8 May 1995 Application of multiplicative signal correction (MSC) to Raman spectra for use in an anesthetic sensor
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Abstract
In the development of a fiber optic Raman scattering, selective absorbent-based anesthetic sensor, chemometric analysis of the spectroscopic data must include a method for correction of both multiplicative and additive effects. Multiplicative signal correction (MSC) has been used effectively in near-infrared reflectance measurements to account for differing pathlengths. MSC performs a least-squares regression of each spectrum on a reference spectrum; it was successfully applied to both simulated and experimental Raman spectra. Raman spectra were obtained from dilute mixtures of the anesthetics halothane, isoflurane, and enflurane in perfluoropolyether oil. The C-H stretch peaks of the anesthetics were used by partial least squares (PLS) to distinguish between the anesthetics and predict their concentrations. The broad C-F band from the perfluoropolyether oil was used by MSC to approximate the multiplicative and additive coefficients for correction of the spectra. The MSC-corrected data yielded significantly better predicted residual error sum of squares values in PLS than the uncorrected data. These encouraging results show that MSC may be generally used in correcting for multiplicative and additive effects in spectra that include a peak from a substance that exists in approximately the same concentration throughout the work.
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Julie R. Parnell, Julie R. Parnell, Paul Yager, Paul Yager, "Application of multiplicative signal correction (MSC) to Raman spectra for use in an anesthetic sensor", Proc. SPIE 2388, Advances in Fluorescence Sensing Technology II, (8 May 1995); doi: 10.1117/12.208525; https://doi.org/10.1117/12.208525
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