Evidence map›Paper›PMID 37698599›Full record

ArticleAnalytical and bioanalytical chemistry2023

Pesticide residue analysis in different spice samples by automatic µSPE clean-up workflow determination using LC-MS/MS.

Lorena Manzano-Sánchez, Suganthi Angappan, José Antonio Martínez, Ana Del Real Aguilera, Amadeo Rodríguez Fernández-Alba

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. 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
1.8field-weighted citation impact, top 15% of its field
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, 9 citations in OpenAlex.

  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

5 authors at 2 institutions in 3 countries.

Lorena Manzano-SánchezEuropean Union Reference Laboratory for Pesticide Residues in Fruits & Vegetables, Agrifood Campus of International Excellence (ceiA3), University of Almeria, Ctra. Sacramento S/N˚, La Cañada de San Urbano, 04120, Almeria, Spain.
Suganthi AngappanTamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India.
José Antonio MartínezEuropean Union Reference Laboratory for Pesticide Residues in Fruits & Vegetables, Agrifood Campus of International Excellence (ceiA3), University of Almeria, Ctra. Sacramento S/N˚, La Cañada de San Urbano, 04120, Almeria, Spain.
Ana Del Real AguileraEuropean Union Reference Laboratory for Pesticide Residues in Fruits & Vegetables, Agrifood Campus of International Excellence (ceiA3), University of Almeria, Ctra. Sacramento S/N˚, La Cañada de San Urbano, 04120, Almeria, Spain.
Amadeo Rodríguez Fernández-AlbaEuropean Union Reference Laboratory for Pesticide Residues in Fruits & Vegetables, Agrifood Campus of International Excellence (ceiA3), University of Almeria, Ctra. Sacramento S/N˚, La Cañada de San Urbano, 04120, Almeria, Spain. amadeo@ual.es.ORCID http://orcid.org/0000-0001-7013-4459
European Union · BETamil Nadu Agricultural University · IN

Funding

European Commission DG SANTE SI2.870831
6 · The paper itself

Abstract

Spices such as paprika, curry, turmeric, dry chilli, and black pepper are grown in various geographic locations and widely used by consumers across the world. Pesticides applied during crop production practices could contaminate the produce, affecting the quality and posing a health risk for consumers. The complexity of the spice matrix and the wide range of target pesticides potentially present require special sample extraction and clean-up treatments to overcome matrix interference and ion suppression. In this study, sample extracts from spice matrices (paprika/curry/turmeric/dry chilli/black pepper) were cleaned up by an automated µSPE clean-up method for multi-residue analysis of pesticides using LC-MS/MS. The automated µSPE clean-up method involves pre-filled cartridges containing various sorbent materials suitable for numerous co-extractives and the automated clean-up process was carried out using an autosampler. The regulatory limit for pesticides in spices varies with type, with a low MRL of 0.05 mg kg

Indexed as

Food ContaminationPesticide ResiduesSolid Phase MicroextractionSpicesTandem Mass SpectrometryAutomationChromatography, LiquidLimit of DetectionLiquid Chromatography-Mass SpectrometryWorkflowPesticide ResiduesAutomated clean-upLC-MS/MSPesticide residuesSpicesµSPE

Identifiers

PMID37698599
OpenAlexW4386624634

What OpenQuestion holds

Textmetadata
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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.