Evidence map›Paper›PMID 33439628›Full record

ArticleACS sensors2021

Silver Nanocubes as Electrochemical Labels for Bioassays.

Yi Peng, Charlie Rabin, Charuksha T Walgama, Nicole E Pollok, Leilani Smith, Ian Richards, Richard M Crooks

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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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 1 institution in 1 country.

Yi PengDepartment of Chemistry, The University of Texas at Austin, 100 E. 24th Street, Stop A1590, Austin, Texas 78712-1224, United States.ORCID 0000-0002-5319-1336
Charlie RabinDepartment of Chemistry, The University of Texas at Austin, 100 E. 24th Street, Stop A1590, Austin, Texas 78712-1224, United States.
Charuksha T WalgamaDepartment of Chemistry, The University of Texas at Austin, 100 E. 24th Street, Stop A1590, Austin, Texas 78712-1224, United States.ORCID 0000-0002-5549-0436
Nicole E PollokDepartment of Chemistry, The University of Texas at Austin, 100 E. 24th Street, Stop A1590, Austin, Texas 78712-1224, United States.
Leilani SmithDepartment of Chemistry, The University of Texas at Austin, 100 E. 24th Street, Stop A1590, Austin, Texas 78712-1224, United States.
Ian RichardsInteractives Executive Excellence LLC, Austin, Texas 78733 United States.
Richard M CrooksDepartment of Chemistry, The University of Texas at Austin, 100 E. 24th Street, Stop A1590, Austin, Texas 78712-1224, United States.ORCID 0000-0001-5186-4878
The University of Texas at Austin · US

Funding

A disposable NT-proBNP sensor for managing heart failure at homeR01HL137601 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI CROOKS, RICHARD M · 2017 to 2020
$2.0M
NHLBI NIH HHS R01 HL137601
6 · The paper itself

Abstract

Here, we report on the use of 40 ± 4 nm silver nanocubes (AgNCs) as electrochemical labels in bioassays. The model metalloimmunoassay combines galvanic exchange (GE) and anodic stripping voltammetry (ASV). The results show that a lower limit of detection is achieved by simply changing the shape of the Ag label yielding improved GE with AgNCs when compared to GE with spherical silver nanoparticles (sAgNPs). Specifically, during GE between electrogenerated Au

Indexed as

Metal NanoparticlesSilverBiological AssayElectrodesSilverelectrochemical labelgalvanic exchangemetalloimmunoassaypaper-based sensorsilver nanocube

Identifiers

PMID33439628
PMCPMC8005456
OpenAlexW3120348371

What OpenQuestion holds

Textmetadata
LicenceTDM
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.