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SAW sensor array for wine discrimination
DOI:10.1016/j.snb.2004.10.013.png)
摘要
En 中文
A surface acoustic wave (SAW) sensor array has been developed in order to discriminate Spanish wine coming from different grape varieties and elaboration processes. Sensors were coated with diverse thicknesses of polyepichlorohydrin (PECH), polyetherurethane (PEUT) and polydimethylsiloxane (PDMS). Linear techniques as principal component analysis (PCA) and linear discriminant analysis (LDA) and non-linear ones as probabilistic neural networks (PNN) have been used for pattern recognition. A classification success rate of 86% has been achieved. (c) 2004 Elsevier B.V. All rights reserved.
Keyword:
SAW sensor array
wine discrimination
polymer films
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期刊
IF:
7.7
论文数:
3.4W
被引数:
12.6W
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暂无机构信息
引用论文
Method for unknown vapor characterization and classification using a multivariate sorption detector. Initial derivation and modeling based on polymer-coated acoustic wave sensor arrays and linear solvation energy relationships
ANALYTICAL CHEMISTRY
IF6.7
Inverse least-squares modeling of vapor descriptors using polymer-coated surface acoustic wave sensor array responses
ANALYTICAL CHEMISTRY
IF6.7

