使用电子鼻测定三元气体混合物的气味相互作用
Determination of Odour Interactions of Three-Component Gas Mixtures Using an Electronic Nose.
作者信息
Szulczyński Bartosz, Namieśnik Jacek, Gębicki Jacek
机构信息
Department of Chemical and Process Engineering, Faculty of Chemistry, Gdansk University of Technology, 11/12 G. Narutowicza Str., 80233 Gdańsk, Poland.
Department of Analytical Chemistry, Faculty of Chemistry, Gdansk University of Technology, 11/12 G. Narutowicza Str., 80233 Gdańsk, Poland.
出版信息
Sensors (Basel). 2017 Oct 18;17(10):2380. doi: 10.3390/s17102380.
The paper presents an application of an electronic nose prototype comprised of six TGS-type sensors and one PID-type sensor to identify odour interaction phenomena in odorous three-component mixtures. The investigation encompassed eight odorous mixtures-toluene-acetone-triethylamine and formaldehyde-butyric acid-pinene-characterized by different odour intensity and hedonic tone. A principal component regression (PCR) calibration model was used for evaluation of predicted odour intensity and hedonic tone. Correctness of identification of odour interactions in the odorous three-component mixtures was determined based on the results obtained with the electronic nose. The results indicated a level of 75-80% for odour intensity and 57-73% for hedonic tone. The average root mean square error of prediction amounted to 0.03-0.06 for odour intensity determination and 0.07-0.34 for hedonic tone evaluation of the odorous three-component mixtures.
本文介绍了一种由六个TGS型传感器和一个PID型传感器组成的电子鼻原型在识别有气味的三组分混合物中气味相互作用现象方面的应用。该研究涵盖了八种有气味的混合物——甲苯-丙酮-三乙胺和甲醛-丁酸-蒎烯，它们具有不同的气味强度和享乐色调。使用主成分回归（PCR）校准模型来评估预测的气味强度和享乐色调。基于电子鼻获得的结果确定了有气味的三组分混合物中气味相互作用识别的正确性。结果表明，气味强度的识别水平为75%-80%，享乐色调的识别水平为57%-73%。对于有气味的三组分混合物，气味强度测定的平均预测均方根误差为0.03-0.06，享乐色调评估的平均预测均方根误差为0.07-0.34。
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