Chromatography and Mass Spectrometry Technologies Applied in the Detection of Food Contaminants Residues

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".

Deadline for manuscript submissions: 21 May 2026 | Viewed by 2328

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Department of Chemistry and Physics, Universidad de Almería, 04120 Almeria, Spain
Interests: analytical chemistry; chromatography; mass spectrometry; metabolomics and chemometrics; legacy and emerging contaminants in food; food safety
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Special Issue Information

Dear Colleagues,

Ensuring food safety requires continuous advances in analytical methodologies capable of detecting a wide range of contaminants at trace levels. This Special Issue aims to highlight recent developments and applications of chromatography and mass spectrometry in the identification and quantification of residues and emerging pollutants in food. We welcome contributions focused on both targeted and untargeted approaches, as well as method development, validation, and innovative sample preparation strategies.

Topics of interest include, but are not limited to, the following: pesticide residues, veterinary drugs, mycotoxins, legacy contaminants, microplastics, and other emerging substances and hazards. Studies addressing metabolomics, chemometrics, and advanced data processing applied to food contaminant analysis are also encouraged. Contributions that emphasize the greenness and sustainability of analytical methods, as well as novel approaches enabling rapid, portable, or in situ analysis, are particularly welcome.

This Special Issue seeks to provide a comprehensive overview of how chromatography and mass spectrometry are shaping the future of food contaminant detection and quality assurance. We invite researchers to submit original research articles, reviews, and short communications.

Prof. Dr. Roberto Romero-González
Guest Editor

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Keywords

  • food contaminants
  • chromatography
  • mass spectrometry
  • residue analysis
  • emerging pollutants
  • green analytical chemistry
  • in situ and portable analysis.

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Published Papers (2 papers)

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Research

19 pages, 1054 KB  
Article
Characteristics of Translocation, Distribution, and Transformation of the Nematicide Fluopyram in Cucumber and Tomato Seedlings and Risk Assessment Based on QSAR Model Prediction
by Yan Tao, Yinghui Xing, Junjie Jing, Pingzhong Yu, Min He, Li Chen, Zhanhai Kang and Ercheng Zhao
Foods 2026, 15(5), 833; https://doi.org/10.3390/foods15050833 - 2 Mar 2026
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Abstract
Fluopyram is a widely used nematicide with a growing number of varieties registered both domestically and overseas. However, its absorption, transportation, and metabolism behaviors in plants have not been fully elucidated, thus hindering comprehensive assessment of the risks associated with its use. This [...] Read more.
Fluopyram is a widely used nematicide with a growing number of varieties registered both domestically and overseas. However, its absorption, transportation, and metabolism behaviors in plants have not been fully elucidated, thus hindering comprehensive assessment of the risks associated with its use. This study investigated the plant uptake, distribution, and metabolic behavior of fluopyram through 168 h hydroponic experiments. Fluopyram was easily absorbed by the roots of the tested crops, and almost 90.5% and 70.9% of fluopyram was transformed in cucumber and tomato, respectively, leading to the tentative identification of 16 metabolites using Quadrupole Time-of-Flight mass spectrometry. The metabolic reactions involved were hydroxylation, hydroxylation–dechlorination, dehydrogenation, dechlorination, and glucuronidation conjugation. Most metabolites were detected in leaves, suggesting that they have considerable potential to accumulate in the upper parts, even the edible parts. Model prediction indicated that fluopyram and high-toxicity metabolites (M430A, M412C) pose significant risks to aquatic ecosystems across trophic levels, while M574A and M574B showed reduced toxicity due to glucuronidation conjugation. These findings deepen our understanding of the behavioral characteristics of fluopyram within plants, and serve as an important reference for comprehensively assessing its risks. Full article
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17 pages, 1830 KB  
Article
Green Extraction and Targeted LC-MS Analysis of Biopesticides in Honey Using Natural Deep Eutectic Solvents
by Theaveraj Ravi, Alba Reyes-Ávila, Laura Carbonell-Rozas, Asiah Nusaibah Masri, Antonia Garrido Frenich and Roberto Romero-González
Foods 2025, 14(19), 3438; https://doi.org/10.3390/foods14193438 - 8 Oct 2025
Cited by 3 | Viewed by 1616
Abstract
Natural Deep Eutectic Solvents (NADES) were synthesized from food-grade components and evaluated as green extractants for the simultaneous recovery and liquid chromatography coupled to quadrupole-Orbitrap mass spectrometry (LC–Q-Orbitrap-MS) analysis of biopesticide residues in a complex matrix like honey. Conventional solid–liquid extraction (SLE) was [...] Read more.
Natural Deep Eutectic Solvents (NADES) were synthesized from food-grade components and evaluated as green extractants for the simultaneous recovery and liquid chromatography coupled to quadrupole-Orbitrap mass spectrometry (LC–Q-Orbitrap-MS) analysis of biopesticide residues in a complex matrix like honey. Conventional solid–liquid extraction (SLE) was applied, initially using choline chloride-2,3-butanediol (1:4, molar ratio) as the NADES extractant solvent, before systematically evaluating other NADES formulations. Extraction parameters, such as time (10 min, 20 min, and 30 min), technique (rotary mixing vs. sonication), and NADES composition, namely lactic acid–glucose–water (LGH, 5:1:9, molar ratio), lactic acid–glycerol–water (LGLH, 1:1:3, molar ratio), urea–glycerol–water (UGLH, 1:1:2, molar ratio), and choline chloride–2,3-butanediol (ChClBt, 1:4, molar ratio), were systematically optimized. Rotating agitation for 10 min yielded the highest overall recoveries and was therefore selected as the optimal extraction time. Rotary shaking was chosen over sonication due to its superior performance across both simple and complex matrices. Among the NADES tested, UGLH proved to be the most effective composition for the honey matrix. The analytical method was validated for the honey matrix. Linearity showed excellent performance across the tested concentration range, with R2 values above 0.95 for all analytes. Matrix effects were within ±20% for nearly half of the compounds, while a few exhibited moderate matrix enhancement. Recoveries ranged from 50.1% to 120.5% at 500 µg/kg and 1000 µg/kg, demonstrating acceptable extraction performance. Intra-day and inter-day precision showed relative standard deviations (RSDs) below 20% for most analytes. Limits of quantification (LOQs) were established at 500 µg/kg for eight compounds based on recovery and precision criteria. These results confirm the suitability of the proposed NADES-based method for sensitive and reliable analysis of biopesticide residues in honey. When compared to conventional extraction methods, the proposed NADES-based protocol proved to be a greener alternative, achieving the highest AGREEprep score due to its use of non-toxic solvents, lower waste generation, and overall sustainability. Full article
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