【摘要】：陣列式比色傳感檢測是一種模仿哺乳動物的嗅覺和味覺系統(tǒng),利用各種指示劑(p H指示劑、氧化還原指示劑、氣致或溶致變色指示劑、金屬卟啉及金屬指示劑及置換染料等)陣列與分析物之間的交叉響應(yīng)形成的指紋圖譜,實現(xiàn)對多種物質(zhì)及復(fù)雜混合物的識別方法,具有操作簡單、快速、裝置小型化的優(yōu)點。但傳統(tǒng)的陣列比色傳感器通常以石英、玻璃、硅片以及PVDF膜等作為基底材料,不僅制作成本高,且一次性的使用會加大環(huán)境的負荷,不利于推廣使用。此外,由于每種指示劑染料的擴散能力及受基底材料的影響程度不同,以致于制備到上述幾種傳統(tǒng)的基底材料的染料陣列通常大小不一、形態(tài)各異,甚至傳感單元相互重疊,從而影響反應(yīng)前后陣列點的圖像信息,導(dǎo)致檢測結(jié)果的準確性和穩(wěn)定性不高。因此急需尋找一種廉價、清潔,并可以限制陣列點大小,適合用于陣列比色傳感器的基底材料。本論文通過對濾紙進行改性,讓每個傳感單元間形成隔水壩以克服濾紙強烈的毛細管作用力造成的溶液不規(guī)則擴散,將反應(yīng)限定在固定區(qū)域中,使得傳感單元不相互影響。將制作好的濾紙片作為傳感器的基底材料,并驗證了這種傳感器對氣體和液體樣品的檢測能力。論文主要內(nèi)容包括:①設(shè)計和制作紫外光自組裝選擇性親疏水濾紙片,并優(yōu)化了制作條件,建立以濾紙片為基底材料的陣列可視化傳感器,并比較了分別以濾紙片和PVDF膜為基底材料的兩種傳感器的實際檢測能力。實驗結(jié)果表明,濾紙硅烷化的最佳時間為30min,紫外清洗燈燈最適合的清洗高度為6cm,最佳光照時間為1.5h,以濾紙片為基底的陣列比色傳感器分別對氨氣和氨水的檢測能力和穩(wěn)定性均比以PVDF膜為基底的傳感器要好,可用于實際樣品的檢測。②制備紙基傳感陣列芯片,對四種不同體積分數(shù)的肺癌呼出氣體標志物進行比色檢測。通過實驗室自主開發(fā)出的可視化傳感檢測系統(tǒng)得到穩(wěn)定的指紋圖譜,用主成份分析(PCA)和聚類分析(HCA)兩種數(shù)學(xué)方法對圖像信息進行分析,結(jié)果表明,這種濾紙陣列芯片能夠很好地區(qū)分肺癌呼出氣體標志物,證實了濾紙片作為陣列式傳感器基底材料的可行性。③運用指示劑置換的方法檢測目標物質(zhì),相比傳統(tǒng)的廣譜識別的染料指示劑,不僅選擇性好,而且抗干擾能力強。因此,篩選出3種金屬指示劑置換染料,合并實驗室前期研究的卟啉衍生物指示劑,構(gòu)建4乘4共計16個敏感陣列點的濾紙芯片,對8種氨基酸標準品和肺癌細胞代謝液進行比色檢測和探索。通過用主成份分析(PCA)、聚類分析(HCA)和判別式分析(LDA)三種數(shù)學(xué)方法對圖像信息進行分析,結(jié)果表明,這種陣列比色傳感器能夠很好地區(qū)分8種氨基酸標準樣品及肺癌細胞和正常肺上皮細胞,相信這種濾紙傳感芯片在比色檢測領(lǐng)域有廣闊應(yīng)用空間。
[Abstract]:Array colorimetric detection is a mammalian olfactory and taste system, using various indicators (p H indicators, redox indicators, gas induced or discoloration indicators, The fingerprint of the cross-response between metalloporphyrin and metal indicator and substitute dyes) array and analyte can be used to identify various substances and complex mixtures. It has the advantages of simple operation, fast operation and miniaturization of the device. However, traditional array colorimetric sensors usually use quartz, glass, silicon and PVDF film as substrate materials, which not only produce high cost, but also increase the environmental load when used once, which is not conducive to popularization. In addition, because of the different diffusivity of each indicator dye and its influence on the substrate material, the dye arrays used to prepare the above-mentioned traditional substrate materials are usually of different sizes and shapes, and even the sensing units overlap with each other. Therefore, the image information of the array points before and after the reaction is affected, and the accuracy and stability of the detection results are not high. Therefore, it is urgent to find a cheap, clean and suitable substrate material for array colorimetric sensors, which can limit the size of array points. In this paper, the filter paper is modified to form a barrier dam between each sensing unit to overcome the irregular diffusion caused by the strong capillary force of the filter paper, and to limit the reaction to a fixed region, so that the sensing unit does not interact with each other. The filter paper was used as the substrate material of the sensor, and the ability of the sensor to detect the gas and liquid samples was verified. The main contents of this paper are as follows: (1) Design and manufacture of UV self-assembled selective hydrophobic filter paper, and optimize the fabrication conditions, and establish an array visualization sensor based on filter paper. The detection ability of two kinds of sensors based on filter paper and PVDF film were compared. The experimental results show that the optimum time for silanization of filter paper is 30 min, the optimum cleaning height for UV cleaning lamp is 6 cm, and the optimum illumination time is 1.5 h. The ability and stability of the array colorimetric sensor based on filter paper to detect ammonia gas and ammonia water is better than that of PVDF film sensor, which can be used for the detection of practical samples. 2 Paper-based sensor array chips are prepared. Four kinds of breath gas markers of lung cancer with different volume fraction were detected by colorimetry. The stable fingerprint is obtained by the visual sensing detection system developed by the laboratory. The image information is analyzed by two mathematical methods, principal component analysis (PCA) and clustering analysis (HCA). The results show that, The filter paper array chip can distinguish the gas marker of lung cancer well, which proves the feasibility of filter paper as the substrate material of array sensor. 3 the method of indicator replacement is used to detect the target substance. Compared with the traditional dye indicator of broad spectrum recognition, it not only has better selectivity, but also has strong anti-interference ability. Therefore, three kinds of metal indicator replacement dyes were selected and combined with porphyrin derivative indicator studied in laboratory, and a filter paper chip with 4 times 4 sensitive array points was constructed. Eight standard amino acids and metabolites of lung cancer cells were detected and explored by colorimetry. Three mathematical methods, principal component analysis (PCA),) clustering analysis (HCA) and discriminant analysis (LDA), are used to analyze the image information. The results show that, The array colorimetric sensor can distinguish 8 kinds of amino acid standard samples from lung cancer cells and normal lung epithelial cells. It is believed that the filter paper sensor chip has a wide application in the field of colorimetric detection.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：R440

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