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Peptides DNA and MIPs in Gas Sensing. From the Realization of the Sensors to Sample Analysis

机译:肽DNA和MIPS在气体传感中。从实现传感器来样本分析

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摘要

Detection and monitoring of volatiles is a challenging and fascinating issue in environmental analysis, agriculture and food quality, process control in industry, as well as in ‘point of care’ diagnostics. Gas chromatographic approaches remain the reference method for the analysis of volatile organic compounds (VOCs); however, gas sensors (GSs), with their advantages of low cost and no or very little sample preparation, have become a reality. Gas sensors can be used singularly or in array format (e.g., e-noses); coupling data output with multivariate statical treatment allows un-target analysis of samples headspace. Within this frame, the use of new binding elements as recognition/interaction elements in gas sensing is a challenging hot-topic that allowed unexpected advancement. In this review, the latest development of gas sensors and gas sensor arrays, realized using peptides, molecularly imprinted polymers and DNA is reported. This work is focused on the description of the strategies used for the GSs development, the sensing elements function, the sensors array set-up, and the application in real cases.
机译:挥发物的检测和监测是环境分析,农业和食品质量,工业过程控制的挑战性和迷人的问题,以及“护理点”诊断。气相色谱方法仍然是分析挥发性有机化合物(VOC)的参考方法;然而,气体传感器(GSS),具有低成本和没有或非常小的样品制备的优点,已成为现实。气体传感器可以单独使用或以阵列格式(例如,电子鼻子);具有多变量静态处理的耦合数据输出允许对样品的未靶向分析。在该帧中,使用新的绑定元素作为气体感应中的识别/交互元素是一个挑战的热门话题,允许意外的进步。在本文中,报道了使用肽实现的气体传感器和气体传感器阵列的最新开发,分子印迹聚合物和DNA。这项工作专注于对GSS开发的策略描述,传感元素函数,传感器阵列设置以及实际情况下的应用程序的描述。

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