Evidence map›Paper›PMID 31797998›Full record

ArticleScientific reports2019

Response surface methodological (RSM) approach for optimizing the removal of trihalomethanes (THMs) and its precursor's by surfactant modified magnetic nanoadsorbents (sMNP) - An endeavor to diminish probable cancer risk.

Minashree Kumari, Sunil Kumar Gupta

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

36 citing papers in PubMed, 218 citations in OpenAlex.

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  5. Response surface methodology to investigate the effects of operational parameters on membrane bioreactor.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
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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

2 authors at 1 institution in 1 country.

Minashree KumariDepartment of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, 826004, Jharkhand, India. minashreekumari2501@gmail.com.
Sunil Kumar GuptaDepartment of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, 826004, Jharkhand, India.
Indian Institute of Technology Dhanbad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Response surface methodology (RSM) approach was used for optimization of the process parameters and identifying the optimal conditions for the removal of both trihalomethanes (THMs) and natural organic matter (NOM) in drinking water supplies. Co-precipitation process was employed for the synthesis of magnetic nano-adsorbent (sMNP), and were characterized by field emission scanning electron microscopy (SEM), trans-emission electron microscopy (TEM), BET (Brunauer-Emmett-Teller), energy dispersive X-ray (EDX) and zeta potential. Box-Behnken experimental design combined with response surface and optimization was used to predict THM and NOM in drinking water supplies. Variables were concentration of sMNP (0.1 g to 5 g), pH (4-10) and reaction time (5 min to 90 min). Statistical analysis of variance (ANOVA) was carried out to identify the adequacy of the developed model, and revealed good agreement between the experimental data and proposed model. The experimentally derived RSM model was validated using t-test and a range of statistical parameters. The observed R

Indexed as

AdsorptionChlorineHumansMicroscopy, Electron, ScanningNanoparticlesNeoplasmsPulmonary SurfactantsRisk FactorsSpectrometry, X-Ray EmissionSurface PropertiesTrihalomethanesWater Pollutants, ChemicalWater PurificationWater SupplyChlorinePulmonary SurfactantsTrihalomethanesWater Pollutants, Chemical

Identifiers

PMID31797998
PMCPMC6892921
OpenAlexW2992432245

What OpenQuestion holds

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LicenceCC BY
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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.