Scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles

Valuable quantitative information could be obtained from strongly overlapped chromatographic profiles of two enantiomers by using proper chemometric methods. Complete separation profiles where the peaks are fully resolved are difficult to achieve in chiral separation methods, and this becomes a part...

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Autores principales: Padró, Juan Manuel, Osorio Grisales, Jaiver, Arancibia, Juan Alberto, Olivieri, Alejandro César, Castells, Cecilia Beatriz Marta
Formato: Articulo Preprint
Lenguaje:Inglés
Publicado: 2015
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/95477
https://ri.conicet.gov.ar/11336/6845
http://onlinelibrary.wiley.com/doi/10.1002/jssc.201500217/full
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id I19-R120-10915-95477
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Química
Ciencias Exactas
Chiral analysis
Enantioresolution
Ketoprofen
Liquid chromatography
Multivariate calibration
spellingShingle Química
Ciencias Exactas
Chiral analysis
Enantioresolution
Ketoprofen
Liquid chromatography
Multivariate calibration
Padró, Juan Manuel
Osorio Grisales, Jaiver
Arancibia, Juan Alberto
Olivieri, Alejandro César
Castells, Cecilia Beatriz Marta
Scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles
topic_facet Química
Ciencias Exactas
Chiral analysis
Enantioresolution
Ketoprofen
Liquid chromatography
Multivariate calibration
description Valuable quantitative information could be obtained from strongly overlapped chromatographic profiles of two enantiomers by using proper chemometric methods. Complete separation profiles where the peaks are fully resolved are difficult to achieve in chiral separation methods, and this becomes a particularly severe problem in case that the analyst need to measure the chiral purity, i.e., when one of the enantiomers is present in the sample in very low concentrations. In this report, we explore the scope of a multivariate chemometric technique based on unfolded partial least-squares regression, as a mathematical tool to solve this quite frequent difficulty. This technique was applied to obtain quantitative results from partially overlapped chromatographic profiles of R- and S-ketoprofen, with different values of enantioresolution factors (from 0.81 down to less than 0.2 resolution units), and also at several different S:R enantiomeric ratios. Enantiomeric purity below 1% was determined with excellent precision even from almost completely overlapped signals. All these assays were tested on the most demanding condition, i.e., when the minor peak elutes immediately after the main peak. The results were validated using univariate calibration of completely resolved profiles and the method applied to the determination of enantiomeric purity of commercial pharmaceuticals.
format Articulo
Preprint
author Padró, Juan Manuel
Osorio Grisales, Jaiver
Arancibia, Juan Alberto
Olivieri, Alejandro César
Castells, Cecilia Beatriz Marta
author_facet Padró, Juan Manuel
Osorio Grisales, Jaiver
Arancibia, Juan Alberto
Olivieri, Alejandro César
Castells, Cecilia Beatriz Marta
author_sort Padró, Juan Manuel
title Scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles
title_short Scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles
title_full Scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles
title_fullStr Scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles
title_full_unstemmed Scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles
title_sort scope of partial least-squares regression applied to the enantiomeric composition determination of ketoprofen from strongly overlapped chromatographic profiles
publishDate 2015
url http://sedici.unlp.edu.ar/handle/10915/95477
https://ri.conicet.gov.ar/11336/6845
http://onlinelibrary.wiley.com/doi/10.1002/jssc.201500217/full
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