Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contact Us
  • Send Feedback
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of RIUBUCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Compartir

    View Item 
    •   RIUBU Home
    • E-Prints and Research Data
    • Untitled
    • Untitled
    • Artículos Q&C
    • View Item
    •   RIUBU Home
    • E-Prints and Research Data
    • Untitled
    • Untitled
    • Artículos Q&C
    • View Item

    Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10259/10774

    Título
    Influence of a Measurement Procedure and Evaluation of Transflectance Sensing System for Quantifying Sunflower Oil Adulterations in Olive Oil. A Proof of Concept
    Autor
    Castro Reigía, David
    Sierra, M.
    García, I.
    Sanllorente Méndez, SilviaUBU authority Orcid
    Sarabia Peinador, Luis AntonioUBU authority Orcid
    Ortiz Fernández, Mª CruzUBU authority Orcid
    Publicado en
    Journal of Chemometrics. 2025, V. 39, n. 8, e70054
    Editorial
    Wiley
    Fecha de publicación
    2025-08
    ISSN
    0886-9383
    DOI
    10.1002/cem.70054
    Abstract
    The development of NIR instruments and/or their modification to adapt the measurements for each problem and improve its performance are crucial steps for the optimal measurement procedures. In this work, it is presented the development of an accessory for cuvettes designed to have the possibility to collect NIR spectra in transflectance mode. In that sense, it is aimed to investigate how different factors in the measurement procedure using this accessory influence both the NIR spectra and the subsequent calibration models for detecting adulterations with sunflower oil in olive oil. The purpose is to show how a proof of concept can be developed using chemometric tools. For that, every measurement condition influencing the spectra was evaluated with ASCA, visualizing how the use of different NIR devices, the sensor arrangement regarding the cuvette, the activation of the internal compensation system of temperature of the sensor, or the concentration levels of the adulterant affected the resulting spectra. Afterwards, every possible combination of the factors was explored through eight different PLS calibration models and their validation to examine if the factors also influenced the calibration models built for quantifying the sunflower oil present in the olive oil. It was found that not only were all factors significant regarding NIR measurements but also when quantifying adulterants. The best results of this proof of concept were obtained by arranging the sensor in a horizontal disposition regarding the cuvette and activating the internal compensation system of temperature. The capability of detection of the method for the particular oils used was 1.4% for probabilities of false positive and false negative of 0.05.
    Palabras clave
    Adulteration
    ASCA
    NIR spectroscopy
    Olive oil
    PLS
    Materia
    Quimiometría
    Chemometrics
    URI
    https://hdl.handle.net/10259/10774
    Versión del editor
    https://doi.org/10.1002/cem.70054
    Collections
    • Artículos Q&C
    Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Files in this item
    Nombre:
    Castro-jc_2025.pdf
    Tamaño:
    1.412Mb
    Formato:
    Adobe PDF
    Thumbnail
    FilesOpen

    Métricas

    Citas

    Ver estadísticas de uso

    Export

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Show full item record

    Universidad de Burgos

    Powered by MIT's. DSpace software, Version 5.10