Evidence map›Paper›PMID 41692855›Full record

ArticleAnalytical and bioanalytical chemistry2026

Reliable LC-MS/MS method integrated with a linear retention index approach for multiresidue pesticide analysis in hemp seed oil.

Antonio Ferracane, Roberto Laganà Vinci, Francesca Rigano, Katia Arena, Michal Kašpar, Inmaculada Moscoso-Ruiz, Petr Česla, Francesco Cacciola, Paola Dugo, Luigi Mondello

Abstract readValidation Study
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. 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

10 authors.

Antonio FerracaneMessina Institute of Technology, c/o, University of Messina, Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Viale G. Palatucci 13, Messina, 98168, Italy.
Roberto Laganà VinciChromaleont s.r.l., c/o, Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale G. Palatucci 13, 98168, Messina, Italy.
Francesca RiganoMessina Institute of Technology, c/o, University of Messina, Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Viale G. Palatucci 13, Messina, 98168, Italy.
Katia ArenaMessina Institute of Technology, c/o, University of Messina, Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Viale G. Palatucci 13, Messina, 98168, Italy. arenak@unime.it.
Michal KašparDepartment of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 95, 53210, Pardubice, Czech Republic.
Inmaculada Moscoso-RuizCentro de Investigación y Desarrollo del Alimento Funcional (CIDAF), Avda. Del Conocimiento, 37, 18016, Granada, Spain.
Petr ČeslaDepartment of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 95, 53210, Pardubice, Czech Republic.
Francesco CacciolaMessina Institute of Technology, c/o, University of Messina, Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Viale G. Palatucci 13, Messina, 98168, Italy.
Paola DugoMessina Institute of Technology, c/o, University of Messina, Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Viale G. Palatucci 13, Messina, 98168, Italy.
Luigi MondelloMessina Institute of Technology, c/o, University of Messina, Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Viale G. Palatucci 13, Messina, 98168, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing global demand for hemp seed oil (HSO) necessitates robust analytical methods to monitor pesticide residues and ensure compliance with increasingly stringent international regulations. This study presents a rapid and efficient multiresidue method for the determination of 148 pesticides in HSO using liquid chromatography-tandem mass spectrometry (LC-MS/MS), coupled with a linear retention index (LRI) approach to enhance compound identification confidence. The method features a streamlined extraction protocol with reduced solvent consumption (5 mL ACN per sample) and achieves chromatographic separation within 12 min. Method validation demonstrated excellent sensitivity (LOQs, 0.03-22.29 ng g⁻

Indexed as

CannabisLiquid Chromatography-Mass SpectrometryPesticide ResiduesPlant OilsTandem Mass SpectrometryChromatography, LiquidFood ContaminationLimit of DetectionPlant ExtractsReproducibility of ResultsSeedshempseed oilPesticide ResiduesPlant ExtractsPlant OilsHemp seed oilLinear retention indexLiquid chromatographyMultiresidue analysisPesticidesTandem mass spectrometry

Identifiers

PMID41692855

What OpenQuestion holds

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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.