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Proceedings Paper

Field applications of stand-off sensing using visible/NIR multivariate optical computing
Author(s): DeLyle Eastwood; Olusola O. Soyemi; Jeevanandra Karunamuni; Lixia Zhang; Hongli Li; Michael L. Myrick
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Paper Abstract

12 A novel multivariate visible/NIR optical computing approach applicable to standoff sensing will be demonstrated with porphyrin mixtures as examples. The ultimate goal is to develop environmental or counter-terrorism sensors for chemicals such as organophosphorus (OP) pesticides or chemical warfare simulants in the near infrared spectral region. The mathematical operation that characterizes prediction of properties via regression from optical spectra is a calculation of inner products between the spectrum and the pre-determined regression vector. The result is scaled appropriately and offset to correspond to the basis from which the regression vector is derived. The process involves collecting spectroscopic data and synthesizing a multivariate vector using a pattern recognition method. Then, an interference coating is designed that reproduces the pattern of the multivariate vector in its transmission or reflection spectrum, and appropriate interference filters are fabricated. High and low refractive index materials such as Nb2O5 and SiO2 are excellent choices for the visible and near infrared regions. The proof of concept has now been established for this system in the visible and will later be extended to chemicals such as OP compounds in the near and mid-infrared.

Paper Details

Date Published: 14 February 2001
PDF: 10 pages
Proc. SPIE 4199, Water, Ground, and Air Pollution Monitoring and Remediation, (14 February 2001); doi: 10.1117/12.417366
Show Author Affiliations
DeLyle Eastwood, Univ. of South Carolina (United States)
Olusola O. Soyemi, Univ. of South Carolina (United States)
Jeevanandra Karunamuni, Univ. of South Carolina (United States)
Lixia Zhang, Univ. of South Carolina (United States)
Hongli Li, Univ. of South Carolina (United States)
Michael L. Myrick, Univ. of South Carolina (United States)

Published in SPIE Proceedings Vol. 4199:
Water, Ground, and Air Pollution Monitoring and Remediation
Tuan Vo-Dinh; Robert L. Spellicy, Editor(s)

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