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Nontargeted, Rapid Screening of Extra Virgin Olive Oil Products for Authenticity Using Near-Infrared Spectroscopy in Combination with Conformity Index and Multivariate Statistical Analyses.
Karunathilaka, Sanjeewa R; Kia, Ali-Reza Fardin; Srigley, Cynthia; Chung, Jin Kyu; Mossoba, Magdi M.
Afiliación
  • Karunathilaka SR; Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, College Park, Md, U.S.A.
  • Kia AF; Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, College Park, Md, U.S.A.
  • Srigley C; Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, College Park, Md, U.S.A.
  • Chung JK; Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, College Park, Md, U.S.A.
  • Mossoba MM; Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, College Park, Md, U.S.A. magdi.mossoba@fda.hhs.gov.
J Food Sci ; 81(10): C2390-C2397, 2016 Oct.
Article en En | MEDLINE | ID: mdl-27626761
A rapid tool for evaluating authenticity was developed and applied to the screening of extra virgin olive oil (EVOO) retail products by using Fourier-transform near infrared (FT-NIR) spectroscopy in combination with univariate and multivariate data analysis methods. Using disposable glass tubes, spectra for 62 reference EVOO, 10 edible oil adulterants, 20 blends consisting of EVOO spiked with adulterants, 88 retail EVOO products and other test samples were rapidly measured in the transmission mode without any sample preparation. The univariate conformity index (CI) and the multivariate supervised soft independent modeling of class analogy (SIMCA) classification tool were used to analyze the various olive oil products which were tested for authenticity against a library of reference EVOO. Better discrimination between the authentic EVOO and some commercial EVOO products was observed with SIMCA than with CI analysis. Approximately 61% of all EVOO commercial products were flagged by SIMCA analysis, suggesting that further analysis be performed to identify quality issues and/or potential adulterants. Due to its simplicity and speed, FT-NIR spectroscopy in combination with multivariate data analysis can be used as a complementary tool to conventional official methods of analysis to rapidly flag EVOO products that may not belong to the class of authentic EVOO.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminación de Alimentos / Espectroscopía Infrarroja Corta / Aceite de Oliva Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Food Sci Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminación de Alimentos / Espectroscopía Infrarroja Corta / Aceite de Oliva Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Food Sci Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos