2012
DOI: 10.1007/s00216-012-5795-z
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Characterization of in vitro metabolic profiles of cinitapride obtained with liver microsomes of humans and various mammal species using UHPLC and chemometric methods for data analysis

Abstract: An ultra-high performance liquid chromatographic method has been utilized to obtain metabolic profiles of cinitapride with liver microsomes of humans and various mammal species such as rats, mice, mini pigs, dogs, and monkeys. Metabolites have been generated by incubation of cinitapride in the presence of microsomes using nicotinamide adenine dinucleotide phosphate as a cofactor. Incubation times from 15 to 60 min have been assayed. Cinitapride and its metabolites have been separated by reversed-phase C(18) mo… Show more

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Cited by 3 publications
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“…However, the assessment of metabolic changes in biological matrices is a complex task, and full scan chromatograms may result in an excellent source of high quality data to evaluate variations in the chemical composition in a comprehensive manner without losing statistically significant information. Nowadays, the most used strategy for data treatment relies on Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA) and related methods (Marquez, Albertí, Salvà, Saurina, & Sentellas, 2012). Such chemometric methods allow noise filtering and the concentration of information into a reduced number of latent variables.…”
Section: Introductionmentioning
confidence: 99%
“…However, the assessment of metabolic changes in biological matrices is a complex task, and full scan chromatograms may result in an excellent source of high quality data to evaluate variations in the chemical composition in a comprehensive manner without losing statistically significant information. Nowadays, the most used strategy for data treatment relies on Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA) and related methods (Marquez, Albertí, Salvà, Saurina, & Sentellas, 2012). Such chemometric methods allow noise filtering and the concentration of information into a reduced number of latent variables.…”
Section: Introductionmentioning
confidence: 99%