Literature DB >> 31477978

Optimization of process parameters for mechanical extraction of banana juice using response surface methodology.

Nuria Majaliwa1,2, Oscar Kibazohi1, Marie Alminger2.   

Abstract

Banana juice is traditionally processed under very basic conditions characterized by low efficiency and poor hygiene. Introduction of mechanical pressing has created opportunities for upgrading banana juice production, but more knowledge is needed about critical factors for juice release and about optimizing extraction for higher yield and quality. This study sought to identify and optimize important factors associated with juice release. This was done using an experimental design (Box-Behnken design of response surface methodology) involving three levels of three independent variables: blending speed (1000-3500 rpm), extraction time (30-240 s), and stage of ripeness (3-7). A second-order polynomial equation was created to describe the relationship between dependent and independent variables. The results showed that juice yield increased with blending speed, extraction time, and stage of ripeness, whereas the quadratic (squared) effect of these factors was a significant decrease in juice yield. Optimum juice yield (57.5%) was obtained at blending speed 2650 rpm, extraction time 162 s, and ripeness stage 5. Analysis of variance showed that stage of ripeness significantly (p ≤ 0.001) affected juice yield. This novel information on the underlying factors in banana juice extraction and on optimization of the process can be used to improve mechanical extraction of low-viscosity, clear banana juice and achieve scaling-up of banana juice processing.

Entities:  

Keywords:  Banana juice; Mechanical juice extraction; Optimization; Response surface methodology

Year:  2019        PMID: 31477978      PMCID: PMC6706492          DOI: 10.1007/s13197-019-03875-7

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  2 in total

1.  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

2.  Experimental and Mathematical Modelling of Factors Influencing Carbon Dioxide Absorption into the Aqueous Solution of Monoethanolamine and 1-Butyl-3-methylimidazolium Dibutylphosphate Using Response Surface Methodology (RSM).

Authors:  Fatin Nor Arissa Azhar; Mohd Faisal Taha; Siti Musliha Mat Ghani; Muhammad Syafiq Hazwan Ruslan; Noor Mona Md Yunus
Journal:  Molecules       Date:  2022-03-08       Impact factor: 4.411

  2 in total

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