Evidence map›Paper›PMID 34554552›Full record

ArticleBiologia futura2021

Isolation, characterization and identification of pesticide degrading bacteria from contaminated soil for bioremediation.

Akshita Mehta, Kamal Kumar Bhardwaj, Mayorin Shaiza, Reena Gupta

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Article in Biologia futura, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

4 authors.

Akshita MehtaDepartment of Biotechnology, Himachal Pradesh University, Summerhill, Shimla, HP, 171 005, India.
Kamal Kumar BhardwajDepartment of Biotechnology, Himachal Pradesh University, Summerhill, Shimla, HP, 171 005, India.
Mayorin ShaizaDepartment of Biotechnology, Himachal Pradesh University, Summerhill, Shimla, HP, 171 005, India.
Reena GuptaDepartment of Biotechnology, Himachal Pradesh University, Summerhill, Shimla, HP, 171 005, India. reenagupta_2001@yahoo.com.ORCID http://orcid.org/0000-0003-0320-1660

Funding

Department of Environment, Science and Technology, Shimla, Himachal Pradesh DEST/BT/2015/1
6 · The paper itself

Abstract

In this study, malathion and chlorpyrifos degrading bacteria were isolated from agricultural soil samples taken from the Himachal region in India. A total of 52 organisms were isolated which were further screened for their efficiency for chlorpyrifos and malathion degradation. Screening was done by checking the growth on Nutrient Agar, Mineral Salt Medium and MacConkey agar plates containing chlorpyrifos and malathion; 37 isolates showed growth in these. Biomass assay and minimum inhibitory concentration (MIC) determination were carried out for the selection of most efficient bacterial isolates. Out of the seven isolates which showed good biomass assay and MIC, only three isolates (PDM-2, PDM-15 and PDM-20) were selected for further studies. These were characterized by various biochemical tests, Gram staining, indole test, methyl red test, Voges-Proskauer test, citrate utilization test and carbohydrate fermentation test. Out of three isolates, PDM-15 showed good resistance against the antibiotics such as erythromycin, chloramphenicol, ampicillin and penicillin and identified as Kocuria assamensis. Degradation of 71.3% of chlorpyrifos and 85% of malathion was observed by the gas chromatography. Therefore, the Kocuria assamensis can be used in the bioremediation of pesticide-contaminated soil.

Indexed as

Biodegradation, EnvironmentalIndiaMicrobial Sensitivity TestsPesticidesSoilSoil PollutantsPesticidesSoilSoil PollutantsBioremediationChlorpyrifosKocuria assamensisMalathionPesticides

Identifiers

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Textmetadata
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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.