纸基阵列传感芯片的制备和可视化检测应用研究

发布时间：2019-02-16 21:05

【摘要】：阵列式比色传感检测是一种模仿哺乳动物的嗅觉和味觉系统,利用各种指示剂(p H指示剂、氧化还原指示剂、气致或溶致变色指示剂、金属卟啉及金属指示剂及置换染料等)阵列与分析物之间的交叉响应形成的指纹图谱,实现对多种物质及复杂混合物的识别方法,具有操作简单、快速、装置小型化的优点。但传统的阵列比色传感器通常以石英、玻璃、硅片以及PVDF膜等作为基底材料,不仅制作成本高,且一次性的使用会加大环境的负荷,不利于推广使用。此外,由于每种指示剂染料的扩散能力及受基底材料的影响程度不同,以致于制备到上述几种传统的基底材料的染料阵列通常大小不一、形态各异,甚至传感单元相互重叠,从而影响反应前后阵列点的图像信息,导致检测结果的准确性和稳定性不高。因此急需寻找一种廉价、清洁,并可以限制阵列点大小,适合用于阵列比色传感器的基底材料。本论文通过对滤纸进行改性,让每个传感单元间形成隔水坝以克服滤纸强烈的毛细管作用力造成的溶液不规则扩散,将反应限定在固定区域中,使得传感单元不相互影响。将制作好的滤纸片作为传感器的基底材料,并验证了这种传感器对气体和液体样品的检测能力。论文主要内容包括:①设计和制作紫外光自组装选择性亲疏水滤纸片,并优化了制作条件,建立以滤纸片为基底材料的阵列可视化传感器,并比较了分别以滤纸片和PVDF膜为基底材料的两种传感器的实际检测能力。实验结果表明,滤纸硅烷化的最佳时间为30min,紫外清洗灯灯最适合的清洗高度为6cm,最佳光照时间为1.5h,以滤纸片为基底的阵列比色传感器分别对氨气和氨水的检测能力和稳定性均比以PVDF膜为基底的传感器要好,可用于实际样品的检测。②制备纸基传感阵列芯片,对四种不同体积分数的肺癌呼出气体标志物进行比色检测。通过实验室自主开发出的可视化传感检测系统得到稳定的指纹图谱,用主成份分析(PCA)和聚类分析(HCA)两种数学方法对图像信息进行分析,结果表明,这种滤纸阵列芯片能够很好地区分肺癌呼出气体标志物,证实了滤纸片作为阵列式传感器基底材料的可行性。③运用指示剂置换的方法检测目标物质,相比传统的广谱识别的染料指示剂,不仅选择性好,而且抗干扰能力强。因此,筛选出3种金属指示剂置换染料,合并实验室前期研究的卟啉衍生物指示剂,构建4乘4共计16个敏感阵列点的滤纸芯片,对8种氨基酸标准品和肺癌细胞代谢液进行比色检测和探索。通过用主成份分析(PCA)、聚类分析(HCA)和判别式分析(LDA)三种数学方法对图像信息进行分析,结果表明,这种阵列比色传感器能够很好地区分8种氨基酸标准样品及肺癌细胞和正常肺上皮细胞,相信这种滤纸传感芯片在比色检测领域有广阔应用空间。
[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.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：R440

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