Evidence map›Paper›PMID 42516980›Full record

ArticleFrontiers in microbiology2026

Enhanced azo dyes decolorization in bioaugmented floating treatment wetlands using

Sadia Zahid, Kaneez Fatima, Muhammad Ali, Mohsin Javed, Hina Ibraheem, Maryam Afzal, Mohammed Abohashrh, Shahid Iqbal, Sajid Mahmood, Ibrahim Jafri and 3 more

Abstract read
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In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Sadia ZahidDepartment of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, Pakistan.
Kaneez FatimaDepartment of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, Pakistan.
Muhammad AliDepartment of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, Pakistan.
Mohsin JavedDepartment of Chemistry, School of Science, University of Management and Technology (UMT), Lahore, Pakistan.
Hina IbraheemDepartment of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, Pakistan.
Maryam AfzalSchool of Chemical Engineering, Aalto University, Espoo, Finland.
Mohammed AbohashrhDepartment of Basic Medical Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Shahid IqbalDepartment of Chemical and Environmental Engineering, University of Nottingham Ningbo China, Ningbo, China.
Sajid MahmoodLow Dimensional Materials Research Center at Khazar University, Baku, Azerbaijan.
Ibrahim JafriDepartment of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.
Hala Mohamed AbdelmigidDepartment of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.
Abd-ElAziem FaroukDepartment of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.
Amal AlyamaniDepartment of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study evaluated bioaugmented floating treatment wetlands (FTWs) for the effective remediation of textile waste enriched with the azo dyes Synozol Red K3 BS (SR), Synozol Yellow K3 RS, and Synozol Ultra Black DR (SB). Six strains of bacteria (SZ1-SZ6) were isolated, characterized and tested for the ability to decolorize dyes. Of these, the SZ1 strain,

Indexed as

azo dye de-colorationBacillus sp.bioaugmentationfloating treatment wetlandsTypha domingensis

Identifiers

PMID42516980
PMCPMC13402504

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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.