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Food adulteration analysis without laboratory prepared or determined reference food adulterant values.
Kalivas, John H; Georgiou, Constantinos A; Moira, Marianna; Tsafaras, Ilias; Petrakis, Eleftherios A; Mousdis, George A.
Afiliação
  • Kalivas JH; Department of Chemistry, Idaho State University, Pocatello, ID 83209, USA. Electronic address: kalijohn@isu.edu.
Food Chem ; 148: 289-93, 2014 Apr 01.
Article em En | MEDLINE | ID: mdl-24262559
Quantitative analysis of food adulterants is an important health and economic issue that needs to be fast and simple. Spectroscopy has significantly reduced analysis time. However, still needed are preparations of analyte calibration samples matrix matched to prediction samples which can be laborious and costly. Reported in this paper is the application of a newly developed pure component Tikhonov regularization (PCTR) process that does not require laboratory prepared or reference analysis methods, and hence, is a greener calibration method. The PCTR method requires an analyte pure component spectrum and non-analyte spectra. As a food analysis example, synchronous fluorescence spectra of extra virgin olive oil samples adulterated with sunflower oil is used. Results are shown to be better than those obtained using ridge regression with reference calibration samples. The flexibility of PCTR allows including reference samples and is generic for use with other instrumental methods and food products.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Óleos de Plantas / Contaminação de Alimentos / Análise de Alimentos Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Óleos de Plantas / Contaminação de Alimentos / Análise de Alimentos Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem Ano de publicação: 2014 Tipo de documento: Article