ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2021
Decolorization and detoxification of different azo dyes by Phanerochaete chrysosporium ME-446 under submerged fermentation.
Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 37 citations in OpenAlex.
- Systematic Evaluation of Biodegradation of Azo Dyes by Microorganisms: Efficient Species, Physicochemical Factors, and Enzymatic Systems.International journal of molecular sciences · 2025Review
- Efficient biodegradation and detoxification of reactive black 5 using a newly constructed bacterial consortium.Microbial cell factories · 2025Article
- Mushrooms in climate change mitigation: a comprehensive review.Frontiers in microbiology · 2025Review
- Successful cultivation of edible fungi on textile waste offers a new avenue for bioremediation and potential food production.Scientific reports · 2024Article
- White Rot Fungi as Tools for the Bioremediation of Xenobiotics: A Review.Journal of fungi (Basel, Switzerland) · 2024Review
- Biodecomposition withAIMS microbiology · 2024Review
- Evaluation of azo dyes degradation potential of fungal strains and their role in wastewater treatment.Saudi journal of biological sciences · 2023Article
- Evaluating the efficacy of wood decay fungi and synthetic fungal consortia for simultaneous decolorization of multiple textile dyes.World journal of microbiology & biotechnology · 2023Article
- Filamentous Fungi Are Potential Bioremediation Agents of Semi-Synthetic Textile Waste.Journal of fungi (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Azo dyes are widely used in the textile industry due to their resistance to light, moisture, and oxidants. They are also an important class of environmental contaminant because of the amount of dye that reaches natural water resources and because they can be toxic, mutagenic, and carcinogenic. Different technologies are used for the decolorization of wastewater containing dyes; among them, the biological processes are the most promising environmentally. The aim of this study was to evaluate the potential of Phanerochaete chrysosporium strain ME-446 to safely decolorize three azo dyes: Direct Yellow 27 (DY27), Reactive Black 5 (RB5), and Reactive Red 120 (RR120). Decolorization efficiency was determined by ultraviolet-visible spectrophotometry and the phytotoxicity of the solutions before and after the fungal treatment was analyzed using Lactuca sativa seeds. P. chrysosporium ME-446 was highly efficient in decolorizing DY27, RB5, and RR120 at 50 mg L
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.