Evidence map›Paper›PMID 39713035›Full record

ArticleACS measurement science au2024

Colorimetric Hybridization Sensor for DNA Mimic of a SARS-CoV-2 RNA Marker: Direct and Inverse Bioanalysis.

Zia Ul Quasim Syed, Sathya Samaraweera, Zhuo Wang, James Kelby Schrader, Colton Scott, Joshua Schut, Dozier Johnson Smith, Joshua D Ramsey, Sadagopan Krishnan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS measurement science au, 2024. 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. From conventional to biosensor-based detection ofFood and waterborne parasitology · 2026
    Review
  2. Article
  3. Article
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

9 authors.

Zia Ul Quasim SyedDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Sathya SamaraweeraDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Zhuo WangDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
James Kelby SchraderDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Colton ScottDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Joshua SchutDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Dozier Johnson SmithDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Joshua D RamseySchool of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID https://orcid.org/0000-0002-5872-5595
Sadagopan KrishnanDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID https://orcid.org/0000-0002-9968-2712

Funding

Multiplex Hybridization Colorimetric Sensor for Wild Type and Variant RNA BiomarkersR15EB034037 · NIBIB · OKLAHOMA STATE UNIVERSITY STILLWATER · PI KRISHNAN, SADAGOPAN · 2023 to 2023
$439k
NIBIB NIH HHS R15 EB034037
6 · The paper itself

Abstract

This article presents a colorimetric visual biosensor designed for direct application in undiluted biofluids, which holds significant promise for point-of-need applications. Unlike traditional biosensors that struggle with heavily diluted sample matrices, the presented biosensor does not require any instrumentation or trained personnel, making it highly practical. The sensor features an oligonucleotide probe covalently attached to magnetically separable magnetite (Fe

Identifiers

PMID39713035
PMCPMC11659999

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.