Evidence map›Paper›PMID 41298799›Full record

ArticleScientific reports2025

MoS

Riddhi Patel, Kajal Mahabari, Kaval Patel, Monika Patel, Arvind H Jadhav, Swapnil Dharaskar, Rama Rao Karri, Nitin Chaudhari

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Riddhi PatelAdvanced Hybrid Nanomaterial Laboratory, Department of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382426, India.
Kajal MahabariAdvanced Hybrid Nanomaterial Laboratory, Department of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382426, India.
Kaval PatelAdvanced Hybrid Nanomaterial Laboratory, Department of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382426, India.
Monika PatelAdvanced Hybrid Nanomaterial Laboratory, Department of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382426, India.
Arvind H JadhavCentre for Nano and Material Science (CNMS), Jain University, Jain Global Campus, Bangalore, 562112, India.
Swapnil DharaskarDepartment of Chemical Engineering, School of Energy Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar, Gujarat, 382426, India.
Rama Rao KarriChemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, BE1410, Brunei Darussalam. kramarao.iitd@gmail.com.
Nitin ChaudhariAdvanced Hybrid Nanomaterial Laboratory, Department of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, 382426, India. nitin.chaudhari@sot.pdpu.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contamination of water bodies with synthetic dyes poses a serious environmental concern due to their toxicity and persistence. Hazardous organic dyes, such as Rhodamine B, Congo Red, Methyl Orange, and Methylene Blue, present a major challenge in wastewater treatment, underscoring the need for highly efficient and sustainable adsorbent materials. Among these, Rhodamine B is particularly hazardous due to its carcinogenic nature, necessitating effective removal strategies. In this study, MoS

Indexed as

AdsorptionMoS2MXeneNanocompositeRhodamine BWastewater treatment

Identifiers

PMID41298799
PMCPMC12658193

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.