Evidence map›Paper›PMID 40662906›Full record

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

Post-anoxic integrated biofilm activated sludge wastewater treatment process for emerging contaminant removal.

Monika Dubey, Pallavi Gahlot, Bhanu Prakash Vellanki, Absar Ahmad Kazmi

Abstract read
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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

4 authors.

Monika DubeyDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.ORCID https://orcid.org/0000-0003-4307-9882
Pallavi GahlotEnvironmental Hydrology Division, National Institute of Hydrology Roorkee, Roorkee, Uttarakhand, India.
Bhanu Prakash VellankiDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India E-mail: bhanuprakashv@ce.iitr.ac.in.ORCID https://orcid.org/0000-0003-1045-3292
Absar Ahmad KazmiDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.

Funding

Department of Science and Technology, Government of India DST/TM/INDO-UK/2K17/66(C)UK Natural Environment Research Council NE/R003548/1
6 · The paper itself

Abstract

The study investigates the role of redox conditions and food-to-microorganism (F/M) ratio on emerging contaminants (ECs) attenuation in a laboratory-scale system. A Modified Ludzack Ettinger process integrated with a polyvinyl alcohol (PVA) gel-based biofilm reactor following the anaerobic tank was employed. Twenty ECs covering a wide range of physico-chemical properties were monitored across four treatment zones - aerobic, PVA, anoxic, and anaerobic reactors to understand the role of different redox conditions in removing ECs. Overall, the system achieved an average EC removal of 87%, with 9 out of 20 compounds removed by >80% and between 50 and 80%. The ECs removal contribution followed the trend: aerobic (42.7%) > PVA (33.4%) > anoxic (25.7%) > anaerobic (19.3%). The analysis revealed higher solid-water partition coefficients (

Indexed as

BiofilmsSewageWaste Disposal, FluidWastewaterWater Pollutants, ChemicalWater PurificationAnaerobiosisBiodegradation, EnvironmentalBioreactorsOxidation-ReductionPolyvinyl AlcoholPolyvinyl AlcoholSewageWastewaterWater Pollutants, Chemicaladsorptionbiodegradationemerging contaminantsF/M ratioredox conditionswastewater treatment

Identifiers

PMID40662906

What OpenQuestion holds

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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.