發(fā)布時間：2018-01-04 22:29

  本文關(guān)鍵詞：基于智能手機二維碼式樣的數(shù)字化比色檢測法的研究　出處：《太原理工大學》2017年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 亞硝酸鹽 智能手機檢測系統(tǒng) 比色分析法 LEGO 紙基

【摘要】：隨著科學技術(shù)的發(fā)展,智能手機由于其強大的數(shù)據(jù)處理功能、圖像采集裝置以及開放的應用平臺等優(yōu)勢,受到人們的廣泛青睞;二維碼等條形碼技術(shù)具有強大的信息采集與處理功能,將智能手機與條形碼技術(shù)結(jié)合,開發(fā)新型的生化檢測技術(shù)成為當前的研究熱點之一。本文以智能手機為檢測工具,結(jié)合二維碼技術(shù)和顯色反應原理開發(fā)了一種可用于比色分析的分子檢測通用平臺技術(shù)。由于傳統(tǒng)二維碼中糾錯碼較為復雜,不利于研究,我們編寫了一個手機應用程序(App),刪除了傳統(tǒng)二維碼中的糾錯碼,生成了用于生化檢測的二維條形碼,并利用該App對其進行解碼分析;利用3D打印技術(shù),打印所需二維陣列,分別以微流控紙芯片和3D打印的樂高(LEGO)模板為樣品檢測通道,將顯色反應后的檢測樣品加入到通道中,形成“生物條形碼”;當不含有待測物或者待測物濃度較低時,會導致條形碼的解碼結(jié)果發(fā)生改變,即陰性結(jié)果;當待測物濃度較高時,解碼結(jié)果顯示為陽性,然后利用手機App對其進行進一步的定量分析。過量的亞硝酸鹽對人體具有極大的危害作用,本文以亞硝酸鹽檢測為例,將本檢測方法分別與Photoshop軟件和分光光度法進行對比,發(fā)現(xiàn)其檢測結(jié)果與本檢測方法相吻合,表明本方法是可行的。本論文的具體研究內(nèi)容如下:1、利用LEGO可以自由拼接、組裝的特點,結(jié)合3D打印技術(shù)打印同等大小的模塊作為檢測通道并與LEGO模塊進行拼接組裝,生成二維碼樣式的檢測圖案。2、利用自編的手機App生成用于檢測的二維碼圖案,并將其打印在濾紙上,剪切紙基上二維碼的反應通道,將顯色反應后的樣品加入到該通道中,待其干燥后,將該反應通道重新粘貼回二維碼被剪掉的區(qū)域,形成實驗所需的生物條形碼,最后利用編寫的手機App的掃碼、解碼功能實現(xiàn)水樣中亞硝酸鹽的快速定性檢測。3、開發(fā)了一款用于定量比色分析法的智能手機檢測系統(tǒng),可用于陽性結(jié)果樣品的進一步定量分析。系統(tǒng)根據(jù)二維碼解碼的結(jié)果,對檢測通道區(qū)顯色反應信息進行提取,通過已知的標準品濃度及對應的R、G、B值擬合出校準方程,并利用待測樣品對應的R、G、B值與校準方程計算得出的樣品的濃度值,并將此結(jié)果直接顯示到手機界面上。4、利用智能手機檢測系統(tǒng)實現(xiàn)了以亞硝酸鹽為例的檢測,檢測范圍為0-10 mg/L。同時我們將此手機App分別與傳統(tǒng)的Photoshop軟件和分光光度法進行對比,其結(jié)果呈現(xiàn)良好的一致性,從而驗證了本方法的可行性。
[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.
【學位授予單位】：太原理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.44;O657.3
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本文編號：1380411