Application of Fourier Transform Infrared (FT-IR) Spectroscopy Combined with Chemometrics for Analysis of Rapeseed Oil Adulterated with Refining and Purificating Waste Cooking Oil

作者：Wu Zhen^*; Li Hong; Tu Dawei

来源：Food Analytical Methods, 2015, 8(10): 2581-2587.

DOI：10.1007/s12161-015-0149-z

• Rapeseed oil
• Waste cooking oil
• FT-IR
• Authentication
• Partial least squares
• Principle component regression

Currently, the detection of rapeseed oil (RSO) adulterated with refining and purificating waste cooking oil (WCO) is an attractive work for researchers in accordance with food safety all over the world particularly in China. There is a rapid increasing requirement for more accurate and sensitive detection method to cope the more subtle adulterations in edible oils. For this reason, Fourier transform infrared (FT-IR) spectroscopy in the combination with chemometrics was developed for detection and quantification of WCO as adulterants in RSO. The quantification of WCO was carried out by using multivariate calibrations of partial least squares (PLS) and principle component regression (PCR). PLS with first derivative FT-IR spectra was more suitable compared with PCR for quantification purposes with coefficient of determination (R (2)) higher than 0.998 and root mean square error of calibration (RMSEC) of 0.494 % (v/v). The PLS model was further used to predict the levels of WCO in independent samples for validation/prediction purpose. The proposed methodology is a useful tool to authenticate RSO adulterated with used WCO.

• 出版日期2015-11
• 单位重庆市中药研究院