Evidence map›Paper›PMID 40870698›Full record

ArticleFoods (Basel, Switzerland)2025

Advanced Magnetic Imprinted Polymers Integrated with In Situ Ionization Mass Spectrometry for High-Throughput Pesticide Screening and Detection in Food Matrices.

Xuan Li, Feng-Lan Lv, Jun-Yun Wang, Yi-Chen Lu, Yun Li, Pan-Pan Li, Min Cao, Ya-Ru Ni, Xiao-Hui Xiong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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

9 authors.

Xuan LiCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Feng-Lan LvCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Jun-Yun WangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Yi-Chen LuCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.ORCID 0000-0002-9382-9082
Yun LiCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Pan-Pan LiCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Min CaoCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Ya-Ru NiCollege of Materials Science and Engineering, Nanjing Tech University, Nanjing 211816, China.
Xiao-Hui XiongCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research introduces magnetic molecularly imprinted polymers (MMIPs) as a novel tool for the efficient extraction and detection of pesticide residues in food products. The MMIPs exhibit a notable adsorption capacity ranging from 15.70 to 23.57 mg g

Indexed as

LTP-MSmagnetic molecularly imprinted polymersmultiple pesticide residue simultaneous detectionpretreatment method

Identifiers

PMID40870698
PMCPMC12385875

What OpenQuestion holds

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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.