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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampSouza, Endler Marcel Borges de-
dc.typeArtigopt_BR
dc.titleHow to select equivalent and complimentary reversed phase liquid chromatography columns from column characterization databasespt_BR
dc.contributor.authorBorges, E. M.-
dc.subjectCromatografia de fase reversapt_BR
dc.subject.otherlanguageChromatography, reverse-phasept_BR
dc.description.abstractThree RP-LC column characterization protocols [Tanaka et al. (1989), Snyder et al. (PQRI, 2002), and NIST SRM 870 (2000)] were evaluated using both Euclidian distance and Principal Components Analysis to evaluate effectiveness at identifying equivalent columns. These databases utilize specific chromatographic properties such as hydrophobicity, hydrogen bonding, shape/steric selectivity, and ion exchange capacity of stationary phases. The chromatographic parameters of each test were shown to be uncorrelated. Despite this, the three protocols were equally successful in identifying similar and/or dissimilar stationary phases. The veracity of the results has been supported by some real life pharmaceutical separations. The use of Principal Component Analysis to identify similar/dissimilar phases appears to have some limitations in terms of loss of information. In contrast, the use of Euclidian distances is a much more convenient and reliable approach. The use of auto scaled data is favoured over the use of weighted factors as the former data transformation is less affected by the addition or removal of columns from the database. The use of these free databases and their corresponding software tools shown to be valid for identifying similar columns with equivalent chromatographic selectivity and retention as a "backup column". In addition, dissimilar columns with complimentary chromatographic selectivity can be identified for method development screening strategiespt_BR
dc.relation.ispartofAnalytica chimica actapt_BR
dc.publisher.cityAmsterdampt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.publisherElsevierpt_BR
dc.date.issued2014-
dc.date.monthofcirculationJan.pt_BR
dc.language.isoengpt_BR
dc.description.volume807pt_BR
dc.description.firstpage143pt_BR
dc.description.lastpage152pt_BR
dc.rightsAbertopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0003-2670pt_BR
dc.identifier.eissn1873-4324pt_BR
dc.identifier.doi10.1016/j.aca.2013.11.010pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0003267013014293pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber11/07466-0pt_BR
dc.date.available2020-11-09T13:31:04Z-
dc.date.accessioned2020-11-09T13:31:04Z-
dc.description.provenanceSubmitted by Cintia Oliveira de Moura (cintiaom@unicamp.br) on 2020-11-09T13:31:04Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-02-16T16:52:52Z : No. of bitstreams: 1 000328569500017.pdf: 2356410 bytes, checksum: 26a9bbf0f7799b928de63e8482c91310 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-11-09T13:31:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2014en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/352006-
dc.contributor.unidadeInstituto de Químicapt_BR
dc.identifier.source000328569500017pt_BR
dc.creator.orcid0000-0002-9260-3639pt_BR
dc.type.formArtigopt_BR
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