Literature DB >> 12659202

Portable gas chromatograph with tunable retention and sensor array detection for determination of complex vapor mixtures.

Chia-Jung Lu1, Joshua Whiting, Richard D Sacks, Edward T Zellers.   

Abstract

A prototype portable gas chromatograph that combines a multiadsorbent preconcentrator/focuser, a tandem-column separation stage with individual column temperature control and junction point pressure modulation, and a detector consisting of an integrated array of polymer-coated surface acoustic wave microsensors is described. Using scheduled first-column stop-flow intervals and independent temperature programming of the two columns, it is possible to adjust the retention of eluting analyte vapors to maximize vapor recognition with the microsensor array and minimize the time of analysis. A retention window approach is combined with Monte Carlo simulations to guide retention tuning requirements and facilitate pattern recognition analyses. The determination of a 30-vapor mixture of common indoor air contaminants in < 10 min is demonstrated using ambient air as the carrier gas. Detection limits of < 10 ppb are achieved for the majority of compounds from a 1-L air sample on the basis of the most sensitive sensor in the array. Performance is assessed in the context of near-real-time indoor air quality monitoring applications.

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Year:  2003        PMID: 12659202     DOI: 10.1021/ac026092n

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  The I/O transform of a chemical sensor.

Authors:  Nalin Katta; Douglas C Meier; Kurt D Benkstein; Steve Semancik; Baranidharan Raman
Journal:  Sens Actuators B Chem       Date:  2016-03-14       Impact factor: 7.460

2.  Sensitive detection of hydrocarbon gases using electrochemically Pd-modified ZnO chemiresistors.

Authors:  Elena Dilonardo; Michele Penza; Marco Alvisi; Gennaro Cassano; Cinzia Di Franco; Francesco Palmisano; Luisa Torsi; Nicola Cioffi
Journal:  Beilstein J Nanotechnol       Date:  2017-01-10       Impact factor: 3.649

  2 in total

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