Real-time Refrigeration Turbidimetry for Discrimination of Refined Peanut oils
首发时间:2010-12-17
Abstract: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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采用实时冷冻比浊法鉴定掺假精炼花生油
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