Codi de projecte: AGL2015-70106-R, AEI/FEDER, UE
Paraules clau: Wine State Quality control Process analytical technology Process analytical technologies (pat) Nir Mspc Infrared-spectroscopy Attenuated total reflectance Atr-mir Alcoholic fermentation
Data d'alta del registre: 2023-12-16
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Chemometrics And Intelligent Laboratory Systems. 201 (104011):
Referència de l'ítem segons les normes APA: Cavaglia J; Schorn-García D; Giussani B; Ferré J; Busto O; Aceña L; Mestres M; Boqué R (2020). Monitoring wine fermentation deviations using an ATR-MIR spectrometer and MSPC charts. Chemometrics And Intelligent Laboratory Systems, 201(104011), -. DOI: 10.1016/j.chemolab.2020.104011
Acrònim: EnoPAT
Tipus de publicació: Journal Publications
Codi de projecte 3: 2020 FISDU 00221
Autor segons l'article: Cavaglia J; Schorn-García D; Giussani B; Ferré J; Busto O; Aceña L; Mestres M; Boqué R
Departament: Química Analítica i Química Orgànica
Autor/s de la URV: Aceña Muñoz, Laura / Boqué Martí, Ricard / Busto Busto, Olga / Cavaglia Pietro, Julieta / Ferré Baldrich, Joan / Mestres Solé, Maria Montserrat / Schorn García, Daniel
Resum: © 2020 Despite the winemaker's efforts, deviations such as bacterial spoilage can occur during wine alcoholic fermentation resulting in economic losses and low quality wines. When a deviation is suspected, samples are usually sent to an oenological laboratory for the off-line analysis of specific quality control parameters. The use of ATR-MIR as a fast analytical tool to monitor the fermentation process could be very useful, as getting real-time information of the process allows making readjustments before the process ends. In this study, we aimed at detecting white wine spoilage during alcoholic fermentation due to the action of lactic bacteria using a portable ATR-MIR instrument and MSPC charts. A total of 33 small-scale alcoholic fermentations were conducted (25 in normal operation conditions (NOC) and 8 simulating a bacterial spoilage with the addition of lactic bacteria (MLF)) to evaluate the capability of the MSPC charts to detect deviations from NOC. MSPC control charts were developed based on Q residuals and Hotelling's T2 statistics. Time-wise unfolding was applied to the original three-way data to build different PCA models, obtaining very satisfactory results: MLF samples were detected before the end of alcoholic fermentation in the Q residuals charts after 80 hours and Hotelling T2 chart could also differentiate the samples after 100 hours.
Acció del programa de finançament 2: Ayudas para la contratación de personal investigador novel (FI-2018)
Àrees temàtiques: Statistics & probability Spectroscopy Software Robotics & automatic control Química Process chemistry and technology Mathematics, interdisciplinary applications Matemática / probabilidade e estatística Interdisciplinar Instruments & instrumentation Farmacia Engenharias iv Engenharias iii Engenharias ii Computer science, artificial intelligence Computer science applications Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, analytical Biotecnología Automation & control systems Analytical chemistry
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 01697439
Adreça de correu electrònic de l'autor: laura.acena@urv.cat olga.busto@urv.cat ricard.boque@urv.cat montserrat.mestres@urv.cat joan.ferre@urv.cat daniel.schorn@urv.cat daniel.schorn@urv.cat daniel.schorn@urv.cat
Identificador de l'autor: 0000-0001-5942-9424 0000-0002-2318-6800 0000-0001-7311-4824 0000-0001-9805-3482 0000-0001-6240-413X 0000-0003-0997-2191 0000-0003-0997-2191 0000-0003-0997-2191
Acció del programa de finançament 3: Ayudas de apoyo a departamentos y unidades de investigación universitarios para la contratación de personal investigador predoctoral en formación (FI SDUR 2020)
Codi del projecte 2: FI_B100154
Programa de finançament 2: Agencia de Gestión de Ayudas Universitarias y de Investigación (AGAUR)
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0169743919307038
Programa de finançament: 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 finançament 3: Agencia de Gestión de Ayudas Universitarias y de Investigación (AGAUR)
DOI de l'article: 10.1016/j.chemolab.2020.104011
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2020
Acció del programa de finançament: Ciencias y tecnologías de los alimentos
Repositori URV