Modelling and Optimization of Ultrasound Assisted Extraction of Polyphenols Using Response Surface Methodology

Junior Franck Ekorong Akouan Anta, Biloa Dorothée Marcelle, Bruno Fabrice Siewe and Raghavarao K. S. M. S.
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Junior Franck Ekorong Akouan Anta: Department of Environmental Technology, Food Technology, and molecular Biotechnology, Ghent University Global Campus, Incheon, South Korea, 119 Songdomunhwa-ro, Yeonsu-gu, Incheon 21985, Republic of Korea; Department of Food Technology, Safety and Health, Faculty of Bioscience, engineering, Ghent University, Belgium, Coupure Links 653, Block B 9000 Ghent
Biloa Dorothée Marcelle: National Committee of Technology Development, Ministry of Scientific Research and Innovation, Yaoundé, Cameroon, P. O. Box 1457 Yaoundé Cameron; Department of Food Science and Nutrition, National advanced School of Agro-Industrial Sciences, University of Ngaoundere, Ngaoundere, Cameroon, P. O. Box 455 Ngaoundéré, Cameroon
Bruno Fabrice Siewe: Department of Meat and Marine Sciences, CSIR- Central Food Technological Research Institute, Mysuru, 570020, India
Raghavarao K. S. M. S.: Food Engineering Department, CSIR- Central Food Technological Research Institute, Mysuru, 570020, India

European Journal of Engineering and Technology Research, 2020, vol. 5, issue 9, 1004-1012

Abstract: Mango seed kernels are by-products of the consumption and transformation of mango fruits (Mangifera indica L.). Many ways of valorisation have been proposed, and among them, their phenolic compounds extraction. To increase the extraction yield, ultrasound-assisted extraction was modelled and optimized. The 4 factors Central Composite design associated with the Response Surface Methodology (RSM) were used to achieve that goal. The effect of extraction time, temperature, stirring rate and the Ultrasound Amplitude, on the total phenolic compound extraction yield and the total reducing power of the extract, were studied and modelled. The modelling allows us to do a multi-response optimization to identify the best-operating conditions to achieve at the same time the highest extraction yield and antioxidant capacity. The optimal operating conditions achieved were 41.82 min of extraction time, 54.75?C as extraction time, under 266.67 rpm as stirring rate, and 100% ultrasound amplitude. With an expected extraction yield of 71.35 mg GA/g, and 123.058 mg AA/g of total reducing power. 2 extraction cycles, under these conditions, are enough to extract a maximum of the phenolic content, under the described conditions.

Keywords: Ultrasound-Assisted Extraction; Mango Seed Kernels; Phenolic Compounds; Total Reducing Power; Extraction Optimization; Response Surface Methodology (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:5:y:2020:i:9:id:62115

DOI: 10.24018/ejeng.2020.5.9.2115

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