Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase

This study investigates using an alkaline phosphatase enzyme isolated from Bacillus cereus to decontaminate heavy metals. The experiments were performed with several process parameters, including substrate concentration, pH, and temperature. To optimize the best experimental conditions, they were es...

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Main Authors: Virendra Vaishnav, Tanushree Chatterjee, Manisha Agrawal
Format: Article
Language:English
Published: Plovdiv University Press 2025-01-01
Series:Journal of BioScience and Biotechnology
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Online Access:https://editorial.uni-plovdiv.bg/index.php/JBB/article/view/544/391
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author Virendra Vaishnav
Tanushree Chatterjee
Manisha Agrawal
author_facet Virendra Vaishnav
Tanushree Chatterjee
Manisha Agrawal
author_sort Virendra Vaishnav
collection DOAJ
description This study investigates using an alkaline phosphatase enzyme isolated from Bacillus cereus to decontaminate heavy metals. The experiments were performed with several process parameters, including substrate concentration, pH, and temperature. To optimize the best experimental conditions, they were estimated by using a central composite experimental design combined with response surface methodology (RSM). Variables were concentration of substrate ((p-NPP 14 to 17 mM), pH 8 to 10.5, and temperature (35 to 45oC). Statistical analysis of variance (ANOVA) was performed to classify the competence of the developed model and revealed a good understanding between the experimental data and the proposed model. The highest enzymatic activity 25.73 units/ml was identified by the RSM with the following optimal set of parameters: concentration of substrate 15.5 mM, pH 9.25, and temperature 34oC. The accuracy of the predicted model optimum parameters was confirmed by experimenting under the same parameters. It was found that the experimental enzyme activity efficiency under optimum conditions was very close (less than a 3% error) to the model-predicted value. The removal efficiency of each heavy metal was found to be in the following order: Hg >Pb>As.
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publisher Plovdiv University Press
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series Journal of BioScience and Biotechnology
spelling doaj-art-43090d2200f54e8da33b45916ea990482025-01-28T07:30:36ZengPlovdiv University PressJournal of BioScience and Biotechnology1314-62381314-62462025-01-0113213914610.69085/jbb20242139Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphataseVirendra Vaishnav0Tanushree Chatterjee1Manisha Agrawal2Department of Biotechnology, Raipur Institute of Technology, Raipur, Chhattisgarh, IndiaDepartment of Biotechnology, Raipur Institute of Technology, Raipur, Chhattisgarh, IndiaDepartment of Chemistry, Rungta College of Engineering and Technology Raipur, Chhattisgarh, IndiaThis study investigates using an alkaline phosphatase enzyme isolated from Bacillus cereus to decontaminate heavy metals. The experiments were performed with several process parameters, including substrate concentration, pH, and temperature. To optimize the best experimental conditions, they were estimated by using a central composite experimental design combined with response surface methodology (RSM). Variables were concentration of substrate ((p-NPP 14 to 17 mM), pH 8 to 10.5, and temperature (35 to 45oC). Statistical analysis of variance (ANOVA) was performed to classify the competence of the developed model and revealed a good understanding between the experimental data and the proposed model. The highest enzymatic activity 25.73 units/ml was identified by the RSM with the following optimal set of parameters: concentration of substrate 15.5 mM, pH 9.25, and temperature 34oC. The accuracy of the predicted model optimum parameters was confirmed by experimenting under the same parameters. It was found that the experimental enzyme activity efficiency under optimum conditions was very close (less than a 3% error) to the model-predicted value. The removal efficiency of each heavy metal was found to be in the following order: Hg >Pb>As.https://editorial.uni-plovdiv.bg/index.php/JBB/article/view/544/391bacillus cereusalkaline phosphatesresponse surface methodologybio-precipitation
spellingShingle Virendra Vaishnav
Tanushree Chatterjee
Manisha Agrawal
Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase
Journal of BioScience and Biotechnology
bacillus cereus
alkaline phosphates
response surface methodology
bio-precipitation
title Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase
title_full Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase
title_fullStr Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase
title_full_unstemmed Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase
title_short Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase
title_sort response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase
topic bacillus cereus
alkaline phosphates
response surface methodology
bio-precipitation
url https://editorial.uni-plovdiv.bg/index.php/JBB/article/view/544/391
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AT manishaagrawal responsesurfacemethodologicalapproachforoptimizingtheenzymeactivityandenzymaticallymediatedbioprecipitationofheavymetalsbyalkalinephosphatase