) * 2017-06-27 2023-03-01 Life Technologies Holdings Pte Limited Method of analyzing liquid samples, microplate reader and computer program
CN107727651A (en) * 2017-08-29 2018-02-23 太原理工大学 The quick high-precision fixed amount detecting devices of pH in scene and method based on smart machine
CN107917876B (en) * 2017-10-16 2020-12-22 太原理工大学 Antibiotic detection device and method based on nanogold-aptamer structure
CN109254000A (en) * 2018-10-25 2019-01-22 太原理工大学 Array urine multiple determination apparatus and method based on smart machine colorimetric analysis
CN114264604A (en) * 2021-12-23 2022-04-01 国家体育总局体育科学研究所 Athlete urine color analysis system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102792151A (en) * 2010-03-23 2012-11-21 加州理工学院 Super resolution optofluidic microscopes for 2D and 3D imaging
CN103281459A (en) * 2013-06-06 2013-09-04 仝晓萌 Mobile phone capable of measuring sweetness and PH value of fruit

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9787815B2 (en) * 2013-01-21 2017-10-10 Cornell University Smartphone-based apparatus and method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102792151A (en) * 2010-03-23 2012-11-21 加州理工学院 Super resolution optofluidic microscopes for 2D and 3D imaging
CN103281459A (en) * 2013-06-06 2013-09-04 仝晓萌 Mobile phone capable of measuring sweetness and PH value of fruit

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Point-of-care colorimetric detection with a smartphone;Li Shen et al;《Lab on a chip》;20121231;第12卷;摘要、第1-3节 *
The modern Forel-Ule scale: a ‘do-it-yourself’ colour comparator for water monitoring;S. Novoa et al;《J. Europ. Opt. Soc. Rap. Public》;20140721;第9卷;第2.3节 *
基于智能手机数字比色法的有机磷农残快速检测技术研究;杨冬冬;《中国优秀硕士学位论文全文数据库 农业科技辑》;20150915(第9期);第13页 *

Also Published As

Publication number Publication date
CN106525826A (en) 2017-03-22

Similar Documents

Publication Publication Date Title
CN106525826B (en) Molecular smart phone rapid test method based on color dominant wavelength and complementary color wavelength
Luka et al. Portable device for the detection of colorimetric assays
Grudpan et al. Applications of everyday IT and communications devices in modern analytical chemistry: A review
García et al. Mobile phone platform as portable chemical analyzer
JP6480988B2 (en) Software applications and processors
Jia et al. The calibration of cellphone camera-based colorimetric sensor array and its application in the determination of glucose in urine
Shahvar et al. Smartphone-based chemiluminescence sensing for TLC imaging
CN105675507B (en) A kind of cysteine detecting method based on mobile phone color analysis
CN104251861A (en) Intelligent terminal-based liquid detection analyzer and detection method using the same
CN104251859B (en) Gas detection analyzer based on intelligent terminal and testing method
CN109254000A (en) Array urine multiple determination apparatus and method based on smart machine colorimetric analysis
WO2019153934A1 (en) System and method for quantitatively analyzing dry chemical test strip by means of mobile terminal
GB2561863A (en) Methods for colorimetric analysis
Heidari-Bafroui et al. Portable infrared lightbox for improving the detection limits of paper-based phosphate devices
CN108508006A (en) A kind of portable detector
WO2022267799A1 (en) Water quality testing method and water quality testing apparatus
CN107884396A (en) A kind of online sensing analytical method of ascorbic acid concentrations based on light microscope and auxiliary developer
CN110514656B (en) Method for the analysis of long-lived active components in low temperature plasma treatment solutions
CN105675601A (en) System and detection method for rapidly detecting catechol and derivatives thereof on site
WO2017113545A1 (en) Suck-and-test liquid tester
CN108489973A (en) The quantitative testing device and its detection method to concentration are realized based on P integrated with scanner
Li et al. Development of a versatile smartphone-based environmental analyzer (vSEA) and its application in on-site nutrient detection
CN110672594A (en) Chip colorimetric detection method based on light transmission result analysis
Xing et al. A cellphone-based colorimetric multi-channel sensor for water environmental monitoring
CN114527116A (en) Ambient light correction array type colorimetric analysis system and method based on intelligent equipment

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant