电子鼻研究进展及在中国白酒检测的应用

Review of electronic-nose technologies and application for Chinese liquor identification

  • 摘要: 基于传感器技术、信号处理技术和模式识别技术发展起来的电子鼻技术是过去二十年中发展最为迅速的气相分析和气体检测技术之一,它已逐渐在生物医学、环境监测、农业生产、食品检测等多个领域得到应用.电子鼻是利用对待测气体具有交叉敏感性的传感器阵列将待测气体中的混杂气味组分信息转化为与时间、成分、浓度或含量相关的可测物理信号组,利用信号采集系统输出含有待测气体特征信息的数字信号,通过模式识别系统分析数字信号得到待测气体综合气味信息和隐含特征,实现对待测气体快速、系统、准确的鉴别和分析.本文综述了电子鼻技术中的传感器技术和模式识别技术及在中国白酒品牌鉴定、风味识别、酒龄检测方面的最新研究进展;以聚合物石英压电传感器型电子鼻为例,阐明该电子鼻的技术方案及其在中国白酒检测中的应用;展望电子鼻未来研究方向.

     

    Abstract: Due to their sensitivity to a wide diversity of volatile gases, electronic noses are ideal instruments for measuring and monitoring odors and they are being applied in agricultural production testing, biological medicine detection, environmental monitoring, and food testing. An electronic nose (E-nose) utilizes a sensor array to provide a fingerprint response to a given odor, using pattern recognition software to identify and discriminate between odors. Each sensor in the array behaves like a receptor by responding to different odors to varying degrees. The changes are then transduced into electrical signals, which are preprocessed and conditioned before identification by a pattern recognition system. In this paper, recent electronic-nose systems and algorithms are reviewed which developed over the past two decades that have potential applications for detecting Chinese liquors, including brand identification, flavor detection, and the prediction of the ages. In addition, the technical design scheme and the application were detailed for the polymer quartz piezoelectric sensor E-nose.

     

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