Screening of environmental bacteria for multiple dye decolorization capabilities in textile wastewater
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.20Keywords:
Decolorization, Bacterial isolates, Screening, Textile dyes, Laboratory dyes, Antibiotic sensitivity.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Textile industry effluents are rich in microorganisms capable of dye decolorization, including bacteria, actinomycetes, and yeast. Conventional microbiological techniques were used to isolate these bacteria, with 10 strains selected for screening. These cultures belonged to Enterococcus, Bacillus, Pseudomonas, Xanthomonas, Sporolactobacillus, and Enterobacter genera. The decolorization of these dyes was examined using UV-visible spectrophotometers, revealing varying resistance and sensitivity to antibiotics.Abstract
How to Cite
Downloads
Similar Articles
- Pratibha Mehetre, A correlational study of identity status in relation to Parenting style among adolescents , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Anju Bhatnagar, Assessment of antioxidant activity and phytochemical screening in leaf extract of Andrographis paniculate (Burm. f.) nees , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Juhi Chaudhary, Dimple Raina, Pallavi Rawat, Vidya Chauhan, Neha Chauhan, GC-MS Profiling and Analysis of Bioprotective Properties of Terminalia chebula against Non-Fermenting Gram-Negative Bacteria Isolated from Tertiary Care Hospital , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Archana Bansal, On the Biology of Chrysomya megacephala (Fabricius) (Diptera: Calliphoridae) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Manan Pathak, Dishang Trivedi Trivedi, Field-effect limits and design parameters for hybrid HVDC – HVAC transmission line corridors , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- RENA MEHTA, ECO DESIGN IN TEXTILE AND CLOTHING , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
- Hardik Talsania, Kirit Modi, Attention-Enhanced Multi-Modal Machine Learning for Cardiovascular Disease Diagnosis , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Priya Thapliyal, Pallavi Dheer, Satish Chandra Nautiyal, Rajesh Rayal, Rakesh Rai, Indra Rautela, Comparative Study of Fast Plaque Assay and Real Time PCR for Detection of Mycobacterium tuberculosis in Pulmonary Samples , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Belgundkar Babita, Kharde Sangeeta, Dodamani Suneel, Socio-demographic and reproductive determinants of spontaneous abortion- A cross-sectional comparative research at a tertiary care hospital in North Karnataka, India , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, A COVID Net-predictor: A multi-head CNN and LSTM-based deep learning framework for COVID-19 diagnosis , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Varsha Kachhela, Jalpa Rank, Charmy Kothari, Investigating optimal conditions for direct red 37 biodegradation using Enterococcus innesii strain CV10 , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
