Evidence map›Paper›PMID 41425306›Full record

ArticleACS measurement science au2025

Cooperative Split DNA Activation of CRISPR-Cas12a for Sensitive and Selective Detection of Flunixin.

Jun Chen, Sathishkumar Munusamy, Rana Jahani, Rebecca Guan, Haiyan Zheng, Shuo Zhou, Juanhua Kong, Yuan Zhao, Lorelei Guan, Anudha Kanaherarachchi and 1 more

Abstract read
In one paragraph

Article in ACS measurement science au, 2025. 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. Article
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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

11 authors.

Jun ChenDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.
Sathishkumar MunusamyDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.
Rana JahaniDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.
Rebecca GuanSmith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States.
Haiyan ZhengDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.
Shuo ZhouDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.ORCID https://orcid.org/0000-0002-7491-3983
Juanhua KongDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.
Yuan ZhaoDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.
Lorelei GuanRock Bridge High School, Columbia, Missouri 65203, United States.
Anudha KanaherarachchiDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.
Xiyun GuanDepartment of Chemistry, University of Missouri, Columbia, Missouri 65211, United States.ORCID https://orcid.org/0000-0003-2022-4872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flunixin, a nonsteroidal anti-inflammatory drug widely used in veterinary therapy, presents a risk of residues entering both the food supply and the environment. Therefore, developing sensitive methods for the treatment of flunixin is of great importance. Herein, we report a highly sensitive and selective CRISPR-Cas12a based fluorescent assay for flunixin measurement. By employing functionalized magnetic beads which carry double-stranded DNA (dsDNA) formed by a flunixin binding aptamer and its short partially complementary single-stranded DNA (ssDNA) hybridization probe and taking advantage of two split ssDNA strands to synergistically trigger the

Indexed as

aptamerCas12adrugsmagnetic beadssplit DNA activation

Identifiers

PMID41425306
PMCPMC12715631

What OpenQuestion holds

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Registered trials

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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.