| Application of principal component-artificial neural network models for simultaneous determination of phenolic compounds by a kinetic spectrophotometric method. | |
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MedLine Citation:
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PMID: 18272286 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A multicomponent analysis method based on principal component analysis-artificial neural network models (PC-ANN) is proposed for the determination of phenolic compounds. The method relies on the oxidative coupling of phenols (phenol, 2 chlorophenol, 3-chlorophenol and 4-chlorophenol) to N,N-diethyl-p-phenylenediamine in the presence of hexacyanoferrate(III). The reaction monitored at analytical wavelength 680 nm of the dye formed. Phenols can be determined individually over the concentration range 0.1-7.0 microg ml(-1). Differences in the kinetic behavior of the four species were exploited by using PC-ANN, to resolve mixtures of phenol. After reducing the number of kinetic data using principal component analysis, an artificial neural network consisting of three layers of nodes was trained by applying a back-propagation learning rule. The optimized ANN allows the simultaneous quantitation of four analytes in mixtures with relative standard errors of prediction in the region of 5% for four species. The results show that PC-ANN is an efficient method for prediction of the four analytes. |
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Authors:
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Masoumeh Hasani; Mahsa Moloudi |
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Publication Detail:
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Type: Journal Article Date: 2008-01-04 |
Journal Detail:
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Title: Journal of hazardous materials Volume: 157 ISSN: 0304-3894 ISO Abbreviation: J. Hazard. Mater. Publication Date: 2008 Aug |
Date Detail:
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Created Date: 2008-06-23 Completed Date: 2008-10-06 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9422688 Medline TA: J Hazard Mater Country: Netherlands |
Other Details:
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Languages: eng Pagination: 161-9 Citation Subset: IM |
Affiliation:
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Faculty of chemistry, Bu-Ali Sina University, Hamedan 65174, Iran. hasani@basu.ac.ir |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Environmental Pollutants
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analysis* Ferricyanides / chemistry Hydrogen-Ion Concentration Kinetics Neural Networks (Computer)* Phenols / analysis* Phenylenediamines / chemistry Principal Component Analysis* Sensitivity and Specificity Spectrophotometry, Ultraviolet |
| Chemical | |
Reg. No./Substance:
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0/Environmental Pollutants; 0/Ferricyanides; 0/Phenols; 0/Phenylenediamines; 13746-66-2/potassium ferricyanide; 93-05-0/N,N-diethyl 4-phenylenediamine |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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