Evidence map›Paper›PMID 40059182›Full record

ArticleScientific reports2025

A DFT insight into the potential of cycloparaphenylenes as efficient sensors for detecting Paracetamol.

Wael A Mahdi, Adel Alhowyan, Ahmad J Obaidullah

Abstract read
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. Article
  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

3 authors.

Wael A MahdiDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Adel AlhowyanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia. Adel-ali@ksu.edu.sa.
Ahmad J ObaidullahDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh, 11451, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paracetamol (PCT) frequently contaminates natural water sources, posing potential risks to both human health and ecosystems. This study presents a computational investigation into the sensing capabilities of methylene-bridged [n]cycloparaphenylene ([n]MCPP, where n= 6, 8, and 10) nanorings for the detection of paracetamol using density functional theory (DFT) calculations. It was found that the stability of PCT@[n]MCPP complexes increases with the size of the [n]MCPP nanorings. The energy gap of the [n]MCPP nanorings is significantly influenced by the presence of the PCT drug, with the most substantial change (-44.79%) observed for the PCT@

Indexed as

AcetaminophenWater Pollutants, ChemicalDensity Functional TheoryAcetaminophenWater Pollutants, ChemicalCycloparaphenylene nanoringsDFTParacetamolSensing

Identifiers

PMID40059182
PMCPMC11891314

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.