Literature DB >> 24423519

Optimisation of low temperature extraction of banana juice using commercial pectinase.

Sorel Tchewonpi Sagu1, Emmanuel Jong Nso1, Sankha Karmakar2, Sirshendu De3.   

Abstract

The objective of this work was to develop a process with optimum conditions for banana juice. The procedure involves hydrolyzing the banana pulp by commercial pectinase followed by cloth filtration. Response surface methodology with Doehlert design was utilised to optimize the process parameters. The temperature of incubation (30-60 °C), time of reaction (20-120 min) and concentration of pectinase (0.01-0.05% v/w) were the independent variables and viscosity, clarity, alcohol insoluble solids (AIS), total polyphenol and protein concentration were the responses. Total soluble sugar, pH, conductivity, calcium, sodium and potassium concentration in the juice were also evaluated. The results showed reduction of AIS and viscosity with reaction time and pectinase concentration and reduction of polyphenol and protein concentration with temperature. Using numerical optimization, the optimum conditions for the enzymatic extraction of banana juice were estimated. Depectinization kinetics was also studied at optimum temperature and variation of kinetic constants with enzyme dose was evaluated.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Banana juice; Enzymatic treatment; Extraction; Optimization; Response surface methodology

Mesh:

Substances:

Year:  2013        PMID: 24423519     DOI: 10.1016/j.foodchem.2013.11.031

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  7 in total

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6.  Multi-Objective Optimization of the Process Parameters in Electric Discharge Machining of 316L Porous Stainless Steel Using Metaheuristic Techniques.

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Journal:  Materials (Basel)       Date:  2022-09-22       Impact factor: 3.748

7.  Chironji (Buchanania lanzan) fruit juice extraction using cellulase enzyme: modelling and optimization of process by artificial neural network and response surface methodology.

Authors:  Dileswar Pradhan; S Abdullah; Rama Chandra Pradhan
Journal:  J Food Sci Technol       Date:  2020-07-13       Impact factor: 2.701

  7 in total

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