Evidence map›Paper›PMID 41003691›Full record

ReviewArchives of microbiology2025

Progress and perspectives on microbial dye remediation: enzymatic pathways, microbial diversity, and hybrid microbial-based technologies.

Sreedeep Dey, Barnali Mandal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sreedeep DeyDepartment of Chemical Engineering, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India.ORCID http://orcid.org/0009-0006-5734-9483
Barnali MandalDepartment of Chemical Engineering, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India. bmchemengg@caluniv.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic dyes are extensively used in the textile industry and related industries. These structurally stable dyes persist in aquatic systems and cause severe ecotoxicological and human health risks. Widely applied conventional physicochemical treatments are constrained by high costs, sludge production, and incomplete mineralization. This review emphasizes the microbial diversity (i.e., fungi, bacteria, yeast, algae, and consortia) and enzymatic (azoreductase, laccases, peroxidase, etc.) machinery responsible for the reductive and oxidative transformation of recalcitrant dyes. Accessible plate and spectrophotometric assays are some enzymatic identification methods that have been discussed alongside some scalable production strategies (i.e., immobilization, fed-batch, and continuous systems). Upstream resource demand has been highlighted in sustainability assessments, but reduced sludge, less chemical input, and energy recovery revealed downstream gains. Furthermore, compared with conventional adsorbents, hybrid microbial technologies have demonstrated a broader substrate range and technoeconomic competitiveness. While, under optimized laboratory conditions, 80–100% decolorization could be achieved, scaling up to real wastewater matrices, maintaining the stability of microbial consortia, and ensuring the biosafety of nanomaterials are some persistent challenge. Future studies should include long-term pilot trials, omics-assisted microbial design, multispecies microcosm studies, and biomass valorization.

Indexed as

BacteriaColoring AgentsWater Pollutants, ChemicalBiodegradation, EnvironmentalFungiMicrobial ConsortiaColoring AgentsWater Pollutants, ChemicalBioremediationEnzymesMicrobial dye degradationSustainable wastewater treatmentSynthetic dyes

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.