Evidence map›Paper›PMID 38288149›Full record

ArticleRSC advances2024

Efficient and eco-friendly detection of gabapentin using nitrogen-doped carbon quantum dots: an analytical and green chemistry approach.

Atiah H Almalki, Ahmed H Abdelazim, Manal E Alosaimi, Maram H Abduljabbar, Reem M Alnemari, Ahmed K Bamaga, Ahmed Serag

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 4 institutions in 2 countries.

Atiah H AlmalkiDepartment of Pharmaceutical Chemistry, College of Pharmacy, Taif University P. O. Box 11099 21944 Taif Saudi Arabia.
Ahmed H AbdelazimPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University 11751 Nasr City Cairo Egypt Ahmedserag777@hotmail.com Ahmedserag777@azhar.edu.eg.
Manal E AlosaimiDepartment of Basic Sciences, College of Medicine, Princess Nourah bint Abdulrahman University P. O. Box 84428 Riyadh 11671 Saudi Arabia.
Maram H AbduljabbarDepartment of Pharmacology and Toxicology, College of Pharmacy, Taif University Taif 21944 Saudi Arabia.
Reem M AlnemariDepartment of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, Taif University P. O. Box 11099 Taif 21944 Saudi Arabia.
Ahmed K BamagaPediatric Neurology Unit, Department of Pediatrics, Faculty of Medicine, King Abdulaziz University Jeddah Saudi Arabia.
Ahmed SeragPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University 11751 Nasr City Cairo Egypt Ahmedserag777@hotmail.com Ahmedserag777@azhar.edu.eg.ORCID https://orcid.org/0000-0003-1559-8079
Taif University · SAAl-Azhar University · EGKing Abdulaziz University · SAPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents the development of an eco-friendly and highly selective mitrogen-doped carbon quantum dot based sensor (N-CQDs) for the detection of gabapentin - a commonly misused drug. A detailed characterization of N-CQDs spectral features and their interaction with gabapentin is provided. The optimal conditions for sensing, including pH value, buffer volume, N-CQDs concentration, and incubation time, were established. The results showed excellent fluorescence quenching at 475 nm (

Identifiers

PMID38288149
PMCPMC10823495
OpenAlexW4391325730

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.