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基于化学阻抗传感器的电子鼻系统在食品质量和环境监测方面的最新进展展望。

An Outlook of Recent Advances in Chemiresistive Sensor-Based Electronic Nose Systems for Food Quality and Environmental Monitoring.

机构信息

Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, The Australian National University, Canberra 2601, Australia.

Laboratory of Advanced Biomaterials, Research School of Chemistry and the John Curtin School of Medical Research, The Australian National University, Canberra 2601, Australia.

出版信息

Sensors (Basel). 2021 Mar 24;21(7):2271. doi: 10.3390/s21072271.

DOI:10.3390/s21072271
PMID:33804960
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8036444/
Abstract

An electronic nose (Enose) relies on the use of an array of partially selective chemical gas sensors for identification of various chemical compounds, including volatile organic compounds in gas mixtures. They have been proposed as a portable low-cost technology to analyse complex odours in the food industry and for environmental monitoring. Recent advances in nanofabrication, sensor and microcircuitry design, neural networks, and system integration have considerably improved the efficacy of Enose devices. Here, we highlight different types of semiconducting metal oxides as well as their sensing mechanism and integration into Enose systems, including different pattern recognition techniques employed for data analysis. We offer a critical perspective of state-of-the-art commercial and custom-made Enoses, identifying current challenges for the broader uptake and use of Enose systems in a variety of applications.

摘要

电子鼻(Enose)依赖于使用阵列的部分选择性化学气体传感器来识别各种化合物,包括气体混合物中的挥发性有机化合物。它们被提议作为一种便携式低成本技术,用于分析食品工业中的复杂气味和环境监测。最近在纳米制造、传感器和微电路设计、神经网络和系统集成方面的进展极大地提高了 Enose 设备的功效。在这里,我们重点介绍了不同类型的半导体金属氧化物及其传感机制,并将其集成到 Enose 系统中,包括用于数据分析的不同模式识别技术。我们对最先进的商业和定制 Enose 进行了批判性的观察,确定了 Enose 系统在各种应用中更广泛采用和使用的当前挑战。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7785/8036444/aefa164b8b7f/sensors-21-02271-g009.jpg
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