Bioremediation of Textile Dyes Using Native Microorganisms: Sustainable Microbiological Approaches
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.05Keywords:
Bioremediation, Textile dyes, Native microorganisms, Biosorption, Enzymatic degradation, Wastewater treatment, Environmental sustainability, Green technology.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.
Significant environmental difficulties are posed by the textile industry's heavy reliance on synthetic dyes. Dye pollutants in wastewater are detrimental and long-lasting, which is why they create these issues. Traditional approaches to treating textile effluents are ineffective in decomposing complex color compounds, and they can be prohibitively costly. To further the area of bioremediation as an ecologically and financially responsible option, this research investigates the possibility of naturally occurring microbes degrading and cleaning textile dyes. The ability of native fungi, bacteria, and algae to degrade various color chemicals through enzymes has demonstrated promise in their isolation from polluted settings. This study delves into the ways these microbes manage to repair hues. Oxidative pathways, biosorption, and enzymatic degradation are all thoroughly described. In addition, we look at the scalability and practicability of microbiological approaches in bioreactors, specifically looking at how these techniques may be used to treat industrial wastewater. Green technology, which seeks to lessen industrial waste and safeguard the environment, is a rapidly expanding field, and the results contribute to it.Abstract
How to Cite
Downloads
Similar Articles
- Joji John Panicker, Ancy Elezabath John, Nair Anup Chandrasekharan, A tapestry of tradition: Revitalization of Indian Heritage and Folk Art , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Anjum Parvez, Seema Yadav, Sandhya Verma, Electronic Record as Evidence in the Courts: An Analysis , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Saba Naaz, K.B. Shiva Kumar, Integrated deep learning classification of Mudras of Bharatanatyam: A case of hand gesture recognition , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Amudavalli L, K. Muthuramalingam, Integrated energy-efficient routing and secure data management for location-aware wireless sensor networks with PFO leveraged improved fuzzy unequal clustering algorithm (IFUC) , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Modenisha U, Ritha W, A mathematical model for sustainable landfill allocation and waste management , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Ganga Gudi, Mallamma V Reddy, Hanumanthappa M, Enhancing Kannada text-to-speech and braille conversion with deep learning for the visually impaired , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Anjum Parvez, Sandhya Verma, Rajesh Bahuguna, Scientific Methods in Protection of Wildlife: A Need of Time , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Naghma Khatoon, Equabal Jawaid, ECOLOGY AND PARTIAL RESTORATION OF MONE WETLAND FOR FISH PRODUCTIVITY , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Ellakkiya Mathanraj, Ravi N. Reddy, Enhanced principal component gradient round-robin load balancing in cloud computing , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Virendra Chavda, Bhavesh J. Parmar, Urvi Zalavadia, Assessment of Omni channel retailing characteristics and its effect on consumer buying intention , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
<< < 41 42 43 44 45 46 47 > >>
You may also start an advanced similarity search for this article.

