Evidence map›Paper›PMID 42706290›Full record

ArticleScientific reports2026

Pecan nut-derived carbon quantum dots-modified electrode for sensitive electrochemical determination of vonoprazan using a green analytical approach.

Arwa Gamal Elbanna, Aya Barseem, Hytham M Ahmed

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

0 citing papers in PubMed.

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

3 authors.

Arwa Gamal ElbannaPharmaceutical Analysis Department, Faculty of Pharmacy, Menoufia University, Shibin El Kom, Egypt. Arwa.Gamal88@phrm.menofia.edu.eg.ORCID https://orcid.org/0009-0002-9129-1845
Aya BarseemPharmaceutical Analysis Department, Faculty of Pharmacy, Menoufia University, Shibin El Kom, Egypt.
Hytham M AhmedPharmaceutical Analysis Department, Faculty of Pharmacy, Menoufia University, Shibin El Kom, Egypt. hmaahmed@yahoo.co.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel, environmentally considerate electroanalytical sensor was developed for the determination of vonoprazan fumarate (VON) through modification of a carbon paste electrode with biomass-derived carbon quantum dots (CQDs), representing a sustainable, defect-rich, and effective alternative to conventional CQD-based sensors that rely on synthetic materials and complex fabrication. The CQDs were synthesized from pecan nut (Carya illinoinensis) using a microwave-assisted solvothermal approach and exhibited abundant functional groups and quantum confinement effects, as confirmed via X-ray photoelectron spectroscopy (XPS) in combination with Fourier-transform infrared (FTIR) spectroscopy, fluorescence spectroscopy, ultraviolet-visible spectroscopic approach (UV-Vis), transmission electron microscopy (TEM) and scanning electron microscopy combined with energy-dispersive X-ray spectroscopy (SEM-EDX). Electrochemical impedance spectroscopy (EIS) revealed enhanced interfacial electron-transfer kinetics and electrocatalytic activity, highlighting the enhanced electrode performance of the CQD-modified sensor and its direct contribution to improved sensitivity and selectivity. Quantitative determination of VON was performed using differential pulse voltammetry (DPV), achieving a limit of detection of 0.39 nM, a limit of quantification of 1.19 nM, and a linear response over 10-100 nM (R

Indexed as

Electrochemical sensorGreen analytical chemistryPecan nut (Carya illinoinensis)–derived CQDsVoltammetryVonoprazan

Identifiers

PMID42706290
PMCPMC13550488

What OpenQuestion holds

Textmetadata
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.