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Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology

In this article, three variables including laccase dose, 2,2'-Azinobis-(3-ethylbenzothiazoline-6-sulfonate) (ABTS) dose and pH were used to modeling of Direct Red 81 (DR81) elimination from aqueous solutions by laccase-mediated system. Obtained data indicated that the predicted and experimental...

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Autores principales: Kamani, Hossein, Safari, Gholam Hossein, Asgari, Ghorban, Ashrafi, Seyed Davoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996167/
https://www.ncbi.nlm.nih.gov/pubmed/29896495
http://dx.doi.org/10.1016/j.dib.2018.03.012
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author Kamani, Hossein
Safari, Gholam Hossein
Asgari, Ghorban
Ashrafi, Seyed Davoud
author_facet Kamani, Hossein
Safari, Gholam Hossein
Asgari, Ghorban
Ashrafi, Seyed Davoud
author_sort Kamani, Hossein
collection PubMed
description In this article, three variables including laccase dose, 2,2'-Azinobis-(3-ethylbenzothiazoline-6-sulfonate) (ABTS) dose and pH were used to modeling of Direct Red 81 (DR81) elimination from aqueous solutions by laccase-mediated system. Obtained data indicated that the predicted and experimental values were close for DR81 elimination, and the regression was also able to give a good prediction of response for DR81 elimination (R-Squared = 0.9983). From the experimental, the highest elimination of the DR81 was 95. 5% after 30 min incubation at pH 5, temperature 40 °C, ABTS 0.2 mM, and initial concentration of DR81 50 mg L(−1) in the presence of 0.2 U mL(−1) of the laccase. The data showed that the laccase can be used as a "green" technology for treating of dyes from aqueous solutions. Data analysis was performed using Design-Expert version 7.0.0 (Stat-Ease, trial version).
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spelling pubmed-59961672018-06-12 Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology Kamani, Hossein Safari, Gholam Hossein Asgari, Ghorban Ashrafi, Seyed Davoud Data Brief Environmental Sciences    In this article, three variables including laccase dose, 2,2'-Azinobis-(3-ethylbenzothiazoline-6-sulfonate) (ABTS) dose and pH were used to modeling of Direct Red 81 (DR81) elimination from aqueous solutions by laccase-mediated system. Obtained data indicated that the predicted and experimental values were close for DR81 elimination, and the regression was also able to give a good prediction of response for DR81 elimination (R-Squared = 0.9983). From the experimental, the highest elimination of the DR81 was 95. 5% after 30 min incubation at pH 5, temperature 40 °C, ABTS 0.2 mM, and initial concentration of DR81 50 mg L(−1) in the presence of 0.2 U mL(−1) of the laccase. The data showed that the laccase can be used as a "green" technology for treating of dyes from aqueous solutions. Data analysis was performed using Design-Expert version 7.0.0 (Stat-Ease, trial version). Elsevier 2018-03-08 /pmc/articles/PMC5996167/ /pubmed/29896495 http://dx.doi.org/10.1016/j.dib.2018.03.012 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Sciences   
Kamani, Hossein
Safari, Gholam Hossein
Asgari, Ghorban
Ashrafi, Seyed Davoud
Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology
title Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology
title_full Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology
title_fullStr Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology
title_full_unstemmed Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology
title_short Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology
title_sort data on modeling of enzymatic elimination of direct red 81 using response surface methodology
topic Environmental Sciences   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996167/
https://www.ncbi.nlm.nih.gov/pubmed/29896495
http://dx.doi.org/10.1016/j.dib.2018.03.012
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