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Home»Articles»Mathematical Modeling and Simulation of Enzyme Assisted Bioactive Compound Extraction from Allium Cepa Using Response Surface Methodology

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Asian Journal of Engineering and Applied Technology (AJEAT)

Editor Dr. Seshadri Ramkumar
Print ISSN : 2249-068X
Frequency : Quarterly

Mathematical Modeling and Simulation of Enzyme Assisted Bioactive Compound Extraction from Allium Cepa Using Response Surface Methodology

Author : K. Thirugnanasambandham
Volume 7 No.1 January-June 2018 pp 43-48

Abstract

In this present study, an attempt was made to investigate the enzyme assisted extraction process to extract the phenolic compounds from onion (Allium cepa) under various operating conditions such as temperature, extraction time and enzyme concentration. Three factors three level Box-Behnken response surface design (BBD) coupled with desired function methodlogy was used to optimize and model the extraction process. Optimum extracting conditions for the maximum phenloic compounds were determined and it was found to be: temperature of 40 0C, extraction time of 16 hour and enzyme concentration of 2 %. Under these conditions, 9.25 % of phenolic compound was extracted. Extracted phenolic compounds can be regarded as the promising antioxidants to scavenge the DPPH free radicals.

Keywords

Phenolic compounds, Onion, Enzyme assisted extraction, Modelling, Optimzation

Full Text:

References

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Asian Journal of Engineering and Applied Technology is a peer-reviewed International research journal aiming at promoting and publishing original high quality research in all disciplines of engineering and applied technology. All research articles submitted to AJEAT should be original in nature, never previously published in any journal or presented in a conference or undergoing such process across the world. All the submissions will be peer-reviewed by the panel of experts associated with particular field. Submitted papers should meet the internationally accepted criteria and manuscripts should follow the style of the journal for the purpose of both reviewing and editing.

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In this present study, an attempt was made to investigate the enzyme assisted extraction process to extract the phenolic compounds from onion (Allium cepa) under various operating conditions such as temperature, extraction time and enzyme concentration. Three factors three level Box-Behnken response surface design (BBD) coupled with desired function methodlogy was used to optimize and model the extraction process. Optimum extracting conditions for the maximum phenloic compounds were determined and it was found to be: temperature of 40 0C, extraction time of 16 hour and enzyme concentration of 2 %. Under these conditions, 9.25 % of phenolic compound was extracted. Extracted phenolic compounds can be regarded as the promising antioxidants to scavenge the DPPH free radicals.

Editor-in-Chief
Dr. Seshadri Ramkumar
Department of Environmental Toxicology, Texas Tech University, Texas
[email protected]
Editorial Advisory Board
Dr. Kamarul Ariffin Bin Noordin
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Benjamin T.F. Chung
Department of Mechanical Engineering, University of Akron, Akron, USA
[email protected]
Dr. Mohd Faiz Bin Mohd Salleh
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Suhana Binti Mohd Said
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Norrima Binti Mokhtar
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Mohamadariff
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]

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    Editorial Note

    Editorial Dr. Seshadri Ramkumar

    Editor-in-Chief
    Dr. Seshadri Ramkumar
    Department of Environmental Toxicology, Texas Tech University, Texas
    [email protected]
    Editorial Advisory Board
    Dr. Kamarul Ariffin Bin Noordin
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Benjamin T.F. Chung
    Department of Mechanical Engineering, University of Akron, Akron, USA
    [email protected]
    Dr. Mohd Faiz Bin Mohd Salleh
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Suhana Binti Mohd Said
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Norrima Binti Mokhtar
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Mohamadariff
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]

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