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A review of multivariate designs applied to the optimization of methods based on inductively coupled plasma optical emission spectrometry (ICP OES)

期刊

MICROCHEMICAL JOURNAL
卷 128, 期 -, 页码 331-346

出版社

ELSEVIER
DOI: 10.1016/j.microc.2016.05.015

关键词

ICP OES; Two level factorial design; Central composite design; Box-Behnken design; Doehlert design; Mixture designs

资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [307794/2013]
  2. Fundacao de Amparo a Pesquisa do Estado da Bahia (FAPESB) [5197/2014]
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [1368779]

向作者/读者索取更多资源

This review covers the application of multivariate designs and mathematical-statistical techniques to establish optimal conditions of the analytical methods for elemental analysis using inductively coupled plasma optical emission spectrometry (ICP OES) as a detection technique. The main experimental designs, such as two level factorial design, central-composite design, Box Behnken design, Doehlert design and mixtures designs are presented and discussed in connection to the method stage, in which multivariate designs were used in the instrumental variable optimization related to plasma, sample decomposition, preconcentration stage and sample introduction technique. (C) 2016 Elsevier B.V. All rights reserved.

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