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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/23300
Title: Optimization of Lycopene Extraction from Tomato Processing Waste Skin Using Harmony Search Algorithm
Authors: Assad A.
Deep, K.
Buckley N.
Nagar A.K.
Nagar A.K.
Deep K.
Bansal J.C.
Das K.N.
Published in: Advances in Intelligent Systems and Computing
9th International Conference on Soft Computing for Problem Solving, SocProS 2019
Abstract: The skin of a tomato (Lycopersicon esculentum) is a rich source of lycopene, an important component of waste from tomato paste manufacturing plants. The lycopene content in the skin of a tomato pomace is about five times higher than in the pulp. According to the World Processing Tomato Council, 1,200,000 tons of tomato processing waste is produced worldwide annually. In this study, lycopene extraction from tomato skins is formulated as an optimization problem with respect to five independent variables, namely solvent/meal ratio, temperature, number of extractions, extraction time and particle size. The music-inspired harmony search (HS) metaheuristic algorithm is used to optimize the lycopene production, and the maximum lycopene (4.8 mg/100 g) was predicted when the solvent/meal ratio, temperature, number of extractions, extraction time and particle size is 20:1 v/w, 60 C, 5, 4 min and 0.43 mm, respectively. Response surface analysis (RSM) has been used in (Kaur et al, Food Chem 2008 [1]) to optimize the lycopene yield with respect to these variables, and the maximum yield predicted was 1.99 mg/100 g. Thus, the methodology applied in the present work for optimizing the extraction of lycopene is far better than response surface analysis. Further comparison with particle swarm optimization reveals that HS is more reliable optimization technique to solve the problem at hand. © 2020, Springer Nature Singapore Pte Ltd.
Citation: Advances in Intelligent Systems and Computing (2020), 1139: 141-154
URI: https://doi.org/10.1007/978-981-15-3287-0_11
http://repository.iitr.ac.in/handle/123456789/23300
Issue Date: 2020
Publisher: Springer
Keywords: Evolutionary algorithms
Harmony search
Lycopene
Metaheuristics
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 57189041771
8561208900
56039662200
8840681600
Author Affiliations: Assad, A., Department of Computer Science and Engineering, Islamic University of Science and Technology, Awantipora, 192122, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Buckley, N., Department of Mathematics and Computer Science, Faculty of Science, Liverpool Hope University, Liverpool, L16 9JD, United Kingdom
Nagar, A.K., Department of Mathematics and Computer Science, Faculty of Science, Liverpool Hope University, Liverpool, L16 9JD, United Kingdom
Corresponding Author: Assad, A.; Department of Computer Science and Engineering, India; email: assifassad@gmail.com
Appears in Collections:Conference Publications [MA]

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