Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology

Kojic acid is an organic acid that has manifold industrial applications mainly in cosmetics, food and medicine. This research aims to optimise the production of kojic acid from sago fibre using a locally isolated Aspergillus flavus strain under solid-state fermentation (SSF). Central Composite Desig...

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Main Authors: Dayang Salwani, Binti Awang Adeni, Alvin Miai, Spencer Empading, Nurashikin, Binti Suhaili, Ahmad, Husaini, Kopli, Bin Bujang
Format: Article
Language:English
Published: Borneo Journal of Resource Science and Technology (BJRST) 2019
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Online Access:http://ir.unimas.my/id/eprint/28681/1/Dayang%20Salwani%2C%20Binti%20Awang%20Adeni.pdf
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Institution: Universiti Malaysia Sarawak
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spelling my.unimas.ir.286812021-04-28T23:27:27Z http://ir.unimas.my/id/eprint/28681/ Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology Dayang Salwani, Binti Awang Adeni Alvin Miai, Spencer Empading Nurashikin, Binti Suhaili Ahmad, Husaini Kopli, Bin Bujang Q Science (General) QR Microbiology Kojic acid is an organic acid that has manifold industrial applications mainly in cosmetics, food and medicine. This research aims to optimise the production of kojic acid from sago fibre using a locally isolated Aspergillus flavus strain under solid-state fermentation (SSF). Central Composite Design (CCD) of Response Surface Methodology (RSM) consisting of 5 factors and 5 levels were employed to determine the influence of culture conditions such as initial moisture content (50-90% (v/w)), inoculum density (5-35% (v/w)), urea concentration (0.5-3.5% (w/w)), mineral salts solution (5-35% (v/w)) and incubation time (9-21 days) on kojic acid production. The results showed that the data were best represented by a quadratic model where the significant factors for kojic acid production were identified as inoculum density and incubation time with their optimal values of 30% (v/w) and 18 days, respectively. The maximum production of kojic acid achieved in this study represented a 2-fold increase from that achieved in the non-optimised conditions. In summary, this work describes the optimisation of kojic acid production from sago fibre employing RSM. In addition, this research represents a further step towards developing a sustainable production of kojic acid employing an eco-friendly and low-cost indigenous feedstock. Borneo Journal of Resource Science and Technology (BJRST) 2019 Article PeerReviewed text en http://ir.unimas.my/id/eprint/28681/1/Dayang%20Salwani%2C%20Binti%20Awang%20Adeni.pdf Dayang Salwani, Binti Awang Adeni and Alvin Miai, Spencer Empading and Nurashikin, Binti Suhaili and Ahmad, Husaini and Kopli, Bin Bujang (2019) Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology. Borneo Journal of Resource Science and Technology, 9 (2). pp. 94-100. ISSN 0128-2972 http://www.bjrst.unimas.my/ DOI: https:doi.org/10.33736/bjrst.1782.2019
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic Q Science (General)
QR Microbiology
spellingShingle Q Science (General)
QR Microbiology
Dayang Salwani, Binti Awang Adeni
Alvin Miai, Spencer Empading
Nurashikin, Binti Suhaili
Ahmad, Husaini
Kopli, Bin Bujang
Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology
description Kojic acid is an organic acid that has manifold industrial applications mainly in cosmetics, food and medicine. This research aims to optimise the production of kojic acid from sago fibre using a locally isolated Aspergillus flavus strain under solid-state fermentation (SSF). Central Composite Design (CCD) of Response Surface Methodology (RSM) consisting of 5 factors and 5 levels were employed to determine the influence of culture conditions such as initial moisture content (50-90% (v/w)), inoculum density (5-35% (v/w)), urea concentration (0.5-3.5% (w/w)), mineral salts solution (5-35% (v/w)) and incubation time (9-21 days) on kojic acid production. The results showed that the data were best represented by a quadratic model where the significant factors for kojic acid production were identified as inoculum density and incubation time with their optimal values of 30% (v/w) and 18 days, respectively. The maximum production of kojic acid achieved in this study represented a 2-fold increase from that achieved in the non-optimised conditions. In summary, this work describes the optimisation of kojic acid production from sago fibre employing RSM. In addition, this research represents a further step towards developing a sustainable production of kojic acid employing an eco-friendly and low-cost indigenous feedstock.
format Article
author Dayang Salwani, Binti Awang Adeni
Alvin Miai, Spencer Empading
Nurashikin, Binti Suhaili
Ahmad, Husaini
Kopli, Bin Bujang
author_facet Dayang Salwani, Binti Awang Adeni
Alvin Miai, Spencer Empading
Nurashikin, Binti Suhaili
Ahmad, Husaini
Kopli, Bin Bujang
author_sort Dayang Salwani, Binti Awang Adeni
title Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology
title_short Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology
title_full Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology
title_fullStr Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology
title_full_unstemmed Optimising Production of Kojic Acid from Sago Fibre by Solid-State Fermentation Using Response Surface Methodology
title_sort optimising production of kojic acid from sago fibre by solid-state fermentation using response surface methodology
publisher Borneo Journal of Resource Science and Technology (BJRST)
publishDate 2019
url http://ir.unimas.my/id/eprint/28681/1/Dayang%20Salwani%2C%20Binti%20Awang%20Adeni.pdf
http://ir.unimas.my/id/eprint/28681/
http://www.bjrst.unimas.my/
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