Second- And Third-order Multivariate Calibration: Data, Algorithms And Applications

dc.creatorEscandar G.M.
dc.creatorOlivieri A.C.
dc.creatorFaber N.(K.) M.
dc.creatorGoicoechea H.C.
dc.creatorMunoz de la Pena A.
dc.creatorPoppi R.J.
dc.date2007
dc.date2015-06-30T18:46:02Z
dc.date2015-11-26T14:34:02Z
dc.date2015-06-30T18:46:02Z
dc.date2015-11-26T14:34:02Z
dc.date.accessioned2018-03-28T21:37:25Z
dc.date.available2018-03-28T21:37:25Z
dc.identifier
dc.identifierTrac - Trends In Analytical Chemistry. , v. 26, n. 7, p. 752 - 765, 2007.
dc.identifier1659936
dc.identifier10.1016/j.trac.2007.04.006
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-34547702396&partnerID=40&md5=1658d8aef56f88f1bf571b72fbfe177f
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/104677
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/104677
dc.identifier2-s2.0-34547702396
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1247999
dc.descriptionWe review second- and third-order multivariate calibration, based on the growing literature in this field, the variety of data being produced by modern instruments, and the proliferation of algorithms capable of dealing with higher-order data. We primarily emphasize the relevance of the subject to analytical chemistry. We intend, in the terminology section, to clarify some confusing features relating to the definition of sample constituents in second-order calibration. We then classify and compare instrumental data and available algorithms. We provide insight into the relative advantages and disadvantages of the existing algorithms (e.g., in terms of: achieving second-order advantage (the ability to cope with varying amounts of potential interferents in test samples), presence of linear dependency in the data, handling trilinear deviations, using incomplete calibration data, extension to higher-order information, handling missing values; and, providing physico-chemical information. Finally, we present a number of applications, selected from recent second- and third-order experimental works based on data obtained through excitation-emission fluorescence spectroscopy, spectral-kinetic and spectral-pH measurements, and hyphenated techniques. © 2007 Elsevier Ltd. All rights reserved.
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dc.languageen
dc.publisher
dc.relationTrAC - Trends in Analytical Chemistry
dc.rightsfechado
dc.sourceScopus
dc.titleSecond- And Third-order Multivariate Calibration: Data, Algorithms And Applications
dc.typeArtículos de revistas


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