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Novel Analytical Techniques in Food Chemistry

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: 15 July 2026

Special Issue Editor


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Guest Editor
Laboratory of Food Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, Greece
Interests: food analysis; food safety; chemical contaminants; mass spectrometry; food authenticity; bioactive molecules
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent scientific and technological advances are rapidly reshaping the field of food chemistry, developing powerful new tools to investigate food composition, safety, authenticity, and quality. Conventional analytical methods, while still widely used, are increasingly complemented by innovative, high-resolution, and data-rich approaches that offer greater sensitivity, speed, and reliability when working with complex food matrices.

Emerging techniques such as ambient and high-resolution mass spectrometry, advanced chromatographic–MS platforms, and novel spectroscopic and hyperspectral methods are enabling more detailed chemical characterization than ever before. At the same time, significant progress in biosensors, nanomaterial-based detection, microfluidic systems, and portable analytical devices supports rapid, on-site measurement—an essential capability for modern food monitoring. The increasing integration of chemometrics, machine learning, and AI further strengthens these innovations by enabling efficient processing of large datasets, facilitating pattern recognition, and improving decision-making in areas such as food authentication, contaminant detection, foodomics and particularly metabolomics and proteomics, and nutritional profiling.

This Special Issue welcomes original research and review articles showcasing advances in analytical methodologies and their applications in food chemistry. Topics of interest include novel MS and chromatographic techniques, spectroscopy and imaging, sensor technologies, microfluidic platforms, and data-driven analytical strategies aimed at enhancing food safety, quality assurance, and transparency across the food system. This collection will highlight innovative research and reviews that push the boundaries of food analysis, ensuring a safer, more authentic, and higher-quality global food supply.

Dr. Marilena Dasenaki
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. Molecules 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 2700 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

  • food quality and safety
  • food authenticity
  • food analysis
  • mass spectrometry
  • spectroscopic techniques
  • biosensors
  • chemometrics and machine learning
  • foodomics

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Published Papers

This special issue is now open for submission.
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