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Remote Fiber-Optic Raman Analysis of Xylene Isomers in Mock Petroleum Fuels Using a Low-Cost Dispersive Instrument and Partial Least-Squares Regression Analysis

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Abstract:

We report the use of a low-cost dispersive Raman instrument with charge-coupled-device (CCD) detection, near-infrared (near-IR) diode laser excitation, and remote fiber-optic sampling to analyze mock petroleum samples which contain high benzene, toluene, ethylbenzene, and xylene (BTEX) concentrations. Partial least-squares regression (PLSR) analysis is used to correlate the individual xylene isomer concentrations to the Raman spectral signal without the use of an internal standard. The resulting PLSR model is used to predict the concentration of individual xylene isomers, and it is found that, at a 95% confidence level, samples containing between ~1.5 and 15% xylene isomer can be predicted to better than ±0.1% for meta- and para-xylene, and to ±0.15% for ortho-xylene. The use of PLS model leverage plots provides a facile statistical method by which to identify Raman spectra which involve diode laser mode hops or significant fiber backscatter.

Keywords: Chemometrics; Fiber optic; Fuel; Multivariate analysis; Partial least-squares (PLS); Petroleum; Raman spectroscopy; Remote sensing; Xylene

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/0003702953964147

Affiliations: 1: Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia 23529 2: Research and Development Department, Ashland Petroleum Company, Ashland, Kentucky 41114

Publication date: May 1, 1995

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