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 J.. (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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