Dinç, ErdalBaleanu, DumitruSen Koktas, Nigar2020-04-152020-04-152011-04Dinc, Erdal; Baleanu, Dumitru; Sen Koktas, Nigar, "New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods", Reviews In Analytical Chemistry, Vol. 30, No. 1, pp. 11-15, (2011)0793-0135http://hdl.handle.net/20.500.12416/3148The 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.enginfo:eu-repo/semantics/closedAccessArtificial Neural NetworksLevamisolePrincipal Component AnalysisTriclabendazoleNew Spectral Approaches To the Simultaneous Quantitative Resolution of A Combined Veterinary Formulation By Ann and Pca-Ann Methodsarticle3011115