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W. F. C. Rocha, B. G. Vaz, G. F. Sarmanho, L. H. C. Leal, R. Nogueira, V. F. Silva and C. N. Borges, “Chemometric Techniques Applied for Classification and Quantification of Binary Biodiesel/Diesel Blends,” Analytical Letters, Vol. 45, No. 16, 2012, pp. 2398-2411. doi:10.1080/00032719.2012.686135

has been cited by the following article:

• TITLE: Near-Infrared Spectroscopy Coupled with Kernel Partial Least Squares-Discriminant Analysis for Rapid Screening Water Containing Malathion

  AUTHORS: Congying Gu, Bingren Xiang, Yilong Su, Jianping Xu

  KEYWORDS: Kernel Partial Least Squares-Discriminant Analysis; Near-Infrared Spectroscopy; Malathion; Water

  JOURNAL NAME: American Journal of Analytical Chemistry, Vol.4 No.3, March 27, 2013

  ABSTRACT: Near-infrared spectroscopy coupled with kernel partial least squares-discriminant analysis was used to rapidly screen water containing malathion. In the wavenumber of 4348 cm-1 to 9091 cm-1, the overall correct classification rate of kernel partial least squares-discriminant analysis was 100% for training set, and 100% for test set, with the lowest concentration detected malathion residues in water being 1 μg·ml-1. Kernel partial least squares-discriminant analysis was able to have a good performance in classifying data in nonlinear systems. It was inferred that Near-infrared spectroscopy coupled with the kernel partial least squares-discriminant analysis had a potential in rapid screening other pesticide residues in water.