Evidence map›Paper›PMID 40485901›Full record

ReviewCurrent research in food science2025

Technologies for detecting biological risk factors in agricultural products and their applications.

Yunfang Liu, Kaifa Liu, Yahui Liu

Abstract readReview
In one paragraph

Review in Current research in food science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Yunfang LiuSchool of Chemical Engineering Shenyang University of Chemical Technology, Shenyang, 110142, China.
Kaifa LiuSchool of Chemical Engineering Shenyang University of Chemical Technology, Shenyang, 110142, China.
Yahui LiuCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, 100029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural products are crucial to human survival and development. However, during every stage of production, from planting, growing, and harvesting to transportation and storage, products are at risk of infection by bacteria, fungi, viruses, parasites, and other biological factors. Accordingly, rapid and accurate detection of biological risks and effective risk monitoring are urgently required to ensure food safety and effective epidemic control. This review discusses the hazards associated with various biological risk factors for agricultural production. It also synthesizes cutting-edge research on detection technologies for identified risk factors, including nucleic acid amplification, immunoassay, biosensing, mass spectrometry, and spectroscopy. Each method's advantages, current challenges, and future applications are described. This study enhances our understanding of the risk factors in agricultural production and offers a valuable reference for the enhancement of detection technologies.

Indexed as

Agricultural productsBiological risk factorsDetection technologiesFood safety

Identifiers

PMID40485901
PMCPMC12141550

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.