FOOD SCIENCE ›› 2010, Vol. 31 ›› Issue (6): 205-207.doi: 10.7506/spkx1002-6630-201006048

• Analysis & Detection • Previous Articles     Next Articles

Near-infrared Spectroscopic Analysis of Peroxide Value of Soybean Oil

WANG Li-qi1,ZHANG Li-yong1,*,ZHU Xiu-chao2   

  1. (1. School of Measurement-Control Tech and Communications Engineering, Harbin University of Science and Technology, Harbin
    150086, China;2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, China)
  • Received:2009-05-31 Revised:2009-09-11 Online:2010-03-15 Published:2010-12-29
  • Contact: ZHANG Li-yong1 E-mail:hlgzly@163.com

Abstract:

In this study, peroxide values of 255 soybean oil samples measured by iodimetric assay were used for calibration and near-infrared spectral data of these samples were collected. In the quantitative analysis of peroxide value, three models were established using partial least squares regression (PLS-regression), multiple linear regression (MLR) and principal component regression (PCR). Comparative analysis indicated that among the established models, PLS-regression model exhibited the best reliability in predicting peroxide value of soybean oil, with correlation coefficients of calibration and validation sets of 0.916 and 0.922, respectively.

Key words: near-infrared spectroscopy, soybean oil, peroxide value

CLC Number: