Evidence map›Paper›PMID 41559095›Full record

ArticleNPJ science of food2026

Natural deep eutectic solvents as a sustainable alternative for multi-class pesticide extraction in food safety analysis.

Laura Carbonell-Rozas, Ivan Aloisi, Antonia Garrido Frenich, Hans Mol, Laura Righetti

Abstract read
In one paragraph

Article in NPJ science of food, 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. Review
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.

Laura Carbonell-RozasDepartment of Chemistry and Physics, Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology (CIAIMBITAL), Agrifood Campus of International Excellence (ceiA3), University of Almeria, Almeria, Spain. lauracr@ual.es.
Ivan AloisiWageningen Food Safety Research, part of Wageningen University & Research, Wageningen, The Netherlands. ivan.aloisi@wur.nl.
Antonia Garrido FrenichDepartment of Chemistry and Physics, Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology (CIAIMBITAL), Agrifood Campus of International Excellence (ceiA3), University of Almeria, Almeria, Spain.
Hans MolWageningen Food Safety Research, part of Wageningen University & Research, Wageningen, The Netherlands.
Laura RighettiWageningen Food Safety Research, part of Wageningen University & Research, Wageningen, The Netherlands.

Funding

Spanish Ministry of Science and Innovation and the European Union "NextGenerationEU"/PRTR MCIN/AEI/10.13039/501100011033
6 · The paper itself

Abstract

Pesticide residue analysis in food is frequently carried out worldwide, often requiring a large volume of organic solvents. To improve sustainability, new generation solvents such as natural deep eutectic solvents (NADES) have recently emerged as a promising alternative to conventional solvents. This study demonstrates the applicability of NADES as green extraction solvents for pesticides in food samples prior to analysis by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). The present research goes beyond previous studies by covering an extended set of pesticide residues. For that, five hydrophilic and hydrophobic NADES were evaluated as extraction solvents in a solid-liquid extraction (SLE). Initially, eleven representative pesticides covering a broad range of chemical classes and physicochemical properties were selected, while food matrices were chosen to cover different commodity groups according to SANTE/11312/2021v2, including orange, wheat, and spinach. NADES were tailored in order to cover a wide range of physicochemical properties such as polarity, pH, and viscosity. Thymol: menthol (molar ratio, 1:1) was found to be the most effective, and key extraction parameters were optimized. The greenness and transferability of the NADES-based SLE were evaluated using the AGREEprep and BAGI metrics. Finally, the method was successfully validated for the extraction of a wide range of pesticides commonly analyzed in food safety assessments.

Identifiers

PMID41559095
PMCPMC12909887

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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.