Project code: AGL2015-70106-R, AEI/FEDER, UE

Keywords: Wine fermentation Wine Vibrational spectroscopy Trends Process monitoring Process analytical technology Process analytical technologies Parameters Malolactic fermentation contamination Grape Diversity Attenuated total reflectance Atr-mir Alcoholic fermentation

Record's date: 2023-02-22

Papper version: info:eu-repo/semantics/acceptedVersion

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Food Control. 109 (UNSP 106947):

APA: Cavaglia, Julieta; Schorn-Garcia, Daniel; Giussani, Barbara; Ferre, Joan; Busto, Olga; Acena, Laura; Mestres, Montserrat; Boque, Ricard; (2020). ATR-MIR spectroscopy and multivariate analysis in alcoholic fermentation monitoring and lactic acid bacteria spoilage detection. Food Control, 109(UNSP 106947), -. DOI: 10.1016/j.foodcont.2019.106947

Acronym: EnoPAT

Publication Type: Journal Publications

Project code 3: 2020 FISDU 00221

Author, as appears in the article.: Cavaglia, Julieta; Schorn-Garcia, Daniel; Giussani, Barbara; Ferre, Joan; Busto, Olga; Acena, Laura; Mestres, Montserrat; Boque, Ricard;

Department: Química Analítica i Química Orgànica

URV's Author/s: Aceña Muñoz, Laura / Boqué Martí, Ricard / Busto Busto, Olga / Ferré Baldrich, Joan / Mestres Solé, Maria Montserrat / Schorn García, Daniel

Abstract: Wine production processes still rely on post-production evaluation and off-site laboratory analyses to ensure the quality of the final product. Here we propose an at-line methodology that combines a portable ATR-MIR spectrometer and multivariate analysis to control the alcoholic fermentation process and to detect wine fermentation problems. In total, 36 microvinifications were conducted, 14 in normal fermentation conditions (NFC) and 22 intentionally contaminated fermentations (ICF) with different lactic acid bacteria (LAB) concentrations. ATR-MIR measurements were collected during alcoholic and malolactic fermentations and relative density, pH, and L-malic acid were analyzed by traditional methods. Partial Least Squares Regression could suitably predict density and pH in fermenting samples (root mean squared errors of prediction of 0.0014 g mL(-1) and 0.06 respectively). With regard to ICF, LAB contamination was detected by multivariate discriminant analysis when the difference in L-malic acid concentration between NFC and ICF was in the order of 0.7-0.8 g L-1, before the end of malolactic fermentation. This methodology shows great potential as a fast and simple at-line analysis tool for detecting fermentation problems at an early stage.

Program founding action 2: Ayudas para la contratación de personal investigador novel (FI-2018)

Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Nutrição Medicina veterinaria Medicina ii Materiais Interdisciplinar Geociências Food science & technology Food science Farmacia Ensino Engenharias iii Engenharias ii Engenharias i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biotechnology & applied microbiology Biotechnology Biodiversidade Astronomia / física Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo

licence for use: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 09567135

Author's mail: daniel.schorn@urv.cat laura.acena@urv.cat olga.busto@urv.cat ricard.boque@urv.cat montserrat.mestres@urv.cat joan.ferre@urv.cat daniel.schorn@urv.cat

Author identifier: 0000-0003-0997-2191 0000-0001-5942-9424 0000-0002-2318-6800 0000-0001-7311-4824 0000-0001-9805-3482 0000-0001-6240-413X 0000-0003-0997-2191

Founding program action 3: Ayudas de apoyo a departamentos y unidades de investigación universitarios para la contratación de personal investigador predoctoral en formación (FI SDUR 2020)

Project code 2: FI_B100154

Founding program 2: Agencia de Gestión de Ayudas Universitarias y de Investigación (AGAUR)

Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0956713519305365

Funding program: 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

Founding program 3: Agencia de Gestión de Ayudas Universitarias y de Investigación (AGAUR)

Article's DOI: 10.1016/j.foodcont.2019.106947

Entity: Universitat Rovira i Virgili

Journal publication year: 2020

Funding program action: Ciencias y tecnologías de los alimentos