Treballs Fi de MàsterQuímica Analítica i Química Orgànica

Evaluacion y optimizacion de metodos analiticos para la clasificacion de aceites de oliva usando instrumentos NIR portatiles miniaturizados y tecnicas quimiometricas

  • Identification data

    Identifier:  TFM:884
    Authors:  Escalante Quiceno, Alix Tatiana
    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.
  • Others:

    Entity: Universitat Rovira i Virgili (URV)
    Confidenciality: No
    Student: Escalante Quiceno, Alix Tatiana
    Education area(s): Nanociència, Materials i Processos - Tecnologia Química de Frontera 
    Department: Química Analítica i Química Orgànica
    Creation date in repository: 2021-11-18
    Subject: Química
    Academic year: 2020-2021
    Work's public defense date: 2021-09-09
    Access Rights: info:eu-repo/semantics/openAccess
    Project director: Riu, Jordi; Boqué, Ricard
  • Keywords:

    Chemometric techniques
    Olive Oils
    NIR spectroscopy.
    Chemistry
  • Documents:

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