Calibration transfer employing univariate correction and robust regression

Autor(es)

Harrop Galvao, Roberto Kawakami ^[1] ; Carreiro Soares, Sofacles Figueredo ^{[2, 3]} ; Martins, Marcelo Nascimento ^[1] ; Pimentel, Maria Fernanda ^[4] ; Ugulino Araujo, Mario Cesar ^[2]

Afiliação do(s) autor(es)

^[1] Inst Tecnol Aeronaut, Div Engn Eletron, BR-12228900 Sao Paulo - Brazil

^[2] Univ Fed Paraiba, CCEN, Dept Quim, BR-58051970 Joao Pessoa, Paraiba - Brazil

^[3] Univ Fed Paraiba, CT, Dept Engn Quim, BR-58051970 Joao Pessoa, Paraiba - Brazil

^[4] Univ Fed Pernambuco, Dept Engn Quim, BR-50740521 Recife, PE - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Analytica Chimica Acta; v. 864, p. 1-8, MAR 15 2015.
• Citações Web of Science: 12

Resumo

This paper proposes a new method for calibration transfer, which was specifically designed to work with isolated variables, rather than the full spectrum or spectral windows. For this purpose, a univariate procedure is initially employed to correct the spectral measurements of the secondary instrument, given a set of transfer samples. A robust regression technique is then used to obtain a model with low sensitivity with respect to the univariate correction residuals. The proposed method is employed in two case studies involving near infrared spectrometric determination of specific mass, research octane number and naphthenes in gasoline, and moisture and oil in corn. In both cases, better calibration transfer results were obtained in comparison with piecewise direct standardization (PDS). The proposed method should be of a particular value for use with application-targeted instruments that monitor only a small set of spectral variables. (C) 2014 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 05/04400-7 - Identificacao e controle preditivo em multiescala.
• Beneficiário: Marcelo do Nascimento Martins
• Modalidade de apoio: Bolsas no Brasil - Doutorado