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Bluetooth-Connected Pocket Spectrometer and Chemometrics for Olive Oil Applications.
Ciaccheri, Leonardo; Adinolfi, Barbara; Mencaglia, Andrea Azelio; Mignani, Anna Grazia.
Afiliación
  • Ciaccheri L; Istituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.
  • Adinolfi B; Istituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.
  • Mencaglia AA; Istituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.
  • Mignani AG; Istituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.
Foods ; 11(15)2022 Jul 29.
Article en En | MEDLINE | ID: mdl-35954033
Unsaturated fatty acids are renowned for their beneficial effects on the cardiovascular system. The high content of unsaturated fatty acids is a benefit of vegetable fats and an important nutraceutical indicator. The ability to quickly check fat composition of an edible oil could be advantageous for both consumers and retailers. A Bluetooth-connected pocket spectrometer operating in NIR band was used for analyzing olive oils of different qualities. Reference data for fatty acid composition were obtained from a certified analytical laboratory. Chemometrics was used for processing data, and predictive models were created for determining saturated and unsaturated fatty acid content. The NIR spectrum also demonstrated good capability in classifying extra virgin and non-extra virgin olive oils. The pocket spectrometer used in this study has a relatively low cost, which makes it affordable for a wide class of users. Therefore, it may open the opportunity for quick and non-destructive testing of edible oil, which can be of interest for consumer, retailers, and for small/medium-size producers, which lack easy access to conventional analytics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Foods Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Foods Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza