Evaluation and optimisation of analytical methods for classification of olive oils using miniaturised portable NIR instruments and chemometric techniques

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: No

Education area(s): Nanociència, Materials i Processos - Tecnologia Química de Frontera 

Title in different languages: Evaluacion y optimizacion de metodos analiticos para la clasificacion de aceites de oliva usando instrumentos NIR portatiles miniaturizados y tecnicas quimiometricas

Abstract: We have explored the possibility of using a low-cost and portable analytical method based on NIR for classification and differentiation of oils, with the minimum possible complications in terms of cleaning, use and cross-contamination. We analysed different types of olive oils and refined sunflower oils. Two portable NIR devices, SCiO and NeoSpectra with a wavelength range of 740-1070 and 1350-2558 nm respectively, were used. Chemometric techniques such as PCA and PLS-DA were used for the qualitative analysis of the data. We found that both devices were able to distinguish with good accuracy olive oils from sunflower oils.

Subject: Química

Academic year: 2020-2021

Language: Anglès

Work's public defense date: 2021-09-09

Subject areas: Chemistry

Student: Escalante Quiceno, Alix Tatiana

Department: Química Analítica i Química Orgànica

Creation date in repository: 2021-11-18

Keywords: Chemometric techniques, Olive Oils, NIR spectroscopy.

Title in original language: Evaluation and optimisation of analytical methods for classification of olive oils using miniaturised portable NIR instruments and chemometric techniques

Access Rights: info:eu-repo/semantics/openAccess

Project director: Riu, Jordi; Boqué, Ricard