CN203365324U - Diabetes detection device based on CRDS (cavity ring-down spectroscopy) - Google Patents
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Abstract
本实用新型涉及糖尿病的检测，更具体地说，涉及一种基于腔衰荡光谱技术的糖尿病检测方法和装置。它具体包括驱动控制模块、LED、光学器件模块、滤光片、微型气体隔膜泵、光学谐振腔、三通气阀、软管、透镜、探测器、信息处理模块。一般正常人呼出的气体中丙酮气体浓度为5ppm，相比糖尿病患者呼出气体中丙酮气体浓度(40-500ppm)则低了很多。本实用新型利用腔衰荡光谱技术具有的高探测灵敏度(检测丙酮气体极限可达到0.2ppm)，确保了检测糖尿病结果的准确性。本实用新型装置简单、对人无创伤、灵敏度高、稳定性好，可以非常准确快速地诊断出病人是否患有糖尿病。
The utility model relates to the detection of diabetes, in particular to a method and device for detecting diabetes based on cavity ring-down spectrum technology. It specifically includes drive control modules, LEDs, optical device modules, optical filters, micro gas diaphragm pumps, optical resonant cavities, three-way air valves, hoses, lenses, detectors, and information processing modules. Generally, the concentration of acetone gas in the exhaled gas of normal people is 5ppm, which is much lower than the concentration of acetone gas (40-500ppm) in the exhaled gas of diabetic patients. The utility model utilizes the high detection sensitivity of the cavity ring-down spectrum technology (the detection limit of the acetone gas can reach 0.2ppm), which ensures the accuracy of the detection result of diabetes. The utility model has the advantages of simple device, no trauma to people, high sensitivity and good stability, and can diagnose whether a patient suffers from diabetes very accurately and quickly.
Description
技术领域 technical field
本实用新型涉及糖尿病的检测，更具体地说，涉及一种基于腔衰荡光谱技术的糖尿病检测方法和装置。 The utility model relates to the detection of diabetes, in particular to a method and device for detecting diabetes based on cavity ring-down spectrum technology. the
背景技术Background technique
随着经济的快速发展，人民生活水平的提高，近年来世界各国糖尿发病率均在迅速上升。糖尿病的危害主要来自并发症，并发症可引发患者全身多处脏器的功能障碍，也可导致感染、心脏病变、脑血管病变、肾功能衰减、双目失明、下肢坏疽等。糖尿病及其并发症不仅直接威胁着患者的健康及生命，同时也造成了国家和个人的人力和财力的损失，成为人类社会发展的巨大障碍。因此，糖尿病如何快速、无创伤、准确地检测是当今医学界面临的重大课题。 With the rapid development of the economy and the improvement of people's living standards, the incidence of diabetes in various countries in the world has been increasing rapidly in recent years. The hazards of diabetes mainly come from complications. Complications can cause dysfunction of multiple organs in the patient's body, and can also lead to infection, heart disease, cerebrovascular disease, renal function decline, blindness in both eyes, and gangrene of the lower limbs. Diabetes and its complications not only directly threaten the health and life of patients, but also cause the loss of human and financial resources of the country and individuals, and become a huge obstacle to the development of human society. Therefore, how to detect diabetes quickly, non-invasively and accurately is a major issue facing the medical field today. the
目前，医学界用于检测糖尿病主要有以下两类方法： At present, there are two main types of methods used in the medical field to detect diabetes:
一是血糖检测，血糖检测主要包括有创血糖检测法、微创血糖检测法、无创血糖检测法。有创血糖检测法是使用血糖仪，病人用针扎破手指，然后使用一次性的试纸条吸取手指破处渗出的微量血液，最后将试纸条插入血糖仪中读取数据并判断是否患有糖尿病，此方法虽然操作简易、方便，但血糖的测量范围受试纸的检测范围的限制，不能够精确测量，并且每次取血过程都给病人带来疼痛，且存在感染的风险，最主要的是该方法不能连续检测，无法达到实时监测血糖浓度。微创血糖检测法，目前主流的微创血糖浓度检测技术都是利用电刺、电化学等，提取人体的组织液、眼泪等与葡萄糖浓度相关的体液，然后使用各种传感技术测量这些体液中的葡萄糖含量，最后根据医学已经证明的这些体液中葡萄糖浓度与血液中葡萄糖浓度的相关性，进而推断出人体血液中葡 萄糖的浓度，但是由于费用高，使用不方便，需要定标等因素，无法广泛使用。无创血糖检测法主要是利用光谱分析技术进行血糖浓度检测，这种方法改变了传统有创血糖检测的弊端，不会造成人体任何创伤，避免了病毒通过血液传染的危险，并且可以实现血糖的连续动态检测，但由于血糖浓度变化的光谱信号非常微弱，且与人体皮肤、其它组织、血液成份等人体内非血糖组成的光谱信号重叠，因此信号难以采集，又由于个体差异大，很难用统一的数学模型来修正。 The first is blood glucose testing, which mainly includes invasive blood glucose testing, minimally invasive blood glucose testing, and noninvasive blood glucose testing. Invasive blood glucose testing method is to use a blood glucose meter. The patient pricks his finger with a needle, then uses a disposable test strip to absorb the tiny amount of blood exuded from the broken finger, and finally inserts the test strip into the blood glucose meter to read the data and judge whether it is People with diabetes, although this method is simple and convenient to operate, but the measurement range of blood sugar is limited by the detection range of the test paper, it cannot be measured accurately, and each blood collection process brings pain to the patient, and there is a risk of infection. The main thing is that this method cannot continuously detect and cannot achieve real-time monitoring of blood glucose concentration. Minimally invasive blood glucose detection method, the current mainstream minimally invasive blood glucose concentration detection technology uses electric stimulation, electrochemistry, etc. to extract body fluids related to glucose concentration, such as human tissue fluid and tears, and then uses various sensing technologies to measure the concentration of glucose in these body fluids. Finally, according to the correlation between the glucose concentration in these body fluids and the glucose concentration in the blood that has been proved by medicine, the concentration of glucose in human blood can be deduced, but due to the high cost, inconvenient use, calibration and other factors , cannot be widely used. The non-invasive blood sugar detection method mainly uses spectral analysis technology to detect blood sugar concentration. This method changes the disadvantages of traditional invasive blood sugar detection, does not cause any trauma to the human body, avoids the risk of virus infection through blood, and can achieve continuous blood sugar. Dynamic detection, but because the spectral signal of blood sugar concentration changes is very weak and overlaps with the spectral signals of human skin, other tissues, blood components, etc. mathematical model to correct. the
二是呼吸气体检测，呼吸气体检测主要包括气相色谱检测法、选择离子流动管质谱检测法、电子鼻技术检测法。气相色谱检测法已经成功的被应用到检测呼出的气体中丙酮含量，但由于气相色谱检测法其定性能力较差，因此其需要结合其他检测器在线联用才能够进行更精确的分析，并且价格昂贵。选择离子流动管质谱检测法虽然可以对人体呼出的丙酮进行在线检测，但是由于人体呼出微量气体种类繁多，导致了其不可避免的形成了许多离子性簇化物，使所得图谱过于复杂，增加了解析的难度。电子鼻技术检测法装置便携、操作简单、实用性强，但是电子鼻的传感器阵列通常是以电信号作为检测的信号进行分析，这样往往受到环境因素影响很大并且传感器易与呼出气体中的其他气体发生反应，影响检测结果。 The second is respiratory gas detection. Respiratory gas detection mainly includes gas chromatography detection method, selected ion flow tube mass spectrometry detection method, and electronic nose technology detection method. Gas chromatography detection method has been successfully applied to detect acetone content in exhaled gas, but due to the poor qualitative ability of gas chromatography detection method, it needs to be combined with other detectors online to perform more accurate analysis, and the price expensive. Although the selected ion flow tube mass spectrometry detection method can detect acetone exhaled by the human body online, due to the wide variety of trace gases exhaled by the human body, many ionic clusters are inevitably formed, which makes the obtained spectrum too complicated and increases the analysis. difficulty. The detection method of electronic nose technology is portable, easy to operate, and highly practical. However, the sensor array of the electronic nose usually uses electrical signals as the detection signal for analysis, which is often greatly affected by environmental factors and the sensor is easy to interact with other substances in the exhaled gas. The gas reacts and affects the test results. the
实用新型内容 Utility model content
针对上述现有技术中存在的缺陷，本实用新型装置简单、对人无创伤、灵敏度高、稳定性好，可以非常准确快速地检测出病人是否患有糖尿病。 Aiming at the defects in the above-mentioned prior art, the utility model has a simple device, no trauma to people, high sensitivity and good stability, and can detect whether a patient suffers from diabetes very accurately and quickly. the
本实用新型的工作原理如下： The working principle of the utility model is as follows:
一般正常人呼出气体中丙酮气体浓度为5ppm，但是对于糖尿病患者随着大量脂肪消耗，血液中酮体也在不断的积聚，从而导致人酮酸中毒，同时由于血 液中的酮体浓度过大，进一步导致酮体经血管壁参透到肺泡中，经呼吸系统排出体外，则呼出气体中丙酮气体浓度(40-500ppm)高了很多，利用腔衰荡吸收光谱具有的高探测灵敏度(检测丙酮气体极限可达到0.2ppm)，确保了检测糖尿病结果的准确性。 Generally, the concentration of acetone gas in the exhaled breath of normal people is 5ppm, but for diabetic patients, as a large amount of fat is consumed, ketone bodies in the blood are also constantly accumulating, which leads to human ketoacidosis. At the same time, due to the excessive concentration of ketone bodies in the blood , and further lead to ketone bodies penetrating into the alveoli through the blood vessel wall, and excreted through the respiratory system, the concentration of acetone gas in the exhaled gas (40-500ppm) is much higher, and the high detection sensitivity (detection of acetone gas) The limit can reach 0.2ppm), which ensures the accuracy of the detection of diabetes results. the
假设腔长为L，腔内介质的吸收系数为α，入射光强为I0，腔镜反射率为R，由此可以计算出透射光强I(t)为： Assuming that the cavity length is L, the absorption coefficient of the medium in the cavity is α, the incident light intensity is I 0 , and the reflectivity of the cavity mirror is R, the transmitted light intensity I(t) can be calculated as:
其中，衰减寿命 Among them, the decay life
c为真空中的光速。通常用于腔衰荡实验的腔镜反射率R＞0.999，则式(2)可以近似为： c is the speed of light in vacuum. The cavity mirror reflectivity R>0.999 usually used in cavity ring-down experiments, then formula (2) can be approximated as:
令空腔的寿命为： Let the lifetime of the cavity be:
通过测量样品气体充入前后的寿命，则可以实现对样品气体吸收系数的绝对测量，即： By measuring the lifetime before and after the sample gas is filled, the absolute measurement of the sample gas absorption coefficient can be realized, namely:
利用α＝nσ以及p＝nkT，其中，n为气体浓度，σ为样品吸收截面，k为波尔兹曼常数，p气体压强，T为温度，由此可以计算出样品气体浓度。 Using α=nσ and p=nkT, where n is the gas concentration, σ is the sample absorption cross section, k is the Boltzmann constant, p is the gas pressure, and T is the temperature, thus the sample gas concentration can be calculated. the
本实用新型是一种基于腔衰荡光谱技术的糖尿病检测装置，具体包括驱动控制模块、LED、光学器件模块、滤光片、微型气体隔膜泵、光学谐振腔、三 通气阀、软管、透镜、探测器、信息处理模块。首先打开微型气体隔膜泵和三通气阀，三通气阀经驱动控制模块控制打开N2通气口，通入N2清洗光学谐振腔内残留的其它气体。然后LED经驱动控制模块调制，发射出特定中心波长的探测光，丙酮气体在此条件下，吸收强、没干扰，探测光稳定后，先后通过光学器件模块和滤光片，入射到光学谐振腔内，经过光学谐振腔透射出来的光再经透镜聚焦至探测器，探测器接收到的光信号转化为电信号，转化后的电信号传输至信息处理模块并显示空腔衰减寿命数据。三通气阀经驱动控制模块控制打开样品气体通气口，病人通过软管连续向腔内吹气，探测光入射到有样品气体的光学谐振腔内，光学谐振腔透射光再经透镜聚焦至探测器，探测器接收到的光信号转化为电信号传输至信息处理模块并显示腔衰减寿命数据。最后在信息处理模块中显示出病人呼出气体中丙酮的浓度，并根据这一值确定病人是否患有糖尿病。 The utility model is a diabetes detection device based on cavity ring-down spectrum technology, which specifically includes a drive control module, LED, an optical device module, an optical filter, a micro gas diaphragm pump, an optical resonant cavity, a three-way air valve, a hose, and a lens. , detectors, and information processing modules. Firstly, the micro gas diaphragm pump and the three-way air valve are opened, and the three-way air valve is controlled by the drive control module to open the N2 air port, and N2 is introduced to clean other gases remaining in the optical resonant cavity. Then the LED is modulated by the drive control module to emit the detection light of a specific central wavelength. Under this condition, the acetone gas has strong absorption and no interference. After the detection light is stable, it passes through the optical device module and the filter and enters the optical resonant cavity. Inside, the light transmitted through the optical resonant cavity is focused to the detector through the lens, and the optical signal received by the detector is converted into an electrical signal, and the converted electrical signal is transmitted to the information processing module and displays the cavity attenuation life data. The three-way valve is controlled by the drive control module to open the sample gas vent, the patient blows air into the cavity continuously through the hose, the detection light is incident into the optical resonant cavity with sample gas, and the transmitted light from the optical resonant cavity is focused to the detector through the lens , the optical signal received by the detector is converted into an electrical signal and transmitted to the information processing module to display the cavity decay lifetime data. Finally, the concentration of acetone in the patient's exhaled gas is displayed in the information processing module, and it is determined whether the patient suffers from diabetes according to this value.
进一步的，所述驱动控制模块，包括电源控制模块、信号发生器、三通气阀控制电路。 Further, the drive control module includes a power control module, a signal generator, and a three-way air valve control circuit. the
进一步的，所述光学器件模块，包括耦合透镜、光纤、两个反射镜、消色差透镜。 Further, the optical device module includes a coupling lens, an optical fiber, two mirrors, and an achromatic lens. the
进一步的，所述LED，发射出特定中心波长，波长范围为[260-300nm]，丙酮气体在此条件下，吸收强。 Further, the LED emits a specific central wavelength in the range of [260-300nm], and the acetone gas absorbs strongly under this condition. the
进一步的，所述光学谐振腔，由两块镀有高反射膜的凹面镜所组成，腔镜反射率R＞0.999，LED发出的探测光的波长处在腔镜的高反区内。 Further, the optical resonant cavity is composed of two concave mirrors coated with a high reflection film, the reflectivity of the cavity mirrors is R>0.999, and the wavelength of the detection light emitted by the LED is in the high reflection region of the cavity mirrors. the
上述一种基于腔衰荡光谱技术的糖尿病检测装置，装置简单、对人无创伤、灵敏度高、稳定性好，可以非常准确快速地诊断出病人是否患有糖尿病。 The above-mentioned diabetes detection device based on cavity ring-down spectroscopy technology has a simple device, is non-invasive to humans, has high sensitivity and good stability, and can diagnose whether a patient suffers from diabetes very accurately and quickly. the
附图说明 Description of drawings
附图为本实用新型的结构示意图。 Accompanying drawing is the structural representation of the utility model. the
其中：包括驱动控制模块 1、LED2、光学器件模块 3、滤光片 4、微型气体隔膜泵 5、光学谐振腔 6、三通气阀 7、软管 8、透镜 9、探测器 10、信息处理模块 11。
Among them: including drive control module 1, LED2,
具体实施方式 Detailed ways
参阅附图，使用腔衰荡光谱技术的糖尿病检测装置时，首先打开微型气体隔膜泵5和三通气阀7，三通气阀7经驱动控制模块1控制打开N2通气口，通入N2清洗光学谐振腔6内残留的其它气体。然后LED2经驱动控制模块1调制，发射出特定中心波长的探测光，丙酮气体在此条件下，吸收强、没干扰，探测光稳定后，先后通过光学器件模块3和滤光片4，入射到光学谐振腔6内，经过光学谐振腔6透射出来的光再经透镜9聚焦至探测器10，探测器10接收到的光信号转化为电信号，转化后的电信号传输至信息处理模块11并显示空腔衰减寿命数据。三通气阀7经驱动控制模块1控制打开样品气体通气口，病人通过软管8连续向腔内吹气，探测光入射到有样品气体的光学谐振腔6内，光学谐振腔6透射光再经透镜9聚焦至探测器10，探测器10接收到的光信号转化为电信号传输至信息处理模块11并显示腔衰减寿命数据。最后在信息处理模块中处理分析上面获得的两组数据并显示出病人呼出气体中丙酮的浓度，并根据这一值确定病人是否患有糖尿病。
Referring to the accompanying drawings, when using the diabetes detection device with cavity ring-down spectroscopy technology, firstly open the
以上所述仅为本实用新型的具体实施例，但本实用新型的技术特征并不局限于此，任何本领域的技术人员在本实用新型的领域内，所作的变化或修饰皆涵盖在本实用新型的专利范围之中。 The above is only a specific embodiment of the utility model, but the technical characteristics of the utility model are not limited thereto, and any changes or modifications made by those skilled in the art within the scope of the utility model are all covered by the utility model. In the scope of the new patent. the
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104406930A (en) * | 2014-12-04 | 2015-03-11 | 天津大学 | Spectral analysis-based traditional Chinese medicine auscultation device |
| CN105044010A (en) * | 2015-07-15 | 2015-11-11 | 大连理工大学 | An Absorption Spectroscopy Device for Measuring the Concentration of Trace Particles in Plasma |
| CN105241828A (en) * | 2015-08-19 | 2016-01-13 | 苏州华和呼吸气体分析研究所有限公司 | CRDS acetone breath analyzer for noninvasively measuring blood ketone body level |
| WO2017092614A1 (en) * | 2015-12-01 | 2017-06-08 | 苏州谱道光电科技有限公司 | Mirror for optical resonator, optical resonator, and spectrometer |
| CN109839477A (en) * | 2017-11-24 | 2019-06-04 | 内蒙古光能科技有限公司 | A kind of method that CRDS gas concentration detector accelerates measurement |
| CN111912833A (en) * | 2020-07-20 | 2020-11-10 | 苏州星帆华镭光电科技有限公司 | Enhancement mode laser-induced breakdown spectroscopy appearance of distinguishable carbon isotope |
| CN112697733A (en) * | 2020-12-29 | 2021-04-23 | 浙江华电器材检测研究所有限公司 | Trace gas sampling device and method for cavity ring-down spectrometer |
| CN113576475A (en) * | 2021-08-02 | 2021-11-02 | 浙江师范大学 | Non-contact blood glucose measurement method based on deep learning |
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2013
- 2013-04-22 CN CN 201320242888 patent/CN203365324U/en not_active Expired - Fee Related
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104406930A (en) * | 2014-12-04 | 2015-03-11 | 天津大学 | Spectral analysis-based traditional Chinese medicine auscultation device |
| CN105044010A (en) * | 2015-07-15 | 2015-11-11 | 大连理工大学 | An Absorption Spectroscopy Device for Measuring the Concentration of Trace Particles in Plasma |
| CN105241828A (en) * | 2015-08-19 | 2016-01-13 | 苏州华和呼吸气体分析研究所有限公司 | CRDS acetone breath analyzer for noninvasively measuring blood ketone body level |
| WO2017092614A1 (en) * | 2015-12-01 | 2017-06-08 | 苏州谱道光电科技有限公司 | Mirror for optical resonator, optical resonator, and spectrometer |
| CN109839477A (en) * | 2017-11-24 | 2019-06-04 | 内蒙古光能科技有限公司 | A kind of method that CRDS gas concentration detector accelerates measurement |
| CN111912833A (en) * | 2020-07-20 | 2020-11-10 | 苏州星帆华镭光电科技有限公司 | Enhancement mode laser-induced breakdown spectroscopy appearance of distinguishable carbon isotope |
| CN112697733A (en) * | 2020-12-29 | 2021-04-23 | 浙江华电器材检测研究所有限公司 | Trace gas sampling device and method for cavity ring-down spectrometer |
| CN112697733B (en) * | 2020-12-29 | 2024-06-25 | 浙江华电器材检测研究所有限公司 | Micro-gas sampling device and method for optical cavity ring-down spectrometer |
| CN113576475A (en) * | 2021-08-02 | 2021-11-02 | 浙江师范大学 | Non-contact blood glucose measurement method based on deep learning |
| CN113576475B (en) * | 2021-08-02 | 2023-04-21 | 浙江师范大学 | Deep learning-based contactless blood glucose measurement method |
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