Mathematical Modeling for Pectin Extraction in Melon waste

Authors

  • María Laura Montoro Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina https://orcid.org/0000-0002-9213-8917
  • Maria Nadia Pantano Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina https://orcid.org/0000-0003-2549-6535
  • Cecilia Fernandez Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina https://orcid.org/0000-0002-9311-1556
  • Maria Fabiana Sardella Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET https://orcid.org/0000-0002-9233-0722
  • Gustavo Scaglia Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET https://orcid.org/0000-0002-0188-0017

Keywords:

Melon waste, Mathematical Model, Pectin, Second order, Order dynamical system

Abstract

This article proposes a novel model for the extraction of pectin in melon peels and seeds. The methodology is based on the extraction of pectin in an acid medium for 180 minutes at 70, 80, and 90°C, evaluating the performance of the product at each temperature. The kinetics of pectin extraction from melon peels and seeds, regardless of the working temperature, presents three stages: rapid release, then a plateau, followed by smooth growth until reaching the maximum amount of the product extracted. This process can be assimilated as a sequence of subprocesses, each with its own delay time and constants time. Based on the experimental results, each stage or period is mathematically modeled as a second-order linear with delay time. This dynamic model takes into account the work matrix, as well as the extraction mechanism used. The deviation of the model concerning to the experimental data is minimal, compared to the empirical and mechanistic models found in the literature for pectin extraction. The latter are based on oversimplified assumptions, leading to significant disparities between experimentally obtained and mathematically simulated results.

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Author Biographies

María Laura Montoro, Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina

M. Laura Montoro received the Chemical Engineering degree from the National University of San Juan - Argentina, in 2010. Then the Doctorate in Chemical Engineering - Mention Clean Processes degree from the National University of San Juan - Argentina, in 2020. Actually, it is dedicated to the area of new materials, specifically the reuse of waste to generate materials with added value. His main research interests include biofuels, extraction of bioactive compounds, extraction kinetics, modeling.

Maria Nadia Pantano, Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina

M. Nadia Pantano received the Chemical Engineering degree from the National University of San Juan - Argentina, in 2008. Then the Doctorate in Chemical Engineering - Mention Clean Processes degree from the National University of San Juan - Argentina, in 2019. At this time, she is dedicated to process engineering, specifically to optimization and control of multivariable non-linear processes. Her main research interests include modeling, optimization, and trajectory tracking control of biochemical processes.

Cecilia Fernandez, Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martín Oeste 1109, San Juan J5400ARL, Argentina

M. Cecilia Fernández received the Food Processing Engineering degree from the National University of San Juan - Argentina, in 2014. Then the Doctorate in Chemical Engineering-Mention Clean Processes degree from the same University, in 2019. At this time, she works as CONICET Assistant Researcher, her specialty is process engineering, mainly optimization and control of multivariable non-linear processes. Her main research interests include modeling, state estimation, optimization, and trajectory tracking control of biochemical processes

Maria Fabiana Sardella, Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET

M. Fabiana Sardella received a bachelor in Chemical Engeneering from Universidad Nacional de San Juan in 1996. She graduated as Msc in Environmental Technologies in 2004 and achieved the doctoral degree in 2021. She is professor at Universidad Nacional de San Juan since 2003. Her main research interests are in the field of Agroindustrial Residues Valorization and Porous Solids production

Gustavo Scaglia, Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET

Gustavo Scaglia received the Ing. degree in Electronic Engineering with orientation in Control Systems from the National University of San Juan, Argentina, in 1999, and the Ph.D in Control Systems from the Institute of Automatic Control at the Instituto de Automática, Argentina in 2006, his work was about a new tracking trajectories algorithms. He is a Research Fellow of the Council for Scientific and Technological Research, 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 are algorithms for tracking trajectories, nonlinear and adaptive control theory, and mechanical and chemical process.

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Published

2024-09-29

How to Cite

Montoro, M. L., Pantano, M. N. ., Fernandez, C. ., Sardella, M. F., & Scaglia, G. (2024). Mathematical Modeling for Pectin Extraction in Melon waste. IEEE Latin America Transactions, 22(10), 829–834. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/9027

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