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Spectroscopy
Volume 26, Issue 2, Pages 105-114
http://dx.doi.org/10.3233/SPE-2011-0520

Comparison of partial least squares and artificial neural network chemometric techniques in determination of sulfamethoxazole and trimethoprim in pharmaceutical suspension by ATR–FTIR spectrometry

M. Khanmohammadi,1 N. Dallali,2 A. Bagheri Garmarudi,1,3 M. Zarnegar,2 and K. Ghasemi1

1Department of Chemistry, Faculty of Science, Imam Khomeini International University, Qazvin, Iran
2Department of Chemistry, Faculty of Science, Zanjan University, Zanjan, Iran
3Department of Chemistry and Polymer Laboratory, Engineering Research Institute, Tehran, Iran

Copyright © 2011 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

M. Khanmohammadi, N. Dallali, A. Bagheri Garmarudi, M. Zarnegar, and K. Ghasemi, “Comparison of partial least squares and artificial neural network chemometric techniques in determination of sulfamethoxazole and trimethoprim in pharmaceutical suspension by ATR–FTIR spectrometry,” Spectroscopy, vol. 26, no. 2, pp. 105-114, 2011. https://doi.org/10.3233/SPE-2011-0520.