Dymerski T M, Chmiel T M, Wardencki W
Department of Analytical Chemistry, Gdansk University of Technology, 11/12 G. Narutowicza Str., 80-233 Gdańsk, Pomerania, Poland.
Rev Sci Instrum. 2011 Nov;82(11):111101. doi: 10.1063/1.3660805.
This work examines gas sensor array technology combined with multivariate data processing methods and demonstrates a promising potential for rapid, non-destructive analysis of food. Main attention is focused on detailed description of sensor used in e-nose instruments, construction, and principle of operation of these systems. Moreover, this paper briefly reviews the progress in the field of artificial olfaction and future trends in electronic nose technology, namely, e-nose based on mass spectrometry. Further discussion concerns a comparison of artificial nose with gas chromatography-olfactometry and the application of e-nose instruments in different areas of food industry.
这项工作研究了结合多变量数据处理方法的气体传感器阵列技术，并展示了其在食品快速无损分析方面的巨大潜力。主要关注点在于对电子鼻仪器中使用的传感器、这些系统的构造和工作原理进行详细描述。此外，本文简要回顾了人工嗅觉领域的进展以及电子鼻技术的未来趋势，即基于质谱的电子鼻。进一步的讨论涉及人工鼻与气相色谱 - 嗅觉测量法的比较以及电子鼻仪器在食品工业不同领域的应用。
