基于固相微萃取(SPME)的几种纤维涂层在葡萄酒鉴别中的应用比较

IEEE Sensors, 2005. Pub Date : 2005-10-31 DOI:10.1109/ICSENS.2005.1597955

J. Lozano, J.P. Santos, J. Gutiérrez, M. C. Horrillo

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引用次数: 3

摘要

对几种用于电子鼻固相微萃取的纤维涂层进行了比较。使用了四种不同类型的纤维涂层:100母聚二甲基硅氧烷(PDMS)， 65母聚二甲基硅氧烷/二乙烯苯(PDMS/DVB)， 85母聚丙烯酸酯和75母碳/聚二甲基硅氧烷(CAR/PDMS)。通过更换色谱柱，将含有二氧化锡多传感器的电池安装在与气相色谱仪进样器相连的色谱仪烘箱内。五种不同的葡萄酒样品，以原产地名称(O.D.)的大多数品种精心制作。“Vinos de Madrid”已被用于测试系统的识别能力。采用多元主成分分析(PCA)和人工神经网络(ANN)对数据进行判别

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Comparison among several fiber coating for a solid phase microextraction (SPME) based electronic nose applied to wine discrimination

A comparison among several types of fiber coatings for solid-phase micro-extraction applied to an electronic nose is performed. Four different types of fiber coating have been used: 100 mum polydimethylsiloxane (PDMS), 65 mum polydimethylsiloxane/divinylbenzene (PDMS/DVB), 85 mum polyacrilate and 75 mum carboxen/polydimetilsiloxane (CAR/PDMS). The cell containing a tin dioxide multisensor was mounted inside the chromatograph oven connected to the gas chromatograph injector, by replacing the chromatographic column. Samples of five different wines elaborated with the majority varieties of the origin denomination (O.D.) "Vinos de Madrid" have been used for testing the discrimination capability of the system. Multivariate analyses as principal component analysis (PCA) and artificial neural networks (ANN) have been applied to the data to discriminate among the different wine samples

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IEEE Sensors, 2005.

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