Real-time Refrigeration Turbidimetry for Discrimination of Refined Peanut oils

Su Rui; Feng Xudong; Yu Aimin; Zhang Hanqi; Wang Xinghua

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Real-time Refrigeration Turbidimetry for Discrimination of Refined Peanut oils

Su Rui 1 #,Feng Xudong 1,Yu Aimin 2,Zhang Hanqi 1,Wang Xinghua 1 * #

1.College of Chemistry, Jilin University, Changchun 130012

2.Changchun Jilin University Little Swan Instruments Co., ltd, Changchun 130012

*Correspondence author

#Submitted by

Subject:

Funding: Financial support from Specialized Research Fund for the Doctoral Program of Higher Education （No.SRFDP, NO. 20070183093）

Opened online:17 December 2010

Accepted by: none

Citation: Su Rui,Feng Xudong,Yu Aimin.Real-time Refrigeration Turbidimetry for Discrimination of Refined Peanut oils[OL]. [17 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4397182

In this paper, real-time refrigeration turbidimetry and common multivariate analysis techniques, including principal component analysis (PCA) and partial least squares (PLS), were applied for discrimination and purity assessment of the refined peanut oil (RPO) adulterated with other less expensive seed oils. A special turbidimeter was developed. The curves of turbidity vs. refrigeration time for 182 samples were constructed and analyzed by PCA and PLS methods. Discrimination of a certain pure RPO and its adulterated samples was achieved successfully by calculating and comparing the Euclidean or Minkowski distance of their first two principal components obtained with PCA. The PLS method was used to assess the purity of all samples. 46 real RPO samples were determinated using the methods mentioned above and gas chromatography (GC) method. The results indicated that real-time refrigeration turbidimetry and multivariate analysis techniques could discriminate and assess the purity of RPO samples efficiently and rapidly.

Keywords:real-time refrigeration turbidimetry; multivariate analysis; adulteration; purity; refined peanut oil

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