首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >A quick responding quartz crystal microbalance sensor array based on molecular imprinted polyacrylic acids coating for selective identification of aldehydes in body odor
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A quick responding quartz crystal microbalance sensor array based on molecular imprinted polyacrylic acids coating for selective identification of aldehydes in body odor

机译:基于分子印迹聚丙烯酸涂层的快速响应石英微天平传感器阵列,用于选择性识别体味中的醛

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In present work, a novel quartz crystal microbalance (QCM) sensor array has been developed for prompt identification of primary aldehydes in human body odor. Molecularly imprinted polymers (MIP) are prepared using the polyacrylic acid (PAA) polymer matrix and three organic acids (propenoic acid, hexanoic acid and octanoic acid) as template molecules, and utilized as QCM surface coating layer. The performance of MIP films is characterized by 4-element QCM sensor array (three coated with MIP layers and one with pure PAA for reference) dynamic and static responses to target aldehydes: hexanal, heptanal, and nonanal in single, binary, and tertiary mixtures at distinct concentrations. The target aldehydes were selected subsequent to characterization of body odor samples with solid phase-micro extraction gas chromatography mass spectrometer (SPME-GC-MS). The hexanoic acid and octanoic acid imprinted PAA exhibit fast response, and better sensitivity, selectivity and reproducibility than the propenoic acid, and non-imprinted PAA in array. The response time and recovery time for hexanoic acid imprinted PAA are obtained as 5 s and 12 s respectively to typical concentrations of binary and tertiary mixtures of aldehydes using the static response. Dynamic sensor array response matrix has been processed with principal component analysis (PCA) for visual, and support vector machine (SVM) classifier for quantitative identification of target odors. Aldehyde odors were identified successfully in principal component (PC) space. SVM classifier results maximum recognition rate 79% for three classes of binary odors and 83% including single, binary, and tertiary odor classes in 3-fold cross validation. (C) 2014 Elsevier B.V. All rights reserved.
机译:在目前的工作中,已经开发出一种新颖的石英晶体微量天平(QCM)传感器阵列,用于迅速识别人体内气味中的主要醛。使用聚丙烯酸(PAA)聚合物基质和三种有机酸(丙酸,己酸和辛酸)作为模板分子制备分子印迹聚合物(MIP),并将其用作QCM表面涂层。 MIP薄膜的性能以4元素QCM传感器阵列(三层涂覆MIP层,一层纯PAA作为参考)对目标醛:己醛,庚醛和壬醛的单,二元和三元混合物的动态和静态响应为特征。在不同的浓度。在使用固相微萃取气相色谱质谱仪(SPME-GC-MS)表征体臭样品后,选择目标醛。己酸和辛酸印迹的PAA与阵列中的丙烯酸和非印迹PAA相比,显示出快速响应,更好的灵敏度,选择性和重现性。使用静态响应,对己酸印记的PAA的响应时间和恢复时间分别为5秒和12秒,分别对应于典型的二元和叔醛混合物浓度。动态传感器阵列响应矩阵已通过主成分分析(PCA)进行了视觉处理,并采用了支持向量机(SVM)分类器进行了目标气味的定量识别。在主成分(PC)空间中成功识别出醛类气味。在三折交叉验证中,SVM分类器对三种二元气味类别的最高识别率为79%,对于单一,二元和第三级气味类别,则为83%。 (C)2014 Elsevier B.V.保留所有权利。

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