ArticleMicroorganisms2022
Optimization of the Decolorization of the Reactive Black 5 by a Laccase-like Active Cell-Free Supernatant from
Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Statistical optimization and metabolite analysis of Acid Yellow 137 dye biodegradation by bacterial consortium.Scientific reports · 2026Article
- Optimisation of Laccase Activity From Bacillus atrophaeus Using Response Surface Methodology: A Proof-Of-Concept Dye Decolourisation Study.Environmental microbiology reports · 2025Article
- Efficient biodegradation and detoxification of reactive black 5 using a newly constructed bacterial consortium.Microbial cell factories · 2025Article
- Purification, characterization of laccase from3 Biotech · 2024Article
- Optimized decolorization of two poly azo dyes Sirius Red and Sirius Blue using laccase-mediator system.3 Biotech · 2024Article
- Efficient Decolorization of the Poly-Azo Dye Sirius Grey byMolecules (Basel, Switzerland) · 2024Article
- Adsorption and decolorization study of reactive black 5 by immobilized metal-organic framework of UiO-66 andRSC advances · 2023Article
- Biotransformation of the Fluoroquinolone, Levofloxacin, by the White-Rot FungusJournal of fungi (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The textile industry generates huge volumes of colored wastewater that require multiple treatments to remove persistent toxic and carcinogenic dyes. Here we studied the decolorization of a recalcitrant azo dye, Reactive Black 5, using laccase-like active cell-free supernatant from Coriolopsis gallica. Decolorization was optimized in a 1 mL reaction mixture using the response surface methodology (RSM) to test the influence of five variables, i.e., laccase-like activity, dye concentration, redox mediator (HBT) concentration, pH, and temperature, on dye decolorization. Statistical tests were used to determine regression coefficients and the quality of the models used, as well as significant factors and/or factor interactions. Maximum decolorization was achieved at 120 min (82 ± 0.6%) with the optimized protocol, i.e., laccase-like activity at 0.5 U mL−1, dye at 25 mg L−1, HBT at 4.5 mM, pH at 4.2 and temperature at 55 °C. The model proved significant (ANOVA test with p < 0.001): coefficient of determination (R²) was 89.78%, adjusted coefficient of determination (R²A) was 87.85%, and root mean square error (RMSE) was 10.48%. The reaction conditions yielding maximum decolorization were tested in a larger volume of 500 mL reaction mixture. Under these conditions, the decolorization rate reached 77.6 ± 0.4%, which was in good agreement with the value found on the 1 mL scale. RB5 decolorization was further evaluated using the UV-visible spectra of the treated and untreated dyes.
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.