A three-phase mathematical model to monitor alcoholic fermentation and phenolic extraction of Vitis Vinifera L. red wines

The main goal of this study was to explore the development and validation of a dynamic mathematical model to describe the oenological and phenolic development during the alcoholic fermentation process of red wines. A three-phase model including the cap, must and lees phases was attempted. The model uses grape compositional data to forecast the expected progression of phenolic extraction and production of fermentative products. The likelihood of the calculated parameters was tested on a new set of fermentations to assess model accuracy and robustness. In addition, the model parameters were explored to determine the range of applicability of the proposed mathematical model. For the must phase, the phenolic and some of the most relevant oenological parameters have shown R 2 often higher than 0.8 and mean average predictive error (MAPE) below 20 % indicating comparable levels of accuracy to those presented in literature while also expanding on the number of components of interest. Moreover, model validation has shown that model performance can be affected by fermentation temperature, especially when fermentations are conducted at higher temperatures (28 °C). The mathematical model presented in this study was able to accurately forecast the fermentation kinetics of both phenolic and oenological parameters. The model incorporated the polymerisation of anthocyanins and the transfer of compounds to the lees phase representing a step forward in understanding the kinetics of red wine fermentation and contributes to the development of future methods for monitoring and controlling red wine fermentations. • A three-phase mathematical model to describe red wine fermentations is proposed. • Grape compositional data is used to forecast phenolics and alcoholic fermentation. • Phenolics and relevant oenological parameters in the must showed R2>0.8 and MAPE<20 %. • Anthocyanin polymerisation and transfer of compounds to the lees was modelled.

Authors

Institutions

Publication Details

Journal
Journal of Food Engineering
Published
2025-12-20
DOI
https://doi.org/10.1016/j.jfoodeng.2025.112932
Citations
1
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A three-phase mathematical model to monitor alcoholic fermentation and phenolic extraction of Vitis Vinifera L. red wines

Tobias Louw, Jose Luis Aleixandre-Tudo, Wessel du Toit, Kiera Lambrecht
1 citations
Journal of Food Engineering
Fermentation and Sensory Analysis
1.16
article

A three-phase mathematical model to monitor alcoholic fermentation and phenolic extraction of Vitis Vinifera L. red wines

Tobias Louw, Jose Luis Aleixandre-Tudo, Wessel du Toit, Kiera Lambrecht
article en
1 citations

Abstract

The main goal of this study was to explore the development and validation of a dynamic mathematical model to describe the oenological and phenolic development during the alcoholic fermentation process of red wines. A three-phase model including the cap, must and lees phases was attempted. The model uses grape compositional data to forecast the expected progression of phenolic extraction and production of fermentative products. The likelihood of the calculated parameters was tested on a new set of fermentations to assess model accuracy and robustness. In addition, the model parameters were explored to determine the range of applicability of the proposed mathematical model. For the must phase, the phenolic and some of the most relevant oenological parameters have shown R 2 often higher than 0.8 and mean average predictive error (MAPE) below 20 % indicating comparable levels of accuracy to those presented in literature while also expanding on the number of components of interest. Moreover, model validation has shown that model performance can be affected by fermentation temperature, especially when fermentations are conducted at higher temperatures (28 °C). The mathematical model presented in this study was able to accurately forecast the fermentation kinetics of both phenolic and oenological parameters. The model incorporated the polymerisation of anthocyanins and the transfer of compounds to the lees phase representing a step forward in understanding the kinetics of red wine fermentation and contributes to the development of future methods for monitoring and controlling red wine fermentations. • A three-phase mathematical model to describe red wine fermentations is proposed. • Grape compositional data is used to forecast phenolics and alcoholic fermentation. • Phenolics and relevant oenological parameters in the must showed R2>0.8 and MAPE<20 %. • Anthocyanin polymerisation and transfer of compounds to the lees was modelled.

Journal of Food EngineeringVol. 410
Stellenbosch University (ZA), Universitat Politècnica de València (ES)
Openalex Percentile: Top 15%
Fermentation and Sensory Analysis
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.