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Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 17,
  • Issue 2,
  • pp. 59-67
  • (2009)

Rapid Detection of Melamine in Milk Powder by near Infrared Spectroscopy

Open Access Open Access

Abstract

This paper establishes a novel and rapid method for detecting pure melamine in milk powder using near infrared (NIR) spectroscopy based on least squares-support vector machine (LS-SVM). Partial least square discriminant analysis (PLS-DA) was used for the extraction of principal components (PCs). The scores of the first two PCs have been applied as inputs to LS-SVM. Compared to PLS-DA, the performance of LS-SVM was better, with higher classification accuracy, both 100% for the training and testing set. The detection limit was lower than 1 ppm. Based on the results, it was concluded that NIR spectroscopy combined with LS-SVM could be used as a rapid and accurate method for detecting pure melamine in milk powder.

© 2009 IM Publications LLP

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