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Prediction of Gas Chromatography-Mass Spectrometry Retention Times of Pesticide Residues by Chemometrics Methods
Joint Authors
Mohsen Sarrafi, A. H.
Feizbakhsh, Alireza
Konoz, Elaheh
Dashtbozorgi, Zahra
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A quantitative structure-retention relationships (QSRRs) method is employed to predict the retention time of 300 pesticide residues in animal tissues separated by gas chromatography-mass spectroscopy (GC-MS).
Firstly, a six-parameter QSRR model was developed by means of multiple linear regression.
The six molecular descriptors that were considered to account for the effect of molecular structure on the retention time are number of nitrogen, Solvation connectivity index-chi 1, Balaban Y index, Moran autocorrelation-lag 2/weighted by atomic Sanderson electronegativity, total absolute charge, and radial distribution function-6.0/unweighted.
A 6-7-1 back propagation artificial neural network (ANN) was used to improve the accuracy of the constructed model.
The standard error values of ANN model for training, test, and validation sets are 1.559, 1.517, and 1.249, respectively, which are less than those obtained reveals by multiple linear regressions model (2.402, 1.858, and 2.036, resp.).
Results obtained the reliability and good predictability of nonlinear QSRR model to predict the retention time of pesticides.
American Psychological Association (APA)
Konoz, Elaheh& Mohsen Sarrafi, A. H.& Feizbakhsh, Alireza& Dashtbozorgi, Zahra. 2012. Prediction of Gas Chromatography-Mass Spectrometry Retention Times of Pesticide Residues by Chemometrics Methods. Journal of Chemistry،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-507244
Modern Language Association (MLA)
Konoz, Elaheh…[et al.]. Prediction of Gas Chromatography-Mass Spectrometry Retention Times of Pesticide Residues by Chemometrics Methods. Journal of Chemistry No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-507244
American Medical Association (AMA)
Konoz, Elaheh& Mohsen Sarrafi, A. H.& Feizbakhsh, Alireza& Dashtbozorgi, Zahra. Prediction of Gas Chromatography-Mass Spectrometry Retention Times of Pesticide Residues by Chemometrics Methods. Journal of Chemistry. 2012. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-507244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507244