Evidence map›Paper›PMID 39767067›Full record

ReviewFoods (Basel, Switzerland)2024

Recent Progress of Molecularly Imprinted Technique for the Detection of Mycotoxins in Food.

Yuan Wang, Dizhe Wei, Yu Wang, Meng Wang, Wenlei Zhai

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2024. 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

5 authors.

Yuan WangInstitute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Dizhe WeiInstitute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Yu WangSchool of Food Science and Engineering, Shanxi Agricultural University, Taiyuan 030801, China.
Meng WangInstitute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Wenlei ZhaiInstitute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0009-0008-3104-3907

Funding

Beijing Academy of Agricultural and Forestry Sciences KJCX20230217National Natural Science Foundation of China 32102056
6 · The paper itself

Abstract

Mycotoxins are a group of toxic metabolites produced by fungi that infect agricultural products. Consuming mycotoxin-contaminated foods and feeds can cause various adverse health effects in humans and animals. Therefore, developing rapid and sensitive analytical methods for detecting mycotoxins is an urgent task. The molecularly imprinted technique is an advanced analytical tool for the specific recognition and selective enrichment of target molecules. For the development of rapid detection methods for mycotoxins, synthesized molecularly imprinted polymers (MIPs) can serve as specific recognition elements. By integrating MIPs with various sensing platforms, such as solid-phase extraction, electrochemical sensors, fluorescence sensors, surface-enhanced Raman spectroscopy, and surface plasmonic resonance sensors, remarkable progress has been made in the detection of mycotoxins in foods. This review focuses on the advances in the application of MIPs for the rapid detection of various mycotoxins over the past five years. The development of new MIP synthesis methods is categorized and summarized. Moreover, the future potential of MIP-based methods for mycotoxin detection is also discussed and highlighted.

Indexed as

electrochemical sensorsfluorescence sensorsfood safetymolecularly imprinted polymersmycotoxinssolid-phase extractionsurface-enhanced Raman spectroscopysurface plasmon resonance

Identifiers

PMID39767067
PMCPMC11675330

What Socratic 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 Socratic graph.