Evidence map›Paper›PMID 40413555›Full record

ArticleBMC chemistry2025

Determination of 229 pesticides residue in edible oil samples using conventional quechers method and solid phase microextraction based on monolithic molecularly imprinted polymer fiber and analysis with GC-MS.

Fatemeh Kardani, Aniseh Zarei Jelyani, Tahere Khezeli, Mohammad Hashemi, Marzieh Rashedinia, Saeedeh Shariati, Masoud Mahdavinia, Seyyed Mohammad Ali Noorie

Abstract read
In one paragraph

Article in BMC chemistry, 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. Enhanced Detection of Organochlorine Pesticide Residues in Sesame Seeds (Journal of analytical methods in chemistry · 2026
    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

8 authors.

Fatemeh KardaniFood and Drug Administration, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. kardani.f@scu.ac.ir.
Aniseh Zarei JelyaniFood and Drug Administration, Shiraz University of Medical Sciences, Shiraz, Iran.
Tahere KhezeliDepartment of Chemistry, Faculty of Science, Ilam University, Ilam, 69315- 516, Iran.
Mohammad HashemiDepartment of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Marzieh RashediniaFood and Supplements Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Saeedeh ShariatiStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Masoud MahdaviniaDepartment of Toxicology, Faculty of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Seyyed Mohammad Ali NoorieFood and Drug Administration, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

Shahid Chamran University of Ahvaz 1403
6 · The paper itself

Abstract

The goal of this research is the development of a solid phase microextraction based on monolithic molecularly imprinted polymer fiber (SPME-MMIPF) method to determine 229 pesticides in edible oil samples using gas chromatography-mass spectrometry (GC-MS) and comparison of it with the common QuEChERS method. For SPME-MMIPF method, an MMIPF was synthesized by polymerization of methacrylic acid in presence of ethylene glycoldimethacrylate and azo (bis)-isobutyronitrile. The optimal conditions for the SPME-MMIPF method are: extraction time 30 min, desorption time with toluene 20 min and string speed of the aqueous sample 600 rpm. Under optimal extraction condition, the figures of merit were obtained for two methods and compared. The linear range of 1-300 µg kg

Indexed as

Edible oilGC-MSPesticidesQuEChERSSPME-MMIPF

Identifiers

PMID40413555
PMCPMC12102980

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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.