Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source

As an approach for bioremediation, the decomposition of acrylamide by microorganisms has received gradual but persistent worldwide interest. Prior to this study, a molybdenum-reducing bacteria had been identified and exhibited the ability to breakdown amides. Its key growth parameters on acrylamide...

Full description

Saved in:
Bibliographic Details
Main Authors: Rahman, Mohd Fadhil, Khayat, Mohd Ezuan, Abd EL-Mongy, Mahmoud, Mohd Yakasai, Hafeez, Uba, Garba, Yasid, Nur Adeela, Shukor, Mohd Yunus
Format: Article
Published: Hibiscus Publisher Enterprise 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100646/
https://journal.hibiscuspublisher.com/index.php/JEMAT/article/view/735
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.100646
record_format eprints
spelling my.upm.eprints.1006462023-09-21T07:38:21Z http://psasir.upm.edu.my/id/eprint/100646/ Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source Rahman, Mohd Fadhil Khayat, Mohd Ezuan Abd EL-Mongy, Mahmoud Mohd Yakasai, Hafeez Uba, Garba Yasid, Nur Adeela Shukor, Mohd Yunus As an approach for bioremediation, the decomposition of acrylamide by microorganisms has received gradual but persistent worldwide interest. Prior to this study, a molybdenum-reducing bacteria had been identified and exhibited the ability to breakdown amides. Its key growth parameters on acrylamide were further investigated. A Central Composite Design (CCD) was employed to optimize the two previously identified key factors (incubation time and acrylamide concentration). For the examination of the significant factors or parameters, ANOVA, the perturbation plot, and numerous other diagnostic plots were employed. Using the "Numerical Optimisation" toolbox of Design Expert software, predicted ideal conditions were calculated. There were two ideal conditions investigated. The first was to determine the optimal growth under the employed range of variables, while the second was to forecast the optimal growth at the greatest acceptable acrylamide concentration of 1 g/L. The solution for the first predicted model predicted a maximum growth of 8.96 Log CFU/mL (95 percent confidence interval from 8.19 to 9.73), which was confirmed by experimental results with a growth of 9.88 Log CFU/mL (95 percent confidence interval from 9.79 to 9.97), which was close to the predicted values but significantly greater than the predicted values. The second numerical optimization for maximum growth with the highest acrylamide content. The solution had a predicted maximum growth of 7.81 Log CFU/mL (95 percent C.I. from 7.06 to 8.57) and was experimentally confirmed to have a growth of 8.74 Log CFU/mL (95 percent C.I. from 8.56 to 8.92), with the difference not being statistically significant (p0.05) indicating close agreement between predicted and experimental values. The findings of the RSM exercise demonstrated that growth on acrylamide may be optimized more efficiently with RSM than with OFAT, indicating that RSM is more useful in this regard than OFAT. Hibiscus Publisher Enterprise 2022-12-31 Article PeerReviewed Rahman, Mohd Fadhil and Khayat, Mohd Ezuan and Abd EL-Mongy, Mahmoud and Mohd Yakasai, Hafeez and Uba, Garba and Yasid, Nur Adeela and Shukor, Mohd Yunus (2022) Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source. Journal of Environmental Microbiology and Toxicology, 10 (2). 13 - 22. ISSN 2289-5906 https://journal.hibiscuspublisher.com/index.php/JEMAT/article/view/735 10.54987/jemat.v10i2.735
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description As an approach for bioremediation, the decomposition of acrylamide by microorganisms has received gradual but persistent worldwide interest. Prior to this study, a molybdenum-reducing bacteria had been identified and exhibited the ability to breakdown amides. Its key growth parameters on acrylamide were further investigated. A Central Composite Design (CCD) was employed to optimize the two previously identified key factors (incubation time and acrylamide concentration). For the examination of the significant factors or parameters, ANOVA, the perturbation plot, and numerous other diagnostic plots were employed. Using the "Numerical Optimisation" toolbox of Design Expert software, predicted ideal conditions were calculated. There were two ideal conditions investigated. The first was to determine the optimal growth under the employed range of variables, while the second was to forecast the optimal growth at the greatest acceptable acrylamide concentration of 1 g/L. The solution for the first predicted model predicted a maximum growth of 8.96 Log CFU/mL (95 percent confidence interval from 8.19 to 9.73), which was confirmed by experimental results with a growth of 9.88 Log CFU/mL (95 percent confidence interval from 9.79 to 9.97), which was close to the predicted values but significantly greater than the predicted values. The second numerical optimization for maximum growth with the highest acrylamide content. The solution had a predicted maximum growth of 7.81 Log CFU/mL (95 percent C.I. from 7.06 to 8.57) and was experimentally confirmed to have a growth of 8.74 Log CFU/mL (95 percent C.I. from 8.56 to 8.92), with the difference not being statistically significant (p0.05) indicating close agreement between predicted and experimental values. The findings of the RSM exercise demonstrated that growth on acrylamide may be optimized more efficiently with RSM than with OFAT, indicating that RSM is more useful in this regard than OFAT.
format Article
author Rahman, Mohd Fadhil
Khayat, Mohd Ezuan
Abd EL-Mongy, Mahmoud
Mohd Yakasai, Hafeez
Uba, Garba
Yasid, Nur Adeela
Shukor, Mohd Yunus
spellingShingle Rahman, Mohd Fadhil
Khayat, Mohd Ezuan
Abd EL-Mongy, Mahmoud
Mohd Yakasai, Hafeez
Uba, Garba
Yasid, Nur Adeela
Shukor, Mohd Yunus
Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source
author_facet Rahman, Mohd Fadhil
Khayat, Mohd Ezuan
Abd EL-Mongy, Mahmoud
Mohd Yakasai, Hafeez
Uba, Garba
Yasid, Nur Adeela
Shukor, Mohd Yunus
author_sort Rahman, Mohd Fadhil
title Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source
title_short Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source
title_full Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source
title_fullStr Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source
title_full_unstemmed Central composite design-based optimization of Staphylococcus sp. strain Amr-15 growth on acrylamide as a nitrogen source
title_sort central composite design-based optimization of staphylococcus sp. strain amr-15 growth on acrylamide as a nitrogen source
publisher Hibiscus Publisher Enterprise
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100646/
https://journal.hibiscuspublisher.com/index.php/JEMAT/article/view/735
_version_ 1781706679136550912
score 13.160551