Bioprospecting of novel peroxidase from Streptomyces coelicolor strain SPR7 for carcinogenic azo dyes decolorization.


Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 27 07 2022
revised: 02 10 2022
accepted: 07 10 2022
pubmed: 16 10 2022
medline: 10 11 2022
entrez: 15 10 2022
Statut: ppublish

Résumé

Peroxidase (POX) is a heme-containing oxidoreductase, its voluminous immuno-diagnostic and bioremediatory intuitions have incited optimization and large scale-generation from novel microbial repertoires. Azo dyes are the most detrimental classes of synthetic dyes and they are the common ecotoxic industrial pollutants in wastewater. In addition, azo dyes are refractory to degradation owing to their chemical nature, comprising of azoic linkages, amino moieties with recalcitrant traits. Moreover, they are major carcinogenic and mutagenic on humans and animals, whereby emphasizing the need for decolorization. In the present study, a novel POX from Streptomyces coelicolor strain SPR7 was investigated for the deterioration of ecotoxic dyestuffs. The initial medium component screening for POX production was achieved using, One Factor at a Time and Placket-Burman methodologies with starch, casein and temperature as essential parameters. In auxiliary, Response Surface Methodology (RSM) was recruited and followed by model validation using Back propagation algorithm (BPA). RSM-BPA composite approach prophesied that combination of starch, casein, and temperature at optimal values 2.5%, 0.035% and 35 °C respectively, has resulted in 7 folds enhancement of POX outturn (2.52 U/mL) compared to the unoptimized media (0.36 U/mL). The concentrated enzyme decolorized 75.4% and 90% of the two azo dyes with lignin (10 mM), respectively. Hence, this investigation confirms the potentiality of mangrove actinomycete derived POX for elimination of noxious azo dyes to overcome their carcinogenic, mutagenic and teratogenic effects on humans and aquatic organisms.

Identifiants

pubmed: 36243089
pii: S0045-6535(22)03329-X
doi: 10.1016/j.chemosphere.2022.136836
pii:
doi:

Substances chimiques

Azo Compounds 0
Carcinogens 0
Caseins 0
Coloring Agents 0
Peroxidases EC 1.11.1.-
Starch 9005-25-8

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

136836

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

P Sai Preethi (PS)

Department of Biotechnology, Sree Sastha Institute of Engineering and Technology, Chembarambakkam, 600 123, Tamil Nadu, India.

Sundaram Vickram (S)

Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha Nagar, Thandalam, Chennai, 602 105, Tamil Nadu, India.

Raja Das (R)

School of Advanced Science, Vellore Institute of Technology (VIT), Vellore, 632 014, Tamil Nadu, India.

N M Hariharan (NM)

Department of Biotechnology, Sree Sastha Institute of Engineering and Technology, Chembarambakkam, 600 123, Tamil Nadu, India.

M Rameshpathy (M)

School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, 632 014, Tamil Nadu, India. Electronic address: mrameshpathy@vit.ac.in.

R Subbaiya (R)

Department of Biological Sciences, School of Mathematics and Natural Sciences, The Copperbelt University, Riverside, Jambo Drive, P. O. Box, 21692, Kitwe, Zambia.

N Karmegam (N)

PG and Research Department of Botany, Government Arts College (Autonomous), Salem, 636 007, Tamil Nadu, India. Electronic address: kanishkarmegam@gmail.com.

Woong Kim (W)

Department of Environmental Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea.

M Govarthanan (M)

Department of Environmental Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea. Electronic address: gova.muthu@gmail.com.

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Classifications MeSH