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Authentication of Argentinean extra-virgin olive oils using three-way fluorescence and two-way near-infrared data fused with multi-block DD-SIMCA.
Lozano, Valeria A; Jiménez Carvelo, Ana M; Olivieri, Alejandro C; Kucheryavskiy, Sergey V; Rodionova, Oxana Ye; Pomerantsev, Alexey L.
Afiliação
  • Lozano VA; Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis (2000), Rosario, Argentina; Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531 (2000), Rosario, Argentina.
  • Jiménez Carvelo AM; Department of Analytical Chemistry, Faculty of Science, Avenida de la Fuente Nueva S/N, 18071 Granada, Spain.
  • Olivieri AC; Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis (2000), Rosario, Argentina; Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531 (2000), Rosario, Argentina. Electronic address: olivieri@iquir-conicet.gov.
  • Kucheryavskiy SV; Department of Chemistry and Bioscience, Aalborg University, Denmark.
  • Rodionova OY; Federal Research Center for Chemical Physics RAS, Kosygin St. 4, 119991 Moscow, Russia.
  • Pomerantsev AL; Federal Research Center for Chemical Physics RAS, Kosygin St. 4, 119991 Moscow, Russia.
Food Chem ; 463(Pt 1): 141127, 2024 Sep 03.
Article em En | MEDLINE | ID: mdl-39243625
ABSTRACT
A trending problem of Extra Virgin Olive Oil (EVOO) adulteration is investigated using two analytical platforms, involving (1) Near Infrared (NIR) spectroscopy, resulting in a two-way data set, and (2) Fluorescence Excitation-Emission Matrix (EEFM) spectroscopy, producing three-way data. The related instruments were employed to study genuine and adulterated samples. Each data set was first separately analyzed using the Data Driven-Soft Independent Modeling of Class Analogies (DD-SIMCA) method, based on Principal Component Analysis (for the two-way NIR data) and PARallel FACtor analysis (for the three-way EEFM data). The data sets were then processed together using the multi-block fusion method, based on the concept of Cumulative Analytical Signal (CAS). A comparison of the data processing methods in terms of sensitivity, specificity and selectivity showed the following order of excellence NIR < EEFM < NIR + EEFM. This finding confirms the effectiveness of multi-block data fusion, which cumulatively improves the model performance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Argentina Idioma: En Revista: Food Chem Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Argentina País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Argentina Idioma: En Revista: Food Chem Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Argentina País de publicação: Reino Unido