CN2778198Y - Respiration checkout gear for early lung carcinoma diagnosis - Google Patents
Respiration checkout gear for early lung carcinoma diagnosis Download PDFInfo
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Abstract
本实用新型公开了一种用于诊断早期肺癌的呼吸检测装置。包括固相微萃取头(1)、气体热脱附器(2)、信号处理器(6)、计算机(7);其特征在于:固相微萃取头(1)插入气体热脱附器(2),气体热脱附器(2)出口接装在温度控制箱中的毛细管分离柱(3)的入口,毛细管分离柱(3)的出口经过检测头接口(4)到达检测头(5)的有机气体敏感膜,产生的差频信号传入信号处理器(6)后接计算机(7)。先把疑似肺癌由检测头上的有机气体敏感膜吸附,从而检测到被测有机气体成分的含量,对检测到的11种肺癌标志性有机成分,进行数据图像处理和神经网络模式识别,从而能够诊断出肺癌患者。本实用新型也可在食品、化工、生物医学、农产品加工、中药、空气污染监测等领域中对挥发性有机物进行定性和定量检测。
The utility model discloses a breathing detection device for diagnosing early lung cancer. It includes a solid phase microextraction head (1), a gas thermal desorber (2), a signal processor (6), and a computer (7); it is characterized in that: the solid phase microextraction head (1) is inserted into the gas thermal desorber ( 2), the outlet of the gas thermal desorber (2) is connected to the inlet of the capillary separation column (3) installed in the temperature control box, and the outlet of the capillary separation column (3) reaches the detection head (5) through the detection head interface (4) The difference frequency signal generated by the organic gas sensitive film is transmitted to the signal processor (6) and then connected to the computer (7). First, the suspected lung cancer is adsorbed by the organic gas sensitive film on the detection head, so as to detect the content of the measured organic gas components, and perform data image processing and neural network pattern recognition on the detected 11 kinds of lung cancer symbolic organic components, so as to be able to diagnosed with lung cancer. The utility model can also perform qualitative and quantitative detection of volatile organic compounds in the fields of food, chemical industry, biomedicine, agricultural product processing, traditional Chinese medicine, air pollution monitoring and the like.
Description
技术领域technical field
本实用新型涉及一种用于诊断早期肺癌的呼吸检测装置。The utility model relates to a breathing detection device for diagnosing early lung cancer.
背景技术Background technique
据估计,全世界每年有60万左右新增肺癌病人,肺癌为当前世界各地最为常见的恶性肿瘤之一,发病率在多数国家都有明显增高的趋势。肺癌五年后的存活率为14%,如果能够在早期就得到诊断治疗的话,五年后的存活率为48%,因此设计能够无创地检测早期肺癌病人的呼吸检测仪器有很大的实用意义。目前临床上,肺癌的常见诊断方法有:X线检查、电子计算机断层扫描(CT)、磁共振断层扫描(MRI)、痰脱落细胞检查、纤维支气管镜检查、经皮肺穿刺活检等,但是采用这些方法的设备庞大,并且昂贵,对病人的创伤大,需要熟练的操作人员,而且最重要的是不能进行早期诊断。It is estimated that there are about 600,000 new lung cancer patients every year in the world. Lung cancer is currently one of the most common malignant tumors in the world, and the incidence rate has a tendency to increase significantly in most countries. The five-year survival rate of lung cancer is 14%. If it can be diagnosed and treated at an early stage, the five-year survival rate is 48%. Therefore, it is of great practical significance to design a breath detection instrument that can non-invasively detect early lung cancer patients. . At present, clinically, common diagnostic methods for lung cancer include: X-ray examination, computerized tomography (CT), magnetic resonance tomography (MRI), sputum exfoliated cell examination, fiberoptic bronchoscopy, percutaneous lung biopsy, etc. The equipment of these methods is huge and expensive, the trauma to the patient is great, skilled operators are required, and most importantly, early diagnosis cannot be carried out.
发明内容Contents of the invention
本实用新型的目的在于提供一种用于诊断早期肺癌的呼吸检测装置,能够对疑似早期肺癌患者呼吸中的挥发性有机气体(VOC)进行定性和定量检测。The purpose of the utility model is to provide a breath detection device for diagnosing early lung cancer, which can perform qualitative and quantitative detection of volatile organic gases (VOC) in the breath of suspected early lung cancer patients.
为了达到上述目的,本实用新型采用的技术方案如下:In order to achieve the above object, the technical scheme that the utility model adopts is as follows:
一、用于诊断早期肺癌的呼吸检测方法:1. Breath detection method for early diagnosis of lung cancer:
先把疑似肺癌患者的呼吸气体用固相微萃取头进行预富集,再把吸附了有机气体成分的固相微萃取针插入气体热脱附器,使之热脱附,热脱附后的有机气体成分通过气相色谱毛细管分离柱进行分离,使被测有机气体按时间顺序依次到达由一对高频延迟线声表面波传感器做成的检测器,由检测器上的有机气体敏感膜吸附,从而检测到被测有机气体成分,对检测到的11种肺癌标志性有机成分,进行数据图像处理和神经网络模式识别,从而能够诊断出肺癌患者。First, the respiratory gas of suspected lung cancer patients is pre-enriched with a solid-phase microextraction head, and then the solid-phase microextraction needle adsorbed with organic gas components is inserted into the gas thermal desorber to make it thermally desorbed. The organic gas components are separated through the gas chromatography capillary separation column, so that the measured organic gases arrive at the detector made of a pair of high-frequency delay line surface acoustic wave sensors in sequence, and are adsorbed by the organic gas sensitive film on the detector. In this way, the measured organic gas components are detected, and data image processing and neural network pattern recognition are performed on the detected 11 kinds of lung cancer symbolic organic components, so that lung cancer patients can be diagnosed.
二、用于诊断早期肺癌的呼吸检测装置,包括固相微萃取头、气体热脱附器、信号处理器、计算机。固相微萃取头插入气体热脱附器,气体热脱附器出口接装在温度控制箱中的毛细管分离柱的入口,毛细管分离柱的出口经过检测头接口到达检测头的有机气体敏感膜,产生的差频信号传入信号处理器后接计算机。2. A breathing detection device for diagnosing early lung cancer, including a solid-phase micro-extraction head, a gas thermal desorber, a signal processor, and a computer. The solid-phase microextraction head is inserted into the gas thermal desorber, the outlet of the gas thermal desorber is connected to the inlet of the capillary separation column installed in the temperature control box, and the outlet of the capillary separation column reaches the organic gas sensitive membrane of the detection head through the detection head interface. The generated difference frequency signal is sent to the signal processor and then connected to the computer.
所述的检测头包括:在128°Y切X传播的LiNbO3做成的基底上用铝膜做成两组叉指电极通道,中间用铝膜做成两个2.5mm的延迟线,在一个延迟线上镀一层100nm的聚异丁烯有机气体敏感膜作为检测通道,另一个不镀膜作为参比通道,两个通道产生的信号通过射频放大器连接到混频器,产生用于检测的差频信号,输入差频信号到信号处理器。The detection head includes: two groups of interdigitated electrode channels are made of aluminum film on a substrate made of 128° Y-cut X-propagated LiNbO 3 , two 2.5mm delay lines are made of aluminum film in the middle, and a A layer of 100nm polyisobutylene organic gas sensitive film is coated on the delay line as the detection channel, and the other uncoated film is used as the reference channel. The signals generated by the two channels are connected to the mixer through the RF amplifier to generate a difference frequency signal for detection , input the difference frequency signal to the signal processor.
所述的检测头接口包括:毛细管出口喷头固定在加热器上,毛细管分离柱通过喷头连接到检测头上的有机气体敏感膜,在喷头的外侧套上一个铝合金做成的圆柱型导热金属套,其底部固定在加热器上,在导热金属套的上部用隔热材料做成一个热绝缘帽子,在帽子上反扣检测头,从而形成一个非密闭的气室,把检测头和3cm×3cm的半导体制冷片固定在一起,使半导体制冷片的冷面和检测头的底部通过导热硅胶相连,半导体制冷片的热面和散热片通过导热硅胶相连。The detection head interface includes: the capillary outlet nozzle is fixed on the heater, the capillary separation column is connected to the organic gas sensitive film on the detection head through the nozzle, and a cylindrical heat-conducting metal sleeve made of aluminum alloy is placed on the outside of the nozzle , the bottom of which is fixed on the heater, and a heat-insulating cap is made of heat-insulating material on the upper part of the heat-conducting metal sleeve, and the detection head is buckled on the cap to form a non-airtight air chamber. The detection head and 3cm×3cm The semiconductor refrigerating sheet is fixed together, so that the cold surface of the semiconductor refrigerating sheet is connected with the bottom of the detection head through thermal silica gel, and the hot surface of the semiconductor refrigerating sheet is connected with the heat sink through thermally conductive silica gel.
本实用新型具有的优点是:检测器件小,检测范围宽,检测灵敏度高,检测快速,使用便捷,能对肺癌疑似人群作早期、无创的检测。该新型呼吸检测仪器由于能检测气体中的有机成分,也可在食品、化工、生物医学、农产品加工、中药、空气污染监测等领域中对挥发性有机物进行定性和定量检测。The utility model has the advantages that the detection device is small, the detection range is wide, the detection sensitivity is high, the detection is fast, the use is convenient, and the lung cancer suspected crowd can be detected early and non-invasively. Since the new breathing detection instrument can detect organic components in gases, it can also perform qualitative and quantitative detection of volatile organic compounds in the fields of food, chemical industry, biomedicine, agricultural product processing, traditional Chinese medicine, and air pollution monitoring.
附图说明Description of drawings
下面结合附图和实施例对本实用新型作进一步说明。Below in conjunction with accompanying drawing and embodiment the utility model is further described.
图1是本实用新型的基本结构原理图;Fig. 1 is the basic structural schematic diagram of the utility model;
图2是本实用新型的检测头的基本结构原理图;Fig. 2 is a schematic diagram of the basic structure of the detection head of the present utility model;
图3是本实用新型的检测头接口基本结构原理图;Fig. 3 is a schematic diagram of the basic structure of the detection head interface of the present invention;
图4是旋转滴涂技术制备薄膜过程原理图;Fig. 4 is the schematic diagram of the thin film preparation process by spin-dispensing technology;
图5是本实用新型的图像处理过程原理图;Fig. 5 is a schematic diagram of the image processing process of the present utility model;
图6是本实用新型的基线响应;Fig. 6 is the baseline response of the present utility model;
图7是本实用新型对一个肺癌患者呼吸气体的响应曲线;Fig. 7 is the response curve of the utility model to the respiratory gas of a lung cancer patient;
图8是本实用新型对不同浓度癸烷气体的响应特征曲线。Fig. 8 is the response characteristic curve of the utility model to different concentrations of decane gas.
图中:1、固相微萃取头,2、气体热脱附器,3、装在温度控制箱中的毛细管分离柱,4、检测头接口,5、检测头,6、信号处理器,7、计算机,8、128°Y切X传播的LiNbO3做成的基底,9、射频放大器,10、检测通道,11、参比通道,12、有机气体敏感膜,13、混频器,14、毛细管出口喷头,15、加热器,16、圆柱型导热金属套,17、热绝缘帽子,18、导热硅胶,19、散热片,20、半导体制冷片。In the figure: 1. Solid-phase microextraction head, 2. Gas thermal desorber, 3. Capillary separation column installed in a temperature control box, 4. Detection head interface, 5. Detection head, 6. Signal processor, 7 , computer, 8, substrate made of LiNbO 3 with 128°Y cut X propagation, 9, radio frequency amplifier, 10, detection channel, 11, reference channel, 12, organic gas sensitive film, 13, mixer, 14, Capillary outlet nozzle, 15, heater, 16, cylindrical heat-conducting metal sleeve, 17, thermal insulation cap, 18, heat-conducting silica gel, 19, heat sink, 20, semiconductor refrigeration sheet.
具体实施方式Detailed ways
1、本实用新型的具体结构:1, the concrete structure of the present utility model:
如图1所示,一种用于诊断早期肺癌的呼吸检测方法的设备,包括固相微萃取头1、气体热脱附器2、信号处理器6(频率器1k~1MHz)、计算机7(PC机)。固相微萃取头1插入气体热脱附器2,气体热脱附器2出口接装在温度控制箱中的毛细管分离柱3的入口,装在温度控制箱中的毛细管分离柱3的出口经过检测头接口4到达检测头5的有机气体敏感膜,产生的差频信号传入信号处理器6后接计算机7。As shown in Figure 1, a kind of equipment that is used for the breathing detection method of diagnosis early stage lung cancer, comprises solid phase microextraction head 1, gas thermal desorber 2, signal processor 6 (frequency device 1k~1MHz), computer 7 ( PC). The solid-phase microextraction head 1 is inserted into the gas thermal desorber 2, the outlet of the gas thermal desorber 2 is connected to the inlet of the capillary separation column 3 installed in the temperature control box, and the outlet of the capillary separation column 3 installed in the temperature control box passes through The detection head interface 4 reaches the organic gas sensitive film of the
如图2所示,所述的检测头5包括:在128°Y切X传播的LiNbO3做成的基底8上用铝膜做成两组叉指电极通道,在它们中间用铝膜做成两个2.5mm的延迟线,在一个延迟线上镀一层100nm的聚异丁烯有机薄膜12作为检测通道10,另一个不镀膜作为参比通道11,两个通道产生的信号通过射频放大器9(型号MAX2650)连接到混频器13(型号MC1496),产生用于检测的差频信号,输入差频信号到信号处理器6。As shown in Figure 2, the
如图3所示,所述的检测头接口4包括:毛细管出口喷头14固定在加热器15上,装在温度控制箱中的毛细管分离柱3通过喷头连接到检测头5上的有机气体敏感膜12,在喷头的外侧套上一个铝合金做成的圆柱型导热金属套16,其底部固定在加热器15上,在导热金属套16的上部用隔热材料做成一个热绝缘帽子17,在帽子上反扣检测头5,从而形成一个非密闭的气室,把检测头5和3cm×3cm的半导体制冷片20固定在一起,使半导体制冷片20的冷面和检测头5的底部通过导热硅胶18相连,同时,半导体制冷片20的热面和散热片19通过导热硅胶18相连。As shown in Figure 3, the detection head interface 4 includes: the
当肺癌疑似病人的呼吸气体被固相微萃取头预富集后,吸附在固相微萃取头上,在气体热脱附器中被脱附,由氮气作为载气,被送入毛细管分离柱分离。分离后的有机气体成分依次通过检测头接口到达检测头,被检测头上的有机气体敏感膜吸附,检测头产生频率变化信号,通过和参比通道的混频后得到差频信号,差频信号被信号处理器接受并处理后传递到计算机上进行最后的图像处理和神经网络分析。When the respiratory gas of suspected lung cancer patients is pre-enriched by the solid-phase microextraction head, it is adsorbed on the solid-phase microextraction head, desorbed in the gas thermal desorber, and sent to the capillary separation column with nitrogen as the carrier gas. separate. The separated organic gas components arrive at the detection head through the detection head interface in turn, and are adsorbed by the organic gas sensitive film on the detection head. The detection head generates a frequency change signal, which is mixed with the reference channel to obtain a difference frequency signal. The difference frequency signal After being accepted and processed by the signal processor, it is sent to the computer for final image processing and neural network analysis.
2、本实用新型的制作方法:2, the preparation method of the utility model:
(1)延迟线声表面传感器的设计与制作(1) Design and manufacture of delay line surface acoustic sensor
选用128°Y切X传播的LiNbO3单晶片作为声表面传感器的压电基片即基底8。经抛光清洗后,沿用已广泛应用于半导体集成电路领域的蚀刻技术,用铝膜制成500nm厚,12.82um宽的叉指电极(IDT)和边长为2.5mm的正方形延迟线。A 128° Y-cut X-propagation LiNbO 3 single chip is selected as the piezoelectric substrate of the acoustic surface sensor, that is, the
设计参数如下:The design parameters are as follows:
(1)128°Y切X传播的LiNbO3基片(1) 128°Y-cut X-propagated LiNbO 3 substrate
(2)IDT指宽,指间距为12.82um(2) IDT refers to the width, and the finger spacing is 12.82um
(3)孔径w=2.5mm(3) Aperture w=2.5mm
(4)输出对数为N1=46对指(4) The output logarithm is N1=46 pairs of fingers
(5)输入对数为N2=29对指(5) The input logarithm is N2=29 pairs of fingers
(6)带宽:由Δf=f0/N;f0=78.1MHz,N=46,可知带宽Δf=1.70MHz(6) Bandwidth: From Δf=f 0 /N; f 0 =78.1MHz, N=46, it can be seen that the bandwidth Δf=1.70MHz
(2)有机气体敏感膜12传感器的制备:(2) Preparation of organic gas
选用氯仿和甲苯作为有机溶剂,质量比1∶1,充分混合后,加入聚异丁稀(PIB)作为溶质,在室温,一个大气压下,制成质量百分比为15%~20%的溶液,取0.4μL此种溶液滴涂于SAW传感器表面,转速为1500到2000转每分钟,旋转60秒后涂膜结束,如图4所示,。在涂膜的同时应该使涂膜空间内有饱和的水蒸气,因为这样产生的薄膜具有多孔特性,能提高薄膜对VOC气体分子的吸附能力。把涂完薄膜的传感器放置在真空器皿中干燥,并把该器皿放入烘箱内保持恒温45℃至少2、3天以除去薄膜中的溶剂。这样就完成了薄膜传感器的制备。Select chloroform and toluene as organic solvent, mass ratio 1: 1, after fully mixing, add polyisobutylene (PIB) as solute, at room temperature, under one atmospheric pressure, make the solution that mass percent is 15%~20%, take 0.4 μL of this solution is drip-coated on the surface of the SAW sensor at a rotation speed of 1500 to 2000 revolutions per minute, and the coating film ends after 60 seconds of rotation, as shown in Figure 4. While coating the film, there should be saturated water vapor in the space of the coating film, because the film produced in this way has porous characteristics, which can improve the adsorption capacity of the film to VOC gas molecules. Put the film-coated sensor in a vacuum vessel to dry, and put the vessel in an oven to keep a constant temperature of 45°C for at least 2 or 3 days to remove the solvent in the film. This completes the preparation of the thin film sensor.
(3)检测头5的制作:(3) Production of the detection head 5:
使用前述的一个薄膜传感器作为检测通道10和一个未镀膜的传感器作为参比通道11,用正反馈电路使之振荡,产生频率信号。通过混频器电路和低通电路后,产生差频信号。用半导体制冷片20制成的制冷器对两个传感器的基底制冷,以便保持传感器在室温下工作。这样就完成了检测头的制作,我们可以通过检测差频信号的变化,确定检测到的挥发性有机物的含量。Using the aforementioned thin-film sensor as the
(4)检测数据的图像处理方法:(4) Image processing method of detection data:
图5显示了一种图像识别的方法,用来诊断肺癌病人。一个肺癌病人理想的呼吸响应可以由标样结果(表1)来确定,如图5(a)所示。把这个虚拟传感器阵列的理想响应转换成极坐标表示,然后把肺癌病人的极坐标响应叠加上去,如图5(b)所示。最后计算每种VOC响应的重叠面积。Figure 5 shows an image recognition method used to diagnose lung cancer patients. The ideal respiratory response of a lung cancer patient can be determined from the standard sample results (Table 1), as shown in Figure 5(a). The ideal response of this virtual sensor array is transformed into a polar coordinate representation, and then the polar coordinate response of the lung cancer patient is superimposed on it, as shown in Fig. 5(b). Finally, the overlapping area of each VOC response was calculated.
(5)神经网络的设计:(5) Design of neural network:
每个VOC成分对应了1个参数,重叠面积。它包括两个信息量:频率响应(Hz)和保留时间(mim),频率响应指的是VOC的浓度而保留时间指的是该VOC成分的种类。因为定标了11种特征的VOC成分,所以从SAW传感器所得有11个输入数据,而输出的结果有3个,肺癌病人、健康人和疑似病人。人工神经网络采用的是BP-ANN。Each VOC component corresponds to a parameter, the overlapping area. It includes two information quantities: frequency response (Hz) and retention time (mim), frequency response refers to the concentration of VOC and retention time refers to the type of the VOC component. Because 11 kinds of characteristic VOC components are calibrated, there are 11 input data from the SAW sensor, and there are 3 output results, lung cancer patients, healthy people and suspected patients. The artificial neural network uses BP-ANN.
在神经网络训练时,定义了3个状态:第一,假如呼吸气体内不含有这11种肺癌特征VOC气体的为健康人;第二,假如呼吸气体内只含有这11种肺癌特征VOC气体的其中一种的为疑似病人;第三,假如呼吸气体内含有这11种肺癌特征VOC气体的种类超过2种以上的为肺癌病人。
检测仪器的原理The principle of detection equipment
延迟线声表面波传感器有质量沉积效应,当有物质沉积在延迟线上时,会改变声波的传播速度,从而改变传感器的振荡频率,当传感器表面的有机薄膜吸附气体中的挥发性有机物时,传感器频率发生变化。通过检测传感器的频率变化,就可以换算出挥发性有机物的含量。The delay line surface acoustic wave sensor has a mass deposition effect. When a substance is deposited on the delay line, it will change the propagation speed of the sound wave, thereby changing the oscillation frequency of the sensor. When the organic film on the surface of the sensor absorbs volatile organic compounds in the gas, The sensor frequency has changed. By detecting the frequency change of the sensor, the content of volatile organic compounds can be converted.
气相色谱毛细管柱具有理想的时间分离特性,传感器响应的保留时间与每个化学成分经过毛细管柱的时间相关联,由于不同的化学成分在毛细管柱内部涂覆膜里面运动的速率不同,毛细管柱能把注入口处的气体样本内的化学成分分离成一个个独立的成分。通过对每个响应保留时间的计算,就可以检测出每种挥发性有机物。这样就完成了对挥发性有机物定性和定量的检测。The capillary column of gas chromatography has ideal time separation characteristics. The retention time of the sensor response is related to the time for each chemical component to pass through the capillary column. Since different chemical components move at different rates in the coating film inside the capillary column, the capillary column can Separate the chemical components in the gas sample at the injection port into individual components. By calculating the retention time of each response, each VOC can be detected. In this way, the qualitative and quantitative detection of volatile organic compounds is completed.
仪器的特性Characteristics of the instrument
(1)稳定性(1) Stability
仪器在25分钟内的基线如图6所示,采样为每秒13个点。波动在100Hz以内,通常我们的检测时间为13分钟。该结果表明仪器具有较高的稳定性。The baseline of the instrument over a period of 25 minutes is shown in Figure 6, sampled at 13 points per second. The fluctuation is within 100Hz, usually our detection time is 13 minutes. This result shows that the instrument has high stability.
(2)检测灵敏度(2) Detection sensitivity
图7显示仪器在检测肺癌患者呼吸气体时的频谱响应。它对苯乙烯响应的灵敏度为3.24ng/Hz。Figure 7 shows the spectral response of the instrument when detecting the breath gas of a lung cancer patient. Its sensitivity to styrene response is 3.24ng/Hz.
(3)检测仪器的特性曲线及其特性参数(3) The characteristic curve and characteristic parameters of the testing instrument
检测仪器对癸烷的标准响应曲线如图8所示。对每种挥发性有机物都有不同的检测下限,其中最好的检测下限为对苯乙烯的1×10-8mol/L。传感器的响应时间小于3秒(响应时间指到达峰值所用时间),浓度高时相对略慢些。并且当测量高浓度VOC后,再测量低浓度时,没有发现明显的浓度迟滞效应现象。该薄膜传感器能长时间,反复使用,而且具有良好的重复性,这也是该传感的一个特点。The standard response curve of the detection instrument to decane is shown in Figure 8. There are different detection limits for each volatile organic compound, and the best detection limit is 1×10 -8 mol/L of p-styrene. The response time of the sensor is less than 3 seconds (the response time refers to the time taken to reach the peak value), and it is relatively slow when the concentration is high. And when the low concentration was measured after the high concentration VOC was measured, no obvious concentration hysteresis effect was found. The film sensor can be used repeatedly for a long time, and has good repeatability, which is also a characteristic of the sensor.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101334399B (en) * | 2008-07-15 | 2012-06-27 | 重庆大学 | Portable device for pulmonary cancer diagnosis |
| CN103168233A (en) * | 2010-12-01 | 2013-06-19 | 浙江大学 | Integrated analysis device for simultaneously detecting exhaled breath condensates (ebcs) and volatile organic compounds (vocs) in human exhaled breath |
| CN105167776A (en) * | 2014-11-26 | 2015-12-23 | 深圳市一体医疗科技有限公司 | Lung monitoring system |
| CN106796217A (en) * | 2014-07-21 | 2017-05-31 | 泰克年研究发展基金会公司 | For the composition of directly breathing sampling |
| CN114088650A (en) * | 2022-01-24 | 2022-02-25 | 常州复睿特生物科技有限公司 | CRDS lung cancer molecular marker detection device |
-
2005
- 2005-01-26 CN CN 200520100325 patent/CN2778198Y/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101334399B (en) * | 2008-07-15 | 2012-06-27 | 重庆大学 | Portable device for pulmonary cancer diagnosis |
| CN103168233A (en) * | 2010-12-01 | 2013-06-19 | 浙江大学 | Integrated analysis device for simultaneously detecting exhaled breath condensates (ebcs) and volatile organic compounds (vocs) in human exhaled breath |
| CN106796217A (en) * | 2014-07-21 | 2017-05-31 | 泰克年研究发展基金会公司 | For the composition of directly breathing sampling |
| CN105167776A (en) * | 2014-11-26 | 2015-12-23 | 深圳市一体医疗科技有限公司 | Lung monitoring system |
| CN114088650A (en) * | 2022-01-24 | 2022-02-25 | 常州复睿特生物科技有限公司 | CRDS lung cancer molecular marker detection device |
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