A MULTISENSOR SYSTEM FOR BEER FLAVOR MONITORING USING AN ARRAY OF CONDUCTING POLYMERS AND PREDICTIVE CLASSIFIERS
A MULTISENSOR SYSTEM FOR BEER FLAVOR MONITORING USING AN ARRAY OF CONDUCTING POLYMERS AND PREDICTIVE CLASSIFIERS
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DOI：
10.1016/0925-4005(94)87089-6
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发表时间：
1994-03-01
影响因子：
8.4
通讯作者：
BLAIR, N
中科院分区：
文献类型：
--
作者：
GARDNER, JW;PEARCE, TC;BLAIR, N
本文介绍了由英国政府和工业界联合资助的一个为期三年的项目的结果，该项目旨在开发一种能够区分不同啤酒香气的多传感器系统。该系统由多达 24 个导电聚合物传感器（电沉积到微电极结构上的薄膜）组成。导电聚合物在这些电导气味传感器中提供了活性层，并对啤酒和啤酒的顶部空间做出不同的响应。接口电路和信号调节已在基于 Eurorack 的多传感器系统中的定制 PCB 中设计和实现。我们开发了一套全面的软件模块来自动化采样系统并处理传感器阵列数据。使用各种算法（例如，电导的分数变化、归一化相对响应）对聚合物阵列的输出进行预处理，然后使用统计（化学计量指纹技术）或神经预测分类器（使用反向传播学习的多层感知器）进行分类。气味传感系统可以区分细微的污点，例如仅含有九种不同导电聚合物的乙醇溶液中的 0.5 ppm 二乙酰。
This paper describes the results of a three year project, jointly funded by the UK government and industry, to develop a multisensor system capable of discriminating between the aromas of different beers. The system consists of an array of up to 24 conducting polymer sensors (thin films electrodeposited onto a microelectrode structure). The conducting polymers provide the active layer in these conductometric odour sensors and respond differentially to the headspaces of beers and lagers. The interface circuitry and signal conditioning have been designed and realized in custom PCBs housed in a Eurorack-based multisensor system. A comprehensive suite of software modules has been developed to automate the sampling system and process the sensor array data. The output from the polymer array is pre-processed using a variety of algorithms (e.g., fractional change in conductance, normalized relative response) and then classified using a statistical (chemometric fingerprinting technique) or neural predictive classifier (multi-layer perceptron using back-propagation learning). The odour-sensing system can distinguish subtle taints, e.g., 0.5 ppm of diacetyl in an ethanol solution with only nine different varieties of conducting polymers.