LAPSE:2025.0530v1
Published Article
LAPSE:2025.0530v1
Computer-Aided Design and Optimization of Lycopene Production Process from Tomato Waste
June 27, 2025
Abstract
The extraction of lycopene from tomato waste has been largely evaluated at an experimental level, leading to the creation of polynomial models or response surfaces that allow the representation of the extraction behavior. However, these studies are based on laboratory level and an extraction process has not yet been scaled up. This study evaluates the design and optimization of the lycopene extraction process from tomato waste. The proposed model is solved through a link between Python and Aspen Plus, performing the optimization a genetic algorithm (GA) in Pymoo. The minimum value of TAC is 211,692.2 USD/yr, corresponding to a production of 2.29 g/h of lycopene, starting from 1000 kg/h of tomato waste. This work represents a first approach to the design of a commercial-scale lycopene production process.
The extraction of lycopene from tomato waste has been largely evaluated at an experimental level, leading to the creation of polynomial models or response surfaces that allow the representation of the extraction behavior. However, these studies are based on laboratory level and an extraction process has not yet been scaled up. This study evaluates the design and optimization of the lycopene extraction process from tomato waste. The proposed model is solved through a link between Python and Aspen Plus, performing the optimization a genetic algorithm (GA) in Pymoo. The minimum value of TAC is 211,692.2 USD/yr, corresponding to a production of 2.29 g/h of lycopene, starting from 1000 kg/h of tomato waste. This work represents a first approach to the design of a commercial-scale lycopene production process.
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Keywords
lycopene, solvent extraction, Stochastic Optimization, tomato waste
Subject
Suggested Citation
Hernández-Camacho NV, Gómez-Castro FI, Martín M, Rio-Chanona EAD, Lara-Montaño OD. Computer-Aided Design and Optimization of Lycopene Production Process from Tomato Waste. Systems and Control Transactions 4:2355-2360 (2025) https://doi.org/10.69997/sct.121406
Author Affiliations
Hernández-Camacho NV: Universidad de Guanajuato, Campus Guanajuato, División de Ciencias Naturales y Exactas, Departamento de Ingeniería Química, Guanajuato, Guanajuato, Mexico
Gómez-Castro FI: Universidad de Guanajuato, Campus Guanajuato, División de Ciencias Naturales y Exactas, Departamento de Ingeniería Química, Guanajuato, Guanajuato, Mexico
Martín M: Universidad de Salamanca, Departamento de Ingeniería Química, Salamanca, Spain
Rio-Chanona EAD: Imperial College London, Centre for Process Systems Engineering (CPSE), Department of Chemical Engineering, London, United Kingdom
Lara-Montaño OD: Universidad Autónoma de Querétaro, Facultad de Ingeniería, Juriquilla, Querétaro, Mexico
Gómez-Castro FI: Universidad de Guanajuato, Campus Guanajuato, División de Ciencias Naturales y Exactas, Departamento de Ingeniería Química, Guanajuato, Guanajuato, Mexico
Martín M: Universidad de Salamanca, Departamento de Ingeniería Química, Salamanca, Spain
Rio-Chanona EAD: Imperial College London, Centre for Process Systems Engineering (CPSE), Department of Chemical Engineering, London, United Kingdom
Lara-Montaño OD: Universidad Autónoma de Querétaro, Facultad de Ingeniería, Juriquilla, Querétaro, Mexico
Journal Name
Systems and Control Transactions
Volume
4
First Page
2355
Last Page
2360
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 2355-2360-1374-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0530v1
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https://doi.org/10.69997/sct.121406
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Jun 27, 2025
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References Cited
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