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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
John Wiley & Sons Ltd
2020
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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. |
---|