Plant-microbe-dye interaction during rhizoremediation
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.1.34Keywords:
conventional technologies, bioremediation, low-costDimensions Badge
Issue
Section
The conventional technologies used for textile dye wastewater treatment are costly, and involve high energy consumption and sludge production. However, bioremediation using plants and microbes involves low cost, energy consumption, and no sludge formation. Hence, the review focuses on the dye degradation by the plant-microbe treatment system.Abstract
How to Cite
Downloads
Similar Articles
- G Gayathri Devi, R Radha, Smart alerting services: Safeguarding women and children in the digital age , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Thilagavathi K, Thankamani K., P. Shunmugapriya, D. Prema, Navigating fake reviews in online marketing: Innovative strategies for authenticity and trust in the digital age , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A novel approach using type-II fuzzy differential evolution is proposed for identifying and diagnosis of diabetes using semantic ontology , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Suresh L. Chitragar, Measurement of agricultural productivity and levels of development in the Malaprabha river basin, Karnataka, India , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Kapil ahuja, Ekta Rani, Soniya Devi, Exploring the dynamic landscape of environmental, social, and governance literature by using bibliometric analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Heikham G. Chanu, Sudha A. Raddi, Anita Dalal, Sangeeta N. Kharde, Shivani Tendulkar, Association between the socio-demographic variables of women admitted for delivery to a Tertiary Care Hospital and their maternal and neonatal outcome - A cross-sectional study , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Deepa S, Sripriya T, Radhika M, Jeneetha J. J, Experimental evaluation of artificial intelligence assisted heart disease prediction using deep learning principle , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Jayaganesh Jagannathan, Dr. Agrawal Rajesh K, Dr. Neelam Labhade-Kumar, Ravi Rastogi, Manu Vasudevan Unni, K. K. Baseer, Developing interpretable models and techniques for explainable AI in decision-making , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Geeta S Desai, Santosh Hajare, Sangeeta Kharde, Prevalence of non-alcoholic steatohepatitis in a general population of North Karnataka , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 13 14 15 16 17 18 19 20 > >>
You may also start an advanced similarity search for this article.

