Raman spectroscopy for quanitification of polydimethylsiloxane concentration in turbid samples

Anthony Joseph Durkin; Marwood N. Ediger; L. Stephanie Matchette; George H. Pettit M.D.

doi:10.1117/12.273520

7 May 1997 Raman spectroscopy for quanitification of polydimethylsiloxane concentration in turbid samples

Anthony Joseph Durkin, Marwood N. Ediger, L. Stephanie Matchette, George H. Pettit M.D.

Proceedings Volume 2980, Advances in Fluorescence Sensing Technology III; (1997) https://doi.org/10.1117/12.273520
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States

Abstract

This paper presents a preliminary application of Raman spectroscopy in conjunction with the chemometric method of Partial Least Squares to predict silicone concentrations in homogeneous turbid samples. The chemometric technique is applied to Raman spectra to develop an empirical, linear model relating sample spectra to polydimethysiloxane (silicone) concentration. This is done using a training set of samples having optical properties and known concentrations representative of those unknown samples to be predicted. Partial Least Squares, performed via cross- validation, was able to predict silicone concentrations in good agreement with true values. The detection limit obtained for this preliminary investigation is on par with that of magnetic resonance spectroscopy. The data acquisition time for this Raman based method is 200 seconds, which compares favorably with the 17 hour acquisition required for magnetic resonance spectroscopy to obtain a similar sensitivity. The combination of Raman spectroscopy and chemometrices shows promise as a tool for quantification of silicone concentrations from turbid samples.

Citation Download Citation

Anthony Joseph Durkin, Marwood N. Ediger, L. Stephanie Matchette, and George H. Pettit M.D. "Raman spectroscopy for quanitification of polydimethylsiloxane concentration in turbid samples", Proc. SPIE 2980, Advances in Fluorescence Sensing Technology III, (7 May 1997); https://doi.org/10.1117/12.273520

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