New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods

DİNÇ E., BALEANU D., Sen Koktas N.

REVIEWS IN ANALYTICAL CHEMISTRY, cilt.30, sa.1, ss.11-15, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 30 Sayı: 1
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1515/revac.2011.004
  • Dergi Adı: REVIEWS IN ANALYTICAL CHEMISTRY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.11-15
  • Anahtar Kelimeler: artificial neural networks, levamisole, principal component analysis, triclabendazole, PERFORMANCE LIQUID-CHROMATOGRAPHY, LEVAMISOLE, TRICLABENDAZOLE, METABOLITES, ULTRAVIOLET, ABAMECTIN, TISSUES, MILK
  • Ankara Üniversitesi Adresli: Evet

Özet

The simultaneous spectral prediction of levamisole (LEV) and triclabendazole (TRI) in combined veterinary formulation was performed by the new chemometric methods, artificial neural network (ANN) and principal component analysis-artificial neural network (PCA-ANN). Despite the overlapping spectra of LEV and TRI in the same wavelength region, the proposed methods do not use any separation procedure for the analysis of the related compounds. Good precision and accuracy were observed for the applications of the proposed artificial neural network models to an independent binary mixture set consisting of the active compounds. These methods were successfully applied for the chemometric quantitation of a veterinary formulation of LEV and TRI.