Evidence map›Paper›PMID 40307968›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2025

Integrated biological and UV-Fenton processes for the treatment of automobile service station wastewater.

Salini Pottekkatt, Jennipher George, Riya Zakkariya, Christo P N, Gouri Nair, Madhu Gopal, Renu Pawels

Abstract read
PubMed Publisher
In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2025. 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

7 authors.

Salini PottekkattDepartment of Biotechnology, Sahrdaya College of Engineering & Technology, Kodakara, Thrissur, Kerala, India.ORCID https://orcid.org/0000-0002-3926-8632
Jennipher GeorgeDepartment of Biotechnology, Sahrdaya College of Engineering & Technology, Kodakara, Thrissur, Kerala, India.
Riya ZakkariyaDepartment of Biotechnology, Sahrdaya College of Engineering & Technology, Kodakara, Thrissur, Kerala, India.
Christo P NDepartment of Biotechnology, Sahrdaya College of Engineering & Technology, Kodakara, Thrissur, Kerala, India.
Gouri NairDepartment of Biotechnology, Sahrdaya College of Engineering & Technology, Kodakara, Thrissur, Kerala, India.
Madhu GopalSchool of Engineering, Cochin University of Science and Technology, Kochi, Kerala, India.
Renu PawelsSchool of Engineering, Cochin University of Science and Technology, Kochi, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automobile service stations are a significant contributor to environmental issues due to the release of harmful wastewater containing various pollutants like oils, grease, detergents, and organic and inorganic substances. Our study focused on treating this wastewater through both biological and UV-Fenton methods to target the removal of chemical oxygen demand (COD), turbidity, and oil and grease for potential reuse. In the biological approach, we isolated diverse microorganisms from the wastewater, and the predominant microorganism identified through 16S rRNA sequencing was

Indexed as

AutomobilesHydrogen PeroxideIronUltraviolet RaysWaste Disposal, FluidWastewaterWater PurificationBiological Oxygen Demand AnalysisPseudomonas aeruginosaWater Pollutants, ChemicalFenton's reagentHydrogen PeroxideIronWastewaterWater Pollutants, Chemicalautomobile service station wastewaterbiofilm carriersmicroorganismsrRNA sequencingRSMUV Fenton

Identifiers

PMID40307968

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.