Evidence map›Paper›PMID 38398637›Full record

ArticleMolecules (Basel, Switzerland)2024

Adsorptive Elimination of a Cationic Dye and a Hg (II)-Containing Antiseptic from Simulated Wastewater Using a Metal Organic Framework.

Nilanjan Roy, Chanchal Das, Mohuya Paul, Jungkyun Im, Goutam Biswas

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. 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
0.8field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

5 authors at 2 institutions in 2 countries.

Nilanjan RoyDepartment of Chemistry, Cooch Behar Panchanan Barma University, Cooch Behar 736101, West Bengal, India.
Chanchal DasDepartment of Chemistry, Cooch Behar Panchanan Barma University, Cooch Behar 736101, West Bengal, India.ORCID 0000-0002-9251-2104
Mohuya PaulDepartment of Electronic Materials, Devices and Equipment Engineering, Soonchunhyang University, Asan 31538, Republic of Korea.ORCID 0000-0001-6017-2160
Jungkyun ImDepartment of Electronic Materials, Devices and Equipment Engineering, Soonchunhyang University, Asan 31538, Republic of Korea.ORCID 0000-0002-7926-5815
Goutam BiswasDepartment of Chemistry, Cooch Behar Panchanan Barma University, Cooch Behar 736101, West Bengal, India.ORCID 0000-0002-1488-2003
Cooch Behar Panchanan Barma University · INSoonchunhyang University · KR

Funding

BK21 FOUR (Fostering Outstanding Universities for Research) 5199991614564
6 · The paper itself

Abstract

Several types of pollutants have acute adverse effects on living bodies, and the effective removal of these pollutants remains a challenge. Safranin O (a biological dye) and merbromin (a topical mercury-containing antiseptic) are considered organic pollutants, and there are only a few reports on their removal. Synthesized and well-characterized (through PXRD, FTIR, FESEM, and EDS analysis) MOF-5 was used for the first time in the removal of safranin O and merbromin from simulated wastewater and real wastewater. In both cases, MOF-5 effectively removed contaminants. We found that in simulated wastewater, the highest efficiency of removal of safranin O was 53.27% (for 15 mg/L) at pH 10, and for merbromin, it was 41.49% (for 25 mg/L) at pH 6. In the case of real wastewater containing natural ions (Na

Indexed as

adsorptiondyes and pharmaceutical wastesmetal organic framework (MOF)natural ionssafranin O and merbrominwastewater management

Identifiers

PMID38398637
PMCPMC10892504
OpenAlexW4392012980

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.