Evidence map›Paper›PMID 37929116›Full record

ArticleACS omega2023

Characterizing a Silver Nanoparticle-Based Electrochemical Biosensor for Shiga Toxin Detection.

Dhruv Patel, Madison Hansen, Christopher Lambert, Shruti Hegde, Harikrishnan Jayamohan, Bruce K Gale, Himanshu Jayant Sant

Abstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Dhruv PatelDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah 84112, United States.ORCID https://orcid.org/0000-0001-8221-3648
Madison HansenDepartment of Biology, University of Utah, Salt Lake City, Utah 84112, United States.
Christopher LambertDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah 84112, United States.
Shruti HegdeDepartment of Chemical Engineering, University of Utah, Salt Lake City, Utah 84112, United States.
Harikrishnan JayamohanDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah 84112, United States.
Bruce K GaleDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah 84112, United States.ORCID https://orcid.org/0000-0001-5843-3464
Himanshu Jayant SantDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah 84112, United States.

Funding

NIEHS NIH HHS 27300C0032
6 · The paper itself

Abstract

Shiga toxins (1, 2) regularly cause outbreaks and food recalls and pose a significant health risk to the infected population. Therefore, new reliable tools are needed to rapidly detect Shiga toxin cost-effectively in food, water, and wastewater before human consumption. Enzyme immunoassay and polymerase chain reaction approaches are the gold standard detection methods for the Shiga toxin. However, these methods require expensive instruments along with expensive reagents, which makes them hard to convert into point-of-use and low-cost systems. This study introduces an electrochemical biosensing method that utilizes silver nanoparticles (AgNPs) as electrochemical tags and commercially available low-cost screen-printed carbon electrodes for detection. This study introduces the modification of reference electrodes on commercially available screen-printed carbon electrodes to detect AgNPs dissolved in nitric acid. This biosensor achieved a 2 ng/mL lowest measured concentration for Shiga toxin-1 in less than 3 h. These biosensor results also showed that the AgNP-based sensor has better linearity (for graph between peak current vs concentration) and lower standard deviation compared to gold nanoparticles (AuNP)-based electrochemical biosensors.

Identifiers

PMID37929116
PMCPMC10620918

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.