Evidence map›Paper›PMID 38942772›Full record

ArticleScientific reports2024

Optimizing microbial strain selection for pyrethroid biodegradation in contaminated environments through a TOPSIS-based decision-making system.

Saurabh Gangola, Shshank Chaube, Abdullah Bayram, Samiksha Joshi, Geeta Bhandari, Sumira Malik, Azmat Ali Khan

RetractedAbstract readRetracted Publication
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Saurabh GangolaSchool of Agriculture, Graphic Era Hill University, Bhimtal, 263132, India. saindsaurabh@gmail.com.
Shshank ChaubeDepartment of Mathematics, Jaypee University, Anoopshar, 203390, Uttar Pradesh, India.
Abdullah BayramDepartment of Agricultural & Biological Engineering, Purdue University, West Lafayette, IN, 47906, USA.
Samiksha JoshiSchool of Agriculture, Graphic Era Hill University, Bhimtal, 263132, India.
Geeta BhandariDepartment of Biosciences, Swami Rama Himalayan University, Dehradun, 248140, India.
Sumira MalikAmity Institute of Biotechnology, Amity University Jharkhand, Ranchi, 834001, Jharkhand, India.
Azmat Ali KhanPharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved and contemporary agriculture relies heavily on pesticides, yet some can be quite persistent and have a stable chemical composition, posing a significant threat to the ecology. Removing harmful effects is upon their degradability. Biodegradation must be emphasized to lower pesticide degradation costs, especially in the soil. Here, a decision-making system was used to determine the best microbial strain for the biodegradation of the pyrethroid-contaminated soil. In this system, the criteria chosen as: pH (C

Indexed as

Biodegradation, EnvironmentalPyrethrinsSoil MicrobiologySoil PollutantsAcinetobacterBacillusBacteriaDecision MakingFusariumPseudomonasPyrethrinsSoil PollutantsBiodegradationDecision-making systemEnvironmentPyrethroidTOPSIS Method

Identifiers

PMID38942772
PMCPMC11213910

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.