基于智能手机二维码式样的数字化比色检测法的研究

发布时间：2018-01-04 22:29

  本文关键词：基于智能手机二维码式样的数字化比色检测法的研究　出处：《太原理工大学》2017年硕士论文　论文类型：学位论文

  更多相关文章： 亚硝酸盐 智能手机检测系统 比色分析法 LEGO 纸基

【摘要】：随着科学技术的发展,智能手机由于其强大的数据处理功能、图像采集装置以及开放的应用平台等优势,受到人们的广泛青睐;二维码等条形码技术具有强大的信息采集与处理功能,将智能手机与条形码技术结合,开发新型的生化检测技术成为当前的研究热点之一。本文以智能手机为检测工具,结合二维码技术和显色反应原理开发了一种可用于比色分析的分子检测通用平台技术。由于传统二维码中纠错码较为复杂,不利于研究,我们编写了一个手机应用程序(App),删除了传统二维码中的纠错码,生成了用于生化检测的二维条形码,并利用该App对其进行解码分析;利用3D打印技术,打印所需二维阵列,分别以微流控纸芯片和3D打印的乐高(LEGO)模板为样品检测通道,将显色反应后的检测样品加入到通道中,形成“生物条形码”;当不含有待测物或者待测物浓度较低时,会导致条形码的解码结果发生改变,即阴性结果;当待测物浓度较高时,解码结果显示为阳性,然后利用手机App对其进行进一步的定量分析。过量的亚硝酸盐对人体具有极大的危害作用,本文以亚硝酸盐检测为例,将本检测方法分别与Photoshop软件和分光光度法进行对比,发现其检测结果与本检测方法相吻合,表明本方法是可行的。本论文的具体研究内容如下:1、利用LEGO可以自由拼接、组装的特点,结合3D打印技术打印同等大小的模块作为检测通道并与LEGO模块进行拼接组装,生成二维码样式的检测图案。2、利用自编的手机App生成用于检测的二维码图案,并将其打印在滤纸上,剪切纸基上二维码的反应通道,将显色反应后的样品加入到该通道中,待其干燥后,将该反应通道重新粘贴回二维码被剪掉的区域,形成实验所需的生物条形码,最后利用编写的手机App的扫码、解码功能实现水样中亚硝酸盐的快速定性检测。3、开发了一款用于定量比色分析法的智能手机检测系统,可用于阳性结果样品的进一步定量分析。系统根据二维码解码的结果,对检测通道区显色反应信息进行提取,通过已知的标准品浓度及对应的R、G、B值拟合出校准方程,并利用待测样品对应的R、G、B值与校准方程计算得出的样品的浓度值,并将此结果直接显示到手机界面上。4、利用智能手机检测系统实现了以亚硝酸盐为例的检测,检测范围为0-10 mg/L。同时我们将此手机App分别与传统的Photoshop软件和分光光度法进行对比,其结果呈现良好的一致性,从而验证了本方法的可行性。
[Abstract]:With the development of science and technology, smart phone is widely favored by people because of its powerful data processing function, image acquisition device and open application platform. Bar code technology, such as two-dimensional code, has powerful functions of information collection and processing, combining smart phone and bar code technology. The development of new biochemical detection technology has become one of the current research hotspots. In this paper, smart phone as a detection tool. A general platform technology of molecular detection for colorimetric analysis is developed based on the theory of two-dimensional code and color reaction. Because of the complexity of error-correcting codes in traditional two-dimensional codes, it is not conducive to research. We write a mobile phone application program, remove the error-correcting code from the traditional two-dimension code, generate the two-dimensional bar code for biochemical detection, and use the App to decode and analyze it. Using 3D printing technology, printing the required two-dimensional array, using microfluidic paper chip and 3D printed Lego (LEGO) template as the sample detection channel, the detection sample after color reaction was added to the channel. Form "biological bar code"; When the concentration of the object is low, the decoding result of the bar code will change, that is, the negative result. When the concentration of the substance under test is high, the decoding results show positive, and then use mobile phone App to further quantitative analysis. Excessive nitrite has a great harm to the human body. In this paper, nitrite detection as an example, the detection method was compared with Photoshop software and spectrophotometry, and found that the detection results are consistent with this method. The results show that this method is feasible. The specific research contents of this paper are as follows: 1. Using LEGO, we can assemble and assemble freely. Combined with 3D printing technology to print the same size of the module as the detection channel and assembly with the LEGO module to generate a two-dimensional code style detection pattern .2. The self-made mobile phone App is used to generate the QR code pattern for detection and print it on the filter paper. The reaction channel of the QR code is cut off on the paper base, and the color reaction sample is added to the channel after it is dried. The reaction channel is repasted back to the clipped area of the QR code to form the biological bar code required for the experiment. Finally, the scanning code of the mobile phone App is used. The decoding function realizes the rapid qualitative detection of nitrite in water samples. 3. A smart phone detection system for quantitative colorimetric analysis is developed. It can be used for further quantitative analysis of positive result samples. According to the results of QR code decoding, the information of color reaction in the detection channel is extracted, and the known standard concentration and the corresponding RGG are obtained. The calibration equation is fitted with the B value, and the concentration of the sample is calculated by using the RGG B value of the sample to be tested and the calibration equation, and the result is displayed directly on the interface of the mobile phone. 4. The detection of nitrite is realized by using smart phone detection system. The detection range is 0-10 mg / L. at the same time, we compare the mobile phone App with the traditional Photoshop software and spectrophotometry, and the results show good consistency. The feasibility of this method is verified.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.44;O657.3
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本文编号：1380411