A novel tin-oxide nanoparticle-modified glassy carbon electrode for the highly selective and simultaneous detection of dopamine, uric acid, and ascorbic acid

A tin oxide nanoparticle-modified glassy carbon electrode enables highly selective and simultaneous electrochemical detection of dopamine, uric acid, and ascorbic acid with high sensitivity, low detection limits, and successful application in real samples.

Institutions

Publication Details

Journal
New Journal of Chemistry
Published
2025-12-09
DOI
https://doi.org/10.1039/d5nj03381k
Citations
1
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel tin-oxide nanoparticle-modified glassy carbon electrode for the highly selective and simultaneous detection of dopamine, uric acid, and ascorbic acid

1 citations
New Journal of Chemistry
Electrochemical sensors and biosensors
0.73
article

A novel tin-oxide nanoparticle-modified glassy carbon electrode for the highly selective and simultaneous detection of dopamine, uric acid, and ascorbic acid

article en
1 citations

Abstract

A tin oxide nanoparticle-modified glassy carbon electrode enables highly selective and simultaneous electrochemical detection of dopamine, uric acid, and ascorbic acid with high sensitivity, low detection limits, and successful application in real samples.

New Journal of ChemistryVol. 50(4)
King Fahd University of Petroleum and Minerals (SA), Kyoto University (JP), Jagannath University (BD)
Openalex Percentile: Top 20%
Electrochemical sensors and biosensors
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.