Articles producció científica> Química Analítica i Química Orgànica

ATR-MIR spectroscopy as a process analytical technology in wine alcoholic fermentation – A tutorial

  • Datos identificativos

    Identificador: imarina:9187293
    Autores:
    Schorn-García DCavaglia JGiussani BBusto OAceña LMestres MBoqué R
    Resumen:
    The goal of this article is to guide the reader through the critical points to be faced when monitoring a fermentation following a Process Analytical Technology (PAT) approach. To achieve this purpose Attenuated Total Reflectance – Mid-Infrared (ATR-MIR) spectroscopy coupled to chemometric techniques are proposed. Each of the crucial steps (set up of microvinifications, sampling, spectroscopic analysis and chemometric data treatment) is deeply investigated, revealing how the sampling is decisive for the subsequent modeling phase, suggesting how to set parameters to obtain good quality signals, and explaining how to prepare the data for the chemometric modeling and to perform the calculations. The modeling strategies here presented, based mainly on basic chemometric tools such as principal component analysis and partial least square regression, proved to be effective to the purposes and affordable even for non-expert chemometric users. The article shows, using real examples, how to obtain or predict several parameters from a fermentation data set – control of the fermentation evolution, prediction of oenological parameters during the alcoholic fermentation and detection of deviations from the normal operation condition.
  • Otros:

    Código de proyecto: PID2019-104269RR-C33 / AEI / 10.13039/501100011033
    Palabras clave: Wine Vibrational spectroscopy Pattern-recognition Pat Nir spectroscopy Multivariate process control Microfermentation Infrared spectroscopy Chemometrics
    Fecha de alta del registro: 2024-07-27
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Microchemical Journal. 166 (106215):
    Referencia de l'ítem segons les normes APA: Schorn-García D; Cavaglia J; Giussani B; Busto O; Aceña L; Mestres M; Boqué R (2021). ATR-MIR spectroscopy as a process analytical technology in wine alcoholic fermentation – A tutorial. Microchemical Journal, 166(106215), -. DOI: 10.1016/j.microc.2021.106215
    Acrónimo: ALLFRUIT4ALL
    Tipo de publicación: Journal Publications
    Código de projecto 3: 2020 FISDU 00221
    Código de proyecto 4: FI_B100154
    Autor según el artículo: Schorn-García D; Cavaglia J; Giussani B; Busto O; Aceña L; Mestres M; Boqué R
    Departamento: Química Analítica i Química Orgànica
    Acrónimo 2: EnoPAT
    Autor/es de la URV: Aceña Muñoz, Laura / Boqué Martí, Ricard / Busto Busto, Olga / Mestres Solé, Maria Montserrat / Schorn García, Daniel
    Resumen: The goal of this article is to guide the reader through the critical points to be faced when monitoring a fermentation following a Process Analytical Technology (PAT) approach. To achieve this purpose Attenuated Total Reflectance – Mid-Infrared (ATR-MIR) spectroscopy coupled to chemometric techniques are proposed. Each of the crucial steps (set up of microvinifications, sampling, spectroscopic analysis and chemometric data treatment) is deeply investigated, revealing how the sampling is decisive for the subsequent modeling phase, suggesting how to set parameters to obtain good quality signals, and explaining how to prepare the data for the chemometric modeling and to perform the calculations. The modeling strategies here presented, based mainly on basic chemometric tools such as principal component analysis and partial least square regression, proved to be effective to the purposes and affordable even for non-expert chemometric users. The article shows, using real examples, how to obtain or predict several parameters from a fermentation data set – control of the fermentation evolution, prediction of oenological parameters during the alcoholic fermentation and detection of deviations from the normal operation condition.
    Acción del programa de financiación 2: Ciencias y tecnologías de los alimentos
    Áreas temáticas: Spectroscopy Saúde coletiva Química Odontología Nutrição Medicina ii Medicina i Materiais Interdisciplinar Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Chemistry, analytical Biotecnología Biodiversidade Astronomia / física Analytical chemistry Administração pública e de empresas, ciências contábeis e turismo
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Acción del programa de financiación 4: Ayudas para la contratación de personal investigador novel (FI-2018)
    ISSN: 0026-265X
    Direcció de correo del autor: daniel.schorn@urv.cat daniel.schorn@urv.cat montserrat.mestres@urv.cat ricard.boque@urv.cat olga.busto@urv.cat laura.acena@urv.cat
    Identificador del autor: 0000-0003-0997-2191 0000-0003-0997-2191 0000-0001-9805-3482 0000-0001-7311-4824 0000-0002-2318-6800 0000-0001-5942-9424
    Acción del programa de financiació 3: Ayudas de apoyo a departamentos y unidades de investigación universitarios para la contratación de personal investigador predoctoral en formación (FI SDUR 2020)
    Codigo del proyecto 2: AGL2015-70106-R, AEI/FEDER, UE
    Programa de financiación 2: Programa estatal de Investigación, Desarrollo e Innovación orientada a los Retos de la Sociedad, en el marco del Plan estatal de investigación científica y técnica y de innovación 2013-2016
    Programa de financiación: 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
    Programa de financiación 4: Agencia de Gestión de Ayudas Universitarias y de Investigación (AGAUR)
    Programa de financiación 3: Agencia de Gestión de Ayudas Universitarias y de Investigación (AGAUR)
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Acción del progama de financiación: Ciencias y tecnologías de alimentos
  • Palabras clave:

    Analytical Chemistry,Chemistry, Analytical,Spectroscopy
    Wine
    Vibrational spectroscopy
    Pattern-recognition
    Pat
    Nir spectroscopy
    Multivariate process control
    Microfermentation
    Infrared spectroscopy
    Chemometrics
    Spectroscopy
    Saúde coletiva
    Química
    Odontología
    Nutrição
    Medicina ii
    Medicina i
    Materiais
    Interdisciplinar
    Geociências
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Enfermagem
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Chemistry, analytical
    Biotecnología
    Biodiversidade
    Astronomia / física
    Analytical chemistry
    Administração pública e de empresas, ciências contábeis e turismo
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