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Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches

Optimization of the process parameters for the extraction of a product from a solid substrate after bioconversion is essentially important tomaximize the yield. The extraction of citric acid from the solid substrate of oil palm empty fruit bunches (EFB) after bioconversion was initially optimized by...

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Main Authors: Bari, Md Niamul, Alam, Md Zahangir, Mamun, Abdullah Al, Khatun, Hanufa
Format: Article
Language:English
Published: John Wiley & Sons Ltd 2020
Subjects:
TD169 Environmental protection
TD785 Municipal refuse. Solid waste
Online Access:http://irep.iium.edu.my/82967/1/82967_Statistical%20optimization%20of%20the%20extraction%20of%20citric%20acid_ft.pdf
http://irep.iium.edu.my/82967/
https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.12186
https://doi.org/10.1002/eng2.12186
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spelling my.iium.irep.829672020-09-15T03:15:09Z http://irep.iium.edu.my/82967/ Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches Bari, Md Niamul Alam, Md Zahangir Mamun, Abdullah Al Khatun, Hanufa TD169 Environmental protection TD785 Municipal refuse. Solid waste Optimization of the process parameters for the extraction of a product from a solid substrate after bioconversion is essentially important tomaximize the yield. The extraction of citric acid from the solid substrate of oil palm empty fruit bunches (EFB) after bioconversion was initially optimized by following single factor variation. Following this, the extraction parameters were optimized statistically with the help of experimental design by Box-Behnken Design under Response Surface Methodology through the development of a second order regression model. The statistical analysis of the result showed that in the range studied all three factors, that is, shaking speed, solvent ratio, and shaking time, had a significant influence on the citric acid extraction. The highest amount of citric acid extracted was 337.34±1.1 g/kg-dry EFB, for which the extraction parameterswere a shaking speed of 125 rpm, a shaking time of 58.5 minutes, and a solvent ratio of 10.70. The coefficient of determination observed (R2) from the analysis was .9921, indicating a satisfactory fit of the model with the response. The analysis showed that all the terms of the model were highly significant with the P-value <.05. John Wiley & Sons Ltd 2020-07-19 Article PeerReviewed application/pdf en http://irep.iium.edu.my/82967/1/82967_Statistical%20optimization%20of%20the%20extraction%20of%20citric%20acid_ft.pdf Bari, Md Niamul and Alam, Md Zahangir and Mamun, Abdullah Al and Khatun, Hanufa (2020) Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches. Engineering Reports, 2 (8). pp. 1-13. E-ISSN 2577-8196 https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.12186 https://doi.org/10.1002/eng2.12186
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TD169 Environmental protection
TD785 Municipal refuse. Solid waste
spellingShingle TD169 Environmental protection
TD785 Municipal refuse. Solid waste
Bari, Md Niamul
Alam, Md Zahangir
Mamun, Abdullah Al
Khatun, Hanufa
Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches
description Optimization of the process parameters for the extraction of a product from a solid substrate after bioconversion is essentially important tomaximize the yield. The extraction of citric acid from the solid substrate of oil palm empty fruit bunches (EFB) after bioconversion was initially optimized by following single factor variation. Following this, the extraction parameters were optimized statistically with the help of experimental design by Box-Behnken Design under Response Surface Methodology through the development of a second order regression model. The statistical analysis of the result showed that in the range studied all three factors, that is, shaking speed, solvent ratio, and shaking time, had a significant influence on the citric acid extraction. The highest amount of citric acid extracted was 337.34±1.1 g/kg-dry EFB, for which the extraction parameterswere a shaking speed of 125 rpm, a shaking time of 58.5 minutes, and a solvent ratio of 10.70. The coefficient of determination observed (R2) from the analysis was .9921, indicating a satisfactory fit of the model with the response. The analysis showed that all the terms of the model were highly significant with the P-value <.05.
format Article
author Bari, Md Niamul
Alam, Md Zahangir
Mamun, Abdullah Al
Khatun, Hanufa
author_facet Bari, Md Niamul
Alam, Md Zahangir
Mamun, Abdullah Al
Khatun, Hanufa
author_sort Bari, Md Niamul
title Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches
title_short Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches
title_full Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches
title_fullStr Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches
title_full_unstemmed Statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches
title_sort statistical optimization of the extraction of citric acid from the solid fermented substrate of empty fruit bunches
publisher John Wiley & Sons Ltd
publishDate 2020
url http://irep.iium.edu.my/82967/1/82967_Statistical%20optimization%20of%20the%20extraction%20of%20citric%20acid_ft.pdf
http://irep.iium.edu.my/82967/
https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.12186
https://doi.org/10.1002/eng2.12186
_version_ 1678592819943440384
score 13.211869

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