Optimization of batch reactors: Application to the biocontrol of spoilage yeasts in wines

Authors

  • Benjamin Kuchen Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) Instituto de Biotecnología, Universidad Nacional de San Juan. San Juan, Argentina https://orcid.org/0000-0002-7622-1825
  • Sofia Alejandra Garay Instituto de Biotecnología, Universidad Nacional de San Juan. Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina. https://orcid.org/0000-0002-8782-8737
  • Rocío Mariel Gil Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) e Instituto de Biotecnología, Universidad Nacional de San Juan (UNSJ). Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina. https://orcid.org/0000-0002-7415-9917
  • Fabio Vazquez Instituto de Biotecnología, Universidad Nacional de San Juan (UNSJ). Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina. https://orcid.org/0000-0002-8045-9035
  • Gustavo Juan Eduardo Scaglia Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) e Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ). Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina. https://orcid.org/0000-0002-0188-0017

Keywords:

Mathematical modeling, Process optimization, Nonlinear systems, Monte Carlo method, Biological control., Mathematical modelling, Process optimization, Nonlinear systems, Monte Carlo method, Biological control

Abstract

In the musts of wines there are spoilage yeasts that produce negative effects on the flavor. To try to eliminate it SO2 is used in wineries. However, this is toxic to human health and the World Health Organization (WHO) promotes an immediate reduction in its consumption. An alternative to the use of SO2 is the addition of killer yeast to eliminate or reduce the undesirable yeast. In previous works, was found that pH is a relevant variable in controlling the population of killer yeast and, for that reason, for the growth of undesirable yeast. It improves the fitness of the killer yeast and the inhibitor. In addition, it is a manipulable variable through the organic acids allowed in wines. Moreover, a new improvement to the mathematical model is proposed, incorporating the parametric variation with pH. Likewise, the new model was simulated using Matlab for the optimization by Monte Carlo method for the minimization of the spoilage yeasts population and the maximization of the growth of the killer. The optimum value for the objectives was pH 3.98. The results of the simulation were validated experimentally. The improved model is a need for the oenology industry, it allows the spoilage yeasts control.

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Author Biographies

Benjamin Kuchen, Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) Instituto de Biotecnología, Universidad Nacional de San Juan. San Juan, Argentina

Benjamín Kuchen is Agronomic Engineer (2015) from the Faculty of Engineering of the National University of San Juan and PhD in agronomy (2020) from the Faculty of Agronomic Sciences of the National University of Cuyo. Professor/Researcher of the Bioprocess Engineering Chair and Research fellow from the National Council of Scientific Research (CONICET), Argentina. At this time is dedicated to research in modelling and optimizing microbial interactions. His main interest is in development of models and process optimization.

Sofia Alejandra Garay, Instituto de Biotecnología, Universidad Nacional de San Juan. Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina.

Sofía Alejandra Garay is advance student in Agronomic Engineering. Probable date of egress: November 2022. Research fellow (CIN). At this time researching on microbial interactions modelling in the must/wine.

Rocío Mariel Gil, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) e Instituto de Biotecnología, Universidad Nacional de San Juan (UNSJ). Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina.

Rocío Mariel Gil is Chemical Engineer (2014) from the Faculty of Engineering of the National University of San Juan and PhD in Chemical Engineering (2022) in the same faculty. Professor/Researcher of the Bioprocess Engineering Cathedra and Research fellow from the National Council of Scientific Research (CONICET), Argentina. At this time, dedicated to the modelling of biogas generating processes. Her main interests in research is the optimization of process in bench bioreactors with microalgae.

Fabio Vazquez, Instituto de Biotecnología, Universidad Nacional de San Juan (UNSJ). Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina.

Fabio Vazquez is License in Biology (1987) from the Faculty of Natural Science and Museum from La Plata, National University of La Plata, Buenos Aires. He is PhD in Natural Science (1994-1999) from the same university. He is exclusive lead Professor from the National University of San Juan since 2006. He was director from numerous doctoral thesis and research in the Biotechnology Institute of the National University of San Juan. His research interests are related to microbial ecology, in particular with microbial interactions and their applications to biotechnological process.

Gustavo Juan Eduardo Scaglia, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) e Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ). Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina.

Gustavo Scaglia received the Ing. degree in Electronic Engineering with orientation in Control Systems from the National University of San Juan, Argentina, in 1999. Then, the PhD in Control Systems from the National University of San Juan, Argentina, in 2006. He is a Researcher of the Council for Scientific and Technological Research (CONICET), Argentina, since 2011. He leads different technological projects and his current scientific research at the Engineering Chemical Institute from National University of San Juan. His main interests include modeling, optimization, and trajectory tracking control of biochemical processes.

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Published

2022-09-28

How to Cite

Kuchen, B., Garay, S. A., Gil, R. M., Vazquez, F., & Scaglia, G. J. E. (2022). Optimization of batch reactors: Application to the biocontrol of spoilage yeasts in wines. IEEE Latin America Transactions, 21(2), 217–225. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6934

Issue

Vol. 21 No. 2 (2023): Ordinary Issue

Section

Computing