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Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica

The textile industry generates huge volumes of colored wastewater that require multiple treatments to remove persistent toxic and carcinogenic dyes. Here we studied the decolorization of a recalcitrant azo dye, Reactive Black 5, using laccase-like active cell-free supernatant from Coriolopsis gallic...

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Autores principales: Ben Ayed, Amal, Hadrich, Bilel, Sciara, Giuliano, Lomascolo, Anne, Bertrand, Emmanuel, Faulds, Craig B., Zouari-Mechichi, Héla, Record, Eric, Mechichi, Tahar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227205/
https://www.ncbi.nlm.nih.gov/pubmed/35744655
http://dx.doi.org/10.3390/microorganisms10061137
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author Ben Ayed, Amal
Hadrich, Bilel
Sciara, Giuliano
Lomascolo, Anne
Bertrand, Emmanuel
Faulds, Craig B.
Zouari-Mechichi, Héla
Record, Eric
Mechichi, Tahar
author_facet Ben Ayed, Amal
Hadrich, Bilel
Sciara, Giuliano
Lomascolo, Anne
Bertrand, Emmanuel
Faulds, Craig B.
Zouari-Mechichi, Héla
Record, Eric
Mechichi, Tahar
author_sort Ben Ayed, Amal
collection PubMed
description The textile industry generates huge volumes of colored wastewater that require multiple treatments to remove persistent toxic and carcinogenic dyes. Here we studied the decolorization of a recalcitrant azo dye, Reactive Black 5, using laccase-like active cell-free supernatant from Coriolopsis gallica. Decolorization was optimized in a 1 mL reaction mixture using the response surface methodology (RSM) to test the influence of five variables, i.e., laccase-like activity, dye concentration, redox mediator (HBT) concentration, pH, and temperature, on dye decolorization. Statistical tests were used to determine regression coefficients and the quality of the models used, as well as significant factors and/or factor interactions. Maximum decolorization was achieved at 120 min (82 ± 0.6%) with the optimized protocol, i.e., laccase-like activity at 0.5 U mL(−1), dye at 25 mg L(−1), HBT at 4.5 mM, pH at 4.2 and temperature at 55 °C. The model proved significant (ANOVA test with p < 0.001): coefficient of determination (R²) was 89.78%, adjusted coefficient of determination (R²(A)) was 87.85%, and root mean square error (RMSE) was 10.48%. The reaction conditions yielding maximum decolorization were tested in a larger volume of 500 mL reaction mixture. Under these conditions, the decolorization rate reached 77.6 ± 0.4%, which was in good agreement with the value found on the 1 mL scale. RB5 decolorization was further evaluated using the UV-visible spectra of the treated and untreated dyes.
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spelling pubmed-92272052022-06-25 Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica Ben Ayed, Amal Hadrich, Bilel Sciara, Giuliano Lomascolo, Anne Bertrand, Emmanuel Faulds, Craig B. Zouari-Mechichi, Héla Record, Eric Mechichi, Tahar Microorganisms Article The textile industry generates huge volumes of colored wastewater that require multiple treatments to remove persistent toxic and carcinogenic dyes. Here we studied the decolorization of a recalcitrant azo dye, Reactive Black 5, using laccase-like active cell-free supernatant from Coriolopsis gallica. Decolorization was optimized in a 1 mL reaction mixture using the response surface methodology (RSM) to test the influence of five variables, i.e., laccase-like activity, dye concentration, redox mediator (HBT) concentration, pH, and temperature, on dye decolorization. Statistical tests were used to determine regression coefficients and the quality of the models used, as well as significant factors and/or factor interactions. Maximum decolorization was achieved at 120 min (82 ± 0.6%) with the optimized protocol, i.e., laccase-like activity at 0.5 U mL(−1), dye at 25 mg L(−1), HBT at 4.5 mM, pH at 4.2 and temperature at 55 °C. The model proved significant (ANOVA test with p < 0.001): coefficient of determination (R²) was 89.78%, adjusted coefficient of determination (R²(A)) was 87.85%, and root mean square error (RMSE) was 10.48%. The reaction conditions yielding maximum decolorization were tested in a larger volume of 500 mL reaction mixture. Under these conditions, the decolorization rate reached 77.6 ± 0.4%, which was in good agreement with the value found on the 1 mL scale. RB5 decolorization was further evaluated using the UV-visible spectra of the treated and untreated dyes. MDPI 2022-05-31 /pmc/articles/PMC9227205/ /pubmed/35744655 http://dx.doi.org/10.3390/microorganisms10061137 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ben Ayed, Amal
Hadrich, Bilel
Sciara, Giuliano
Lomascolo, Anne
Bertrand, Emmanuel
Faulds, Craig B.
Zouari-Mechichi, Héla
Record, Eric
Mechichi, Tahar
Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica
title Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica
title_full Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica
title_fullStr Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica
title_full_unstemmed Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica
title_short Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from Coriolopsis gallica
title_sort optimization of the decolorization of the reactive black 5 by a laccase-like active cell-free supernatant from coriolopsis gallica
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227205/
https://www.ncbi.nlm.nih.gov/pubmed/35744655
http://dx.doi.org/10.3390/microorganisms10061137
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