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-Reference-Cited by-同舟云学术

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

Published:1999-09-18 Issue:20 Volume:71 Page:4544-4553
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Grate Jay W.¹,Wise Barry M.²,Abraham Michael H.³

Affiliation:

1. Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352

2. Eigenvector Research, Inc., 830 Wapato Lake Road, Manson, Washington 98831

3. Chemistry Department, University College London, London WCIH OAJ United Kingdom

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac990336v

Reference85 articles.

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2. Smart sensor system for trace organophosphorus and organosulfur vapor detection employing a temperature-controlled array of surface acoustic wave sensors, automated sample preconcentration, and pattern recognition

3. Solubility interactions and the design of chemically selective sorbent coatings for chemical sensors and arrays

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