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Quantifying Biodiesel Impurities Using Fourier-Transformed Near-Infrared Spectroscopy

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  141888206,  2014 Montreal, Quebec Canada July 13 – July 16, 2014. (doi: 10.13031/aim.20141888206) @2014
Authors:   Marcelo Coronado, Wenqiao Yuan, Donghai Wang
Keywords:   Biodiesel, Nir, Spectroscopy, Methanol, Water, Triglycerides, Glycerol.

Abstract. This work reports the use of near-infrared (NIR) spectroscopy to determine the content of free glycerin, triglycerides, water, and methanol in biodiesel. Partial least square regression (PLSR) modeling method was used for calibration based on six different types of biodiesel (methyl esters of palm oil, soybean oil, corn oil, peanut oil, olive oil, and canola oil) containing the four impurities above mentioned in certain ranges. All samples were scanned on an FT-IR spectrometer, and specific prediction models for methanol, water, free glycerin, and triglycerides were developed when all impurities were present. The results showed that the near-infrared spectroscopy were able to predict the amount of four impurities in the biodiesel when all impurities were present in biodiesel. Pre-treatment of the data by Savitzky-Golay’s second derivative was necessary to achieve reasonable accuracy. The root mean square error of prediction (RMSEP) for methanol, water, triglycerides, and glycerol models were 177, 93, 932, and 54 mg kg-1, respectively.

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