Current Progress in Analytical Platforms for Tracing Pesticides and Emerging Food Contaminant Screening and Quantitation
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 3
Special Issue Editor
Interests: MS; UPLC-MS/MS; nitrated and oxygenated polycyclic aromatic hydrocarbons; liquid–liquid microextraction; liquid chromatography
Special Issue Information
Dear Colleagues,
Global food safety is determined by the ability to rapidly and accurately monitor chemical hazards in the food supply chain. Pesticide residues and their metabolites, along with various emerging food contaminants (from processing, industrial pollutants, and new classes of toxins), present complex analytical challenges due to their ultra-trace concentrations and the diverse nature of food matrices. Traditional detection methods are often time-consuming, labor-intensive, and rely heavily on large volumes of (toxic) solvents, rendering them unsustainable from an environmental and economic perspective. Furthermore, these methods often struggle to keep pace with the increasing number of regulated compounds and the demands for high-throughput analysis.
This Special Issue of Foods aims to highlight current progress in the development, validation, and application of analytical platforms that revolutionize the screening and quantification of critical compounds. Emphasis is placed on methodologies that follow the principles of Green Analytical Chemistry. Authors must provide scientific proof of sustainability using established, quantitative metrics for their work to be included in this issue.
We are pleased to invite you to submit original research articles, comprehensive review papers, and technical notes covering all aspects of trace residue analysis.
Topics of interest include (but are not limited to) the following:
- Development of next-generation separation and mass spectrometry techniques.
- Innovative and green sample preparation methods.
- High-throughput screening and non-targeted analysis for detecting unknown or emerging contaminants.
- Methodologies focused on improved quantitation and overcoming matrix effects in complex foods.
- Application of chemometrics and data science for residue monitoring and risk assessment.
We look forward to receiving your contributions that advance the ability to analyze foods, supporting regulators, industries, and researchers in ensuring a safe food supply for all.
Dr. Soledad Cerutti
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- pesticide residues
- emerging contaminants
- metabolites
- mass spectrometry
- high-throughput screening
- non-targeted analysis
- biosensors
- miniaturization
- data science
- green analytical chemistry
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