Evidence map›Paper›PMID 35867172›Full record

ArticleArchives of microbiology2022

Evaluating the efficacy of bacterial consortium for decolorization of diazo dye mixture.

Anjali Joshi, Ankit Hinsu, Ramesh Kothari

Abstract read
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In one paragraph

Article in Archives of microbiology, 2022. 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
1.7field-weighted citation impact, top 15% of its field
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, 8 citations in OpenAlex.

  1. Review
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

3 authors at 1 institution in 1 country.

Anjali JoshiDepartment of Biosciences, UGC-CAS, Saurashtra University, Rajkot, Gujarat, 360005, India.ORCID http://orcid.org/0000-0002-7550-8736
Ankit HinsuDepartment of Biosciences, UGC-CAS, Saurashtra University, Rajkot, Gujarat, 360005, India.ORCID http://orcid.org/0000-0002-8985-4541
Ramesh KothariDepartment of Biosciences, UGC-CAS, Saurashtra University, Rajkot, Gujarat, 360005, India. kothari1971@gmail.com.ORCID http://orcid.org/0000-0003-1814-1787
Saurashtra University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Textile wastewater contains dyes mixed with other contaminants in various concentrations. Bacteria-mediated decolorization and degradation of azo dyes have achieved momentum as a method of treatment attributed to their inexpensive, eco-friendly, and application to a wide range of azo dyes. However, a single species of bacteria is inefficient in decolorizing diverse groups of dyes which is one of the most significant challenges for environmental technologists working in bioremediation. In the present study, an aerobic bacterial consortium AUJ consisting of six different bacterial strains (Pseudomonas stutzeri AK1, Pseudomonas stutzeri AK2, Pseudomonas stutzeri AK3, Bacillus spp. AK4, Pseudomonas stutzeri AK5, and Pseudomonas stutzeri AK6) removed the individual azo dyes in the 24-94% range when used in more than 200 ppm concentration within 72-96 h. In addition, the consortium was able to decolorize 52.19% mixed dyes (100 ppm) and 44.55% Acid blue 113 when used at a concentration as high as 1100 ppm within 96 h. Optimization of various nutritional and environmental parameters revealed that glucose and yeast extract were the preferred carbon and nitrogen source, respectively, and analysis of treated dye products using high-performance liquid chromatography (HPLC), Fourier-transform infrared spectroscopy (FTIR), and gas chromatography-mass spectrometry (GC-MS) confirmed the breakdown of dye. In all, we present a bacterial consortium with a good ability of dye decolorization that can be used for degrading a wide variety of azo dyes.

Indexed as

Azo CompoundsColoring AgentsBacteriaBiodegradation, EnvironmentalWastewaterAzo CompoundsColoring AgentsWastewaterAzo dyesBacterial consortiumBioremediationDegradation

Identifiers

PMID35867172
OpenAlexW4286470543

What OpenQuestion 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 OpenQuestion graph.