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  2. Volume 9, Issue 7
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Online ISSN: 2515-8260

Volume9, Issue7

Molecular Identification of Fungal Strains Using 16s rRNA Sequencing and A Comparative Assessment of their Efficiency on Reduction of Biological Oxygen Demand in Textile Industry Effluent

    Chaithra C, Hina Kousar, Dhanushree D M, Akshatha K U, Veena H R

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 7, Pages 6890-6897

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Abstract

Textile industry effluents contain considerable volumes of dyes, chemical oxygen demand (COD), biological oxygen demand (BOD), total suspended solids (TSS), organic and inorganic chemicals, all of which, if not managed appropriately, can cause threats to the environment.. Many treatment technologies are already in use, but due to their drawbacks standard biological treatment methods are acceptable. The objective of the present study was to isolate and conduct molecular identification of fungal strains and assess the reduction in biological oxygen demand (BOD). Using the pour plate technique, two microbial strains were extracted from textile industry contaminated soil and textile industry effluent. Based on their molecular analyses, the isolates were identified as Aspergillus flavus and Aspergillus aculeatus, and they were deposited at the National Center for Biotechnology Information (NCBI) under accession numbers (MZ544387) and (MZ569631), respectively. They were tested to see if they could reduce high amounts of biological oxygen demand (BOD) from textile industry wastewater. According to the findings, Aspergillus flavus and Aspergillus aculeatus have a good ability to reduce BOD levels from textile industry effluents, with percentages ranging from 82.64% to 95.10% and 84.93% to 96.77%, respectively. The isolated fungi have been shown to be promising candidates and can used in reduction of BOD concentration in textile industry effluent
Keywords:
    Textile industry effluent fungi Aspergillus flavus Aspergillus aculeatus BOD NCBI sequencing
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(2022). Molecular Identification of Fungal Strains Using 16s rRNA Sequencing and A Comparative Assessment of their Efficiency on Reduction of Biological Oxygen Demand in Textile Industry Effluent. European Journal of Molecular & Clinical Medicine, 9(7), 6890-6897.
Chaithra C, Hina Kousar, Dhanushree D M, Akshatha K U, Veena H R. "Molecular Identification of Fungal Strains Using 16s rRNA Sequencing and A Comparative Assessment of their Efficiency on Reduction of Biological Oxygen Demand in Textile Industry Effluent". European Journal of Molecular & Clinical Medicine, 9, 7, 2022, 6890-6897.
(2022). 'Molecular Identification of Fungal Strains Using 16s rRNA Sequencing and A Comparative Assessment of their Efficiency on Reduction of Biological Oxygen Demand in Textile Industry Effluent', European Journal of Molecular & Clinical Medicine, 9(7), pp. 6890-6897.
Molecular Identification of Fungal Strains Using 16s rRNA Sequencing and A Comparative Assessment of their Efficiency on Reduction of Biological Oxygen Demand in Textile Industry Effluent. European Journal of Molecular & Clinical Medicine, 2022; 9(7): 6890-6897.
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