Supervised semi-automated data analysis software for gas chromatography / differential mobility spectrometry (GC/DMS) metabolomics applications-Reference-Cited by-同舟云学术

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Supervised semi-automated data analysis software for gas chromatography / differential mobility spectrometry (GC/DMS) metabolomics applications

Published:2016-05-20 Issue:2-3 Volume:19 Page:155-166
ISSN:1435-6163
Container-title:International Journal for Ion Mobility Spectrometry
language:en
Short-container-title:Int. J. Ion Mobil. Spec.

Author:

Peirano Daniel J.,Pasamontes Alberto,Davis Cristina E.

Funder

National Science Foundation

Citrus Research Board

Hartwell Foundation

U.S. Army

National Institutes of Health

United States Department of Veterans Affairs, Post-9/11 GI-Bill

Publisher

Springer Science and Business Media LLC

Subject

Spectroscopy

Link

http://link.springer.com/content/pdf/10.1007/s12127-016-0200-9.pdf

Reference34 articles.

1. Cumeras R, Figueras E, Davis CE, Baumbach JI, Gracia I (2015) Review on Ion mobility spectrometry. Part 1: current instrumentation. Analyst 140:1376–1390. doi: 10.1039/c4an01100g

2. Cumeras R, Figueras E, Davis CE, Baumbach JI, Gracia I (2015) Review on ion mobility spectrometry. Part 2: hyphenated methods and effects of experimental parameters. Analyst 140:1391–1410. doi: 10.1039/c4an01101e

3. Davis CE et al. (2010) Analysis of volatile and non-volatile biomarkers in human breath using differential mobility spectrometry (DMS). IEEE Sensors J 10:114–122. doi: 10.1109/jsen.2009.2033562

4. Krylov EV, Coy SL, Vandermey J, Schneider BB, Covey TR, Nazarov EG (2010) Selection and generation of waveforms for differential mobility spectrometry. Rev Sci Instrum:81. doi: 10.1063/1.3284507

5. Manard M, Weeks S, Kyle K (2008) Monitoring/verification using DMS: TATP example 2008 I.E. conference on technologies for homeland security, vols 1 and 2:226–230 doi: 10.1109/ths.2008.4534454

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