Articles producció científicaQuímica Analítica i Química Orgànica

Spatially Offset Raman Spectroscopic (SORS) Analysis of Wine Alcoholic Fermentation: A Preliminary Study

  • Identification data

    Identifier:  imarina:9290706
    Authors:  Schorn-Garcia, Daniel; Ezenarro, Jokin; Acena, Laura; Busto, Olga; Boque, Ricard; Giussani, Barbara; Mestres, Montserrat
    Abstract:
    Spatially offset Raman spectroscopy (SORS) is a non-invasive analytical technique that allows the analysis of samples through a container. This makes it an effective tool for studying food and beverage products, as it can measure the sample without being affected by the packaging or the container. In this study, a portable SORS equipment was used for the first time to analyse the alcoholic fermentation process of white wine. Different sample measurement arrangements were tested in order to determine the most effective method for monitoring the fermentation process and predicting key oenological parameters. The best results were obtained when the sample was directly measured through the glass container in which the fermentation was occurring. This allowed for the accurate monitoring of the process and the prediction of density and pH with a root mean square error of cross-validation (RMSECV) of 0.0029 g·L?1 and 0.04, respectively, and R2 values of 0.993 and 0.961 for density and pH, respectively. Additionally, the sources of variability depending on the measurement arrangements were studied using ANOVA-Simultaneous Component Analysis (ASCA).
  • Others:

    Link to the original source: https://www.mdpi.com/2311-5637/9/2/115
    Paper original source: Fermentation. 9 (2): 115-
    Project code 3: 2021PMF-BS-12
    Entity: Universitat Rovira i Virgili
    Record's date: 2025-03-15
    URV's Author/s: Aceña Muñoz, Laura / Boqué Martí, Ricard / Busto Busto, Olga / EZENARRO GARATE, JOKIN / Giussani, Barbara / Mestres Solé, Maria Montserrat / Schorn García, Daniel
    Project code 2: 2020 FISDU 00221
    Department: Química Analítica i Química Orgànica
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Founding program 3: Contrato predoctoral Martí Franqués - Banco Santander
    Founding program 2: Agencia de Gestión de Ayudas Universitarias y de Investigación (AGAUR)
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Plant science, Food science, Biotechnology & applied microbiology, Biochemistry, genetics and molecular biology (miscellaneous)
    Funding program action: Ciencias y tecnologías de alimentos
    APA: Schorn-Garcia, Daniel; Ezenarro, Jokin; Acena, Laura; Busto, Olga; Boque, Ricard; Giussani, Barbara; Mestres, Montserrat (2023). Spatially Offset Raman Spectroscopic (SORS) Analysis of Wine Alcoholic Fermentation: A Preliminary Study. Fermentation, 9(2), 115-. DOI: 10.3390/fermentation9020115
    Program founding action 2: Ayudas de apoyo a departamentos y unidades de investigación universitarios para la contratación de personal investigador predoctoral en formación (FI SDUR 2020)
    Article's DOI: 10.3390/fermentation9020115
    Funding program: Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i y de I+D+i Orientada a los Retos de la Sociedad. Proyectos de I+D+i Retos Investigación 2017-2020
    Journal publication year: 2023
    Paper version: info:eu-repo/semantics/publishedVersion
    Acronym: ALLFRUIT4ALL
    Author, as appears in the article.: Schorn-Garcia, Daniel; Ezenarro, Jokin; Acena, Laura; Busto, Olga; Boque, Ricard; Giussani, Barbara; Mestres, Montserrat
    Project code: PID2019-104269RR-C33 / AEI / 10.13039/501100011033
    Author's mail: barbara.giussani@urv.cat, jokin.ezenarro@estudiants.urv.cat, daniel.schorn@urv.cat, daniel.schorn@urv.cat, daniel.schorn@urv.cat, montserrat.mestres@urv.cat, ricard.boque@urv.cat, olga.busto@urv.cat, laura.acena@urv.cat
  • Keywords:

    Vibrational spectroscopy
    Process analytical technologies (pat)
    Multivariate analysis
    Infrared spectroscopy
    Analysis through packaging
    regression
    recognition
    Biochemistry
    Genetics and Molecular Biology (Miscellaneous)
    Biotechnology & Applied Microbiology
    Food Science
    Plant Science
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