Evidence map›Paper›PMID 40496377›Full record

ArticleRSC advances2025

Ultrasensitive detection of alogliptin

Ahmed Serag, Farooq M Almutairi, Muneef M Aldhafeeri, Rami M Alzhrani, Maram H Abduljabbar, Reem M Alnemari, Yusuf S Althobaiti, Atiah H Almalki

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Ahmed SeragPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University Nasr City 11751 Cairo Egypt ahmedserag777@hotmail.com.ORCID https://orcid.org/0000-0003-1559-8079
Farooq M AlmutairiDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, University of Hafr AlBatin Hafr AlBatin 39524 Saudi Arabia.
Muneef M AldhafeeriDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, University of Hafr AlBatin Hafr AlBatin 39524 Saudi Arabia.
Rami M AlzhraniDepartment of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University P. O. Box 11099 Taif 21944 Saudi Arabia.
Maram H AbduljabbarDepartment of Pharmacology and Toxicology, College of Pharmacy, Taif University P. O. Box 11099 Taif 21944 Saudi Arabia.
Reem M AlnemariDepartment of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University P. O. Box 11099 Taif 21944 Saudi Arabia.
Yusuf S AlthobaitiDepartment of Pharmacology and Toxicology, College of Pharmacy, Taif University P. O. Box 11099 Taif 21944 Saudi Arabia.
Atiah H AlmalkiAddiction and Neuroscience Research Unit, Health Science Campus, Taif University P. O. Box 11099 Taif 21944 Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid, sensitive, and eco-friendly fluorescence-based analytical method was developed for the determination of the antidiabetic drug alogliptin using terbium-doped carbon quantum dots (Tb-CQDs) as a fluorescence probe. The Tb-CQDs were comprehensively characterized using dynamic light scattering, transmission electron microscopy, UV-vis spectroscopy, and fluorescence spectroscopy, revealing uniform spherical nanoparticles with strong blue emission at 448 nm. The sensing mechanism, investigated through Stern-Volmer analysis and thermodynamic studies, demonstrated a static quenching process involving the formation of a ground state complex between Tb-CQDs and alogliptin, with negative Δ

Identifiers

PMID40496377
PMCPMC12150208

What Socratic 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 Socratic graph.