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Multicomponent quantification with a novel method applied to gradient gas sensor microarray signal patterns

delete2007-10-20
delete7
PRE
AI
J
J. Goschnick *
D
Daniel Haeringer
I
I. Kiselev
DOI:10.1016/j.snb.2007.07.057delete
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Abstract

Abstract

En 中文
Industrial monitoring can be performed efficiently by an electronic nose (EN) not only in case of direct gas analysis but also if liquids have to be analysed for volatile components. The control of a binary biocide mixture contained in oil-water emulsions is presented as an example for a multicomponent quantification. A carrier gas was bubbled through the lubricant emulsion at elevated temperature to enhance the evaporation of the two biocide components to be determined by a gradient gas sensor microarray. A linear discriminant analysis trained with well-defined model mixtures showed a reasonable multicomponent quantification with a special two-dimensional interpolation. (c) 2007 Elsevier B.V. All rights reserved.
Keywords:
gradient gas sensor microarray
metal oxide gas sensing
multivariate data analysis
multicomponent quantification
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Journal

Sensors and Actuators B-Chemical cover
Sensors and Actuators B-Chemical
IF:
7.7
Papers:
3.3W
Citations:
12.6W

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