Evidence map›Paper›PMID 42752931›Full record

ArticleWater environment research : a research publication of the Water Environment Federation2026

Integrating Plant-Based Coagulation and Explainable Machine Learning for Sustainable River Water Treatment.

Akshat Sharma, Richa Sharma, Munawar Iqbal, Badriah Mesfer Alotaibi

Abstract read
In one paragraph

Article in Water environment research : a research publication of the Water Environment Federation, 2026. 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

4 authors.

Akshat SharmaCentre for Promotion of Research, Graphic Era Deemed University, Dehradun, Uttarakhand, India.ORCID https://orcid.org/0000-0002-6395-9644
Richa SharmaJaypee University of Information Technology, Waknaghat, Himachal Pradesh, India.ORCID https://orcid.org/0009-0008-3831-6162
Munawar IqbalZero Emission Technologies Innovation Center, University of Tabuk, Tabuk, Saudi Arabia.
Badriah Mesfer AlotaibiDepartment of Physics, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Funding

Princess Nourah bint Abdulrahman University PNURSP2026R32
6 · The paper itself

Abstract

Industrial wastewater discharge has severely degraded freshwater resources, necessitating the development of sustainable and environmentally benign treatment technologies. This study investigates the performance of three plant-based natural coagulants, namely, Moringa leaf powder (MLP), banana peel powder (BPP), and neem leaf powder (NLP), for the treatment of Sirsa River water contaminated with organic pollutants and heavy metals. Coagulation-flocculation experiments were conducted under optimized operating conditions, and treatment efficiency was evaluated based on turbidity, chemical oxygen demand (COD), biological oxygen demand (BOD

Indexed as

Machine LearningRiversWater Pollutants, ChemicalWater PurificationAzadirachtaFlocculationMusaPlant LeavesWater Pollutants, ChemicalCatBoostexplainable AIheavy metal removalMoringa leaf powdernatural coagulantsriver water treatmentSHAP

Identifiers

PMID42752931
PMCPMC13584669

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.