Evidence map›Paper›PMID 38896369›Full record

ArticleApplied biochemistry and biotechnology2024

Assessing the Role of Detergents in Pond Ecosystem.

Susmita Mukherjee, Keerti Keswani, Sanmitro Bhattacherjee, Pallabi Nath, Pratik Talukder, Sonali Paul

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Article in Applied biochemistry and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Susmita MukherjeeDepartment of Biotechnology, University of Engineering and Management, Kolkata, India.
Keerti KeswaniDepartment of Biotechnology, University of Engineering and Management, Kolkata, India.
Sanmitro BhattacherjeeDepartment of Biotechnology, University of Engineering and Management, Kolkata, India.
Pallabi NathDepartment of Biotechnology, University of Engineering and Management, Kolkata, India.
Pratik TalukderDepartment of Biotechnology, University of Engineering and Management, Kolkata, India.
Sonali PaulDepartment of Biotechnology, University of Engineering and Management, Kolkata, India. sonaliuem@gmail.com.ORCID http://orcid.org/0000-0001-7710-9539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detergents are used as a part of our daily life routine. Though they are widely used but their active ingredients which are highly toxic and persist in the environment for long are an important cause of environmental pollution. In our current work, we have studied the harmful effects of a combination of some commonly used detergents which find their way into the water bodies especially the pond ecosystem through everyday activities like washing clothes, utensils, and bathing in water. This water is the home to many flora and fauna especially the fishes like Cirrhinus mrigala. In our work, we have analysed the levels of the hepatic enzymes Alanine Transaminase and Aspartate Aminotransferase as well as the histology of gill and liver tissues. We have also analysed the presence of micronucleus in the fish blood. It was observed that the presence of detergents has increased the enzyme level as well as resulted in destruction of gill and liver tissue morphology. Detergents also increased the presence of micronucleus in fish blood. These results are indicators of deterioration of fish health due to detergent pollution.

Indexed as

DetergentsEcosystemLiverPondsWater Pollutants, ChemicalAlanine TransaminaseAnimalsAspartate AminotransferasesFishesGillsMicronucleus TestsAlanine TransaminaseAspartate AminotransferasesDetergentsWater Pollutants, ChemicalCirrhinus mrigalaDetergentsEnzymesHistologyMicronucleus

Identifiers

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Registered trials

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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.