Techniques for quantifying chemicals concealed behind clothing using near infrared spectroscopy
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. ISSN 1759-9660Full text not available from this repository.
Official URL: http://dx.doi.org/10.1039/c1ay05301a
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|
|Divisions:||Faculty of Science > Engineering|
|Journal or Publication Title:||Analytical Methods|
|Publisher:||Royal Society of Chemistry|
|Page Range:||pp. 2298-2306|
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