Evidence map›Paper›PMID 42787684›Full record

ReviewFrontiers in microbiology2026

Emerging Argonaute-based food safety detection: from amplification to amplification-free manner.

Wen Kang, Yaru Li, Lu Zhao, Long Ma, Yunfeng Bai, Feng Feng

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2026. 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

6 authors.

Wen KangSchool of Chemistry and Chemical Engineering, Shanxi Provincial Key Laboratory of Chemical Biosensing, Shanxi Datong University, Datong, China.
Yaru LiSchool of Agriculture and Life Science, Shanxi Datong University, Datong, China.
Lu ZhaoSchool of Chemistry and Chemical Engineering, Shanxi Provincial Key Laboratory of Chemical Biosensing, Shanxi Datong University, Datong, China.
Long MaState Key Laboratory of Food Nutrition and Safety, College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China.
Yunfeng BaiSchool of Chemistry and Chemical Engineering, Shanxi Provincial Key Laboratory of Chemical Biosensing, Shanxi Datong University, Datong, China.
Feng FengSchool of Chemistry and Chemical Engineering, Shanxi Provincial Key Laboratory of Chemical Biosensing, Shanxi Datong University, Datong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food safety has attracted extensive global attention, making the development of efficient and rapid detection methods essential for food safety risk control. Argonaute-based biosensing has emerged as a promising tool for food safety analysis owing to its unique advantages, including high recognition specificity, low constraints on target sequences, stable and cost-effective guides, and ease of multiplex detection. This review summarized recent progress in Argonaute-based biosensing from amplification to amplification-free manner within the field of pathogenic bacteria, viruses, toxins, etc. It begins with an overview of current nucleic acid detection methods and programmable nucleases. Then, the structure and working principle of Argonaute were briefly introduced. Subsequently, the application of Argonaute-based food safety detection was systematically reviewed according to amplification and amplification-free manners. followed by current challenges and future perspectives. Argonaute provides reliable technical support for food safety monitoring and contributes to the high-quality development of the food industry.

Indexed as

amplification-free detectionArgonautebiosensingfood safetyisothermal amplification

Identifiers

PMID42787684
PMCPMC13601977

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.