Application of multivariate optical computing to simple near-infrared point measurements

Michael L. Myrick; Olusola O. Soyemi; M. V. Schiza; J. R. Farr; Fred Haibach; Ashley Greer; Hong Li; Ryan Priore

doi:10.1117/12.455161

7 February 2002 Application of multivariate optical computing to simple near-infrared point measurements

Michael L. Myrick, Olusola O. Soyemi, M. V. Schiza, J. R. Farr, Fred Haibach, Ashley Greer, Hong Li, Ryan Priore

Proceedings Volume 4574, Instrumentation for Air Pollution and Global Atmospheric Monitoring; (2002) https://doi.org/10.1117/12.455161
Event: Environmental and Industrial Sensing, 2001, Boston, MA, United States

Abstract

Quantitative multivariate spectroscopic methods seek spectral patterns that correspond to analyte concentrations even in the presence of interferents.By embedding a spectral pattern that corresponds to a target analyte in an interference filter in a beamsplitter arrangement;bulky and complex instrumentation can be eliminated with the goal of producing a field-portable instrument.A candidate filter design for an rganic analyte,of military interest,and an interferent is evaluated.

Citation Download Citation

Michael L. Myrick, Olusola O. Soyemi, M. V. Schiza, J. R. Farr, Fred Haibach, Ashley Greer, Hong Li, and Ryan Priore "Application of multivariate optical computing to simple near-infrared point measurements", Proc. SPIE 4574, Instrumentation for Air Pollution and Global Atmospheric Monitoring, (7 February 2002); https://doi.org/10.1117/12.455161

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