New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2011-04-01
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| Series: | Reviews in Analytical Chemistry |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/revac.2011.004 |
| _version_ | 1819115380890664960 |
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| author | Dinç Erdal Baleanu Dumitru Köktaş Nigar Şen |
| author_facet | Dinç Erdal Baleanu Dumitru Köktaş Nigar Şen |
| author_sort | Dinç Erdal |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T05:00:17Z |
| format | Article |
| id | doaj.art-a6a24a57672d4d8aa342f5f47b27382e |
| institution | Directory Open Access Journal |
| issn | 0793-0135 2191-0189 |
| language | English |
| last_indexed | 2024-12-22T05:00:17Z |
| publishDate | 2011-04-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Reviews in Analytical Chemistry |
| spelling | doaj.art-a6a24a57672d4d8aa342f5f47b27382e2022-12-21T18:38:17ZengDe GruyterReviews in Analytical Chemistry0793-01352191-01892011-04-01301111510.1515/revac.2011.004New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methodsDinç Erdal0Baleanu DumitruKöktaş Nigar Şen1Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, 06100, Tandoğan, Ankara, TurkeyDepartment of Mathematics and Computer Sciences, Faculty of Arts and Sciences, Çankaya University, 06530 Balgat, Ankara, TurkeyThe 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.https://doi.org/10.1515/revac.2011.004artificial neural networkslevamisoleprincipal component analysistriclabendazole |
| spellingShingle | Dinç Erdal Baleanu Dumitru Köktaş Nigar Şen New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods Reviews in Analytical Chemistry artificial neural networks levamisole principal component analysis triclabendazole |
| title | New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods |
| title_full | New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods |
| title_fullStr | New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods |
| title_full_unstemmed | New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods |
| title_short | New spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ANN and PCA-ANN methods |
| title_sort | new spectral approaches to the simultaneous quantitative resolution of a combined veterinary formulation by ann and pca ann methods |
| topic | artificial neural networks levamisole principal component analysis triclabendazole |
| url | https://doi.org/10.1515/revac.2011.004 |
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