Chromatographic Techniques for Food Components Analysis
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: 10 September 2026 | Viewed by 336
Special Issue Editors
Interests: high resolution analytical chemistry; advanced chemical measurements; liquid- and solid-state nuclear magnetic resonance methodology; foodomics; fundamental and applied phase separation sciences; chemometrics and molecular spectroscopy; novel analytical methods in food sciences; pharmacy and biotechnology
Interests: food authentication; food contaminants; edible oil characterization; food fraud identification; liquid chromatography; mass spectrometry; bioactive compounds
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Food integrity, quality, identity, and authenticity can now be assessed using high-resolution analytical techniques that generate complex chemical footprints and fingerprints, reflecting the compositional characteristics of each food matrix. Achieving optimal chromatographic resolution for comprehensive food profiling relies on advances in both fundamental and applied phase separation sciences. Accordingly, this Special Issue is conceived to showcase innovative contributions focused on achieving and maximizing chromatographic resolution and separation performance in both preparative and analytical methods relevant to food and beverage sciences.
In particular, we welcome scientific advances aimed at improving and promoting innovative couplings within hyphenated chromatographic techniques in food analysis, as well as studies incorporating deep-learning tools for high-resolution chromatographic data acquisition and processing. Contributions addressing unsupervised (clustering-based) and supervised (regression- and classifier-based) multivariate statistical downstream analyses for the identification and quantification of key food components, metabolic pathway prediction, and/or metabolite structure prediction in food matrices are especially encouraged.
Dr. José Enrique Herbert-Pucheta
Dr. Paolo Lucci
Guest Editors
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
- fundamental and applied phase separation sciences
- food integrity, quality, identity, and authenticity
- foodomics
- hyphenated chromatographic methods
- high-resolution/high-performance chromatography
- multivariate non-linear deep learning and linear chemometrics in chromatography
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