Evidence map›Paper›PMID 42639530›Full record

ArticleACS electrochemistry2025

Unblocking a Path for Single Entity Electrochemistry in Digital Sensing.

Audrey Pumford, Ruixuan Wan, Wenyu Huang, Bo Zhang, Ryan J White

Abstract read
In one paragraph

Article in ACS electrochemistry, 2025. 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

5 authors.

Audrey PumfordDepartment of Chemistry, University of Cincinnati, Cincinnati, Ohio 45221-0172, United States.
Ruixuan WanDepartment of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States.ORCID 0000-0001-6135-3166
Wenyu HuangDepartment of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States.ORCID 0009-0003-4594-4849
Bo ZhangDepartment of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States.ORCID 0000-0002-1737-1241
Ryan J WhiteDepartment of Chemistry and Department of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, Ohio 45221-0172, United States.ORCID 0000-0003-0849-0457

Funding

Developing Electrochemical Sensors to Enable Quantitative Measure of Gliotransmitter Release from AstrocytesR01NS134365 · NINDS · UNIVERSITY OF CINCINNATI · PI Ryan J. White, Yi Xiao · 2023 to 2026
$1.5M
A Bipolar Electrochemical Single Entity BioanalyzerR21GM149994 · NIGMS · UNIVERSITY OF WASHINGTON · PI ZHANG, BO · 2023 to 2024
$397k
NIGMS NIH HHS R21 GM149994NINDS NIH HHS R01 NS134365
6 · The paper itself

Abstract

Traditionally, single nanoparticle collision experiments have been used to understand fundamental properties about nanoparticles at the highest resolution-one at a time. However, this technique shows great promise in being used for future applications such as a digital sensing platform. For this technique to translate into an ultrasensitive sensing method, two main challenges must be addressed: (1) achieving sufficient sensitivity (signal-to-noise ratio) when there are modifications to the particle or electrode to impart biospecificity or chemical specificity and (2) improving the reproducibility and standardization of data analysis across experiments. In this perspective, we discuss the state of the field of nanoparticle collision experiments, common challenges researchers may face, and suggestions on what it will take to move this technique forward into important and ultrasensitive applications.

Indexed as

collisional frequencydigital sensingnanoparticlesingle entity electrochemistrysurface modification

Identifiers

PMID42639530
PMCPMC13502092

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.