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Techniques for quantifying chemicals concealed behind clothing using near infrared spectroscopy
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Saleem, Aamer, Canal, Céline M., Hutchins, David A., Davis, Lee A. J. and Green, Roger (2011) Techniques for quantifying chemicals concealed behind clothing using near infrared spectroscopy. Analytical Methods, Vol.3 (No.10). pp. 2298-2306. doi:10.1039/c1ay05301a ISSN 1759-9660.
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Official URL: http://dx.doi.org/10.1039/c1ay05301a
Abstract
The detection of specific chemicals when concealed behind a layer of clothing is reported using near infrared (NIR) spectroscopy. It is found that concealment modifies the spectrum of a particular chemical when recorded at stand-off ranges of three meters in a diffuse reflection experiment. Chemometric analysis of the spectra has been performed with neural network-based pattern recognition/classification to deal with this problem. Neural networks help to overcome nonlinearities within the calibration/training dataset, affording more robust modelling. The work has been shown to both allow detection of specific chemicals concealed behind a single intervening layer of fabric material, and to estimate the concentration of hydrogen peroxide using partial least squares regression (PLSR).
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Journal or Publication Title: | Analytical Methods | ||||
Publisher: | Royal Society of Chemistry | ||||
ISSN: | 1759-9660 | ||||
Official Date: | 2011 | ||||
Dates: |
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Volume: | Vol.3 | ||||
Number: | No.10 | ||||
Page Range: | pp. 2298-2306 | ||||
DOI: | 10.1039/c1ay05301a | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
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