Analytical Technologies and Intelligent Applications in Future Food
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Food Chemistry".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 4
Special Issue Editors
Interests: innovative food processing technologies; extraction of natural products; isolation and identification of bioactive compounds; bioavailability
Special Issues, Collections and Topics in MDPI journals
Interests: nanolipid science and technology; droplet microfluidics; encapsulation and delivery of food active ingredients
Interests: seafood fermentation; foodomics; flavor formation mechanism; protein–flavor interactions; functional substances
Special Issue Information
Dear Colleagues,
The intersection of advanced analytical technologies and artificial intelligence (AI) is revolutionizing modern food chemistry. As food matrices become increasingly complex and consumer demands for nutrition, safety, traceability, and sensory quality soar, the need for analytical solutions that are precise, sensitive, rapid, intelligent, and adaptable has never been greater.
This Special Issue delves into cutting-edge analytical methodologies—including chromatography, spectroscopy, mass spectrometry, and sensor technologies—augmented by AI, machine learning, and chemometric modeling. These intelligent approaches are fundamentally transforming food analysis and data interpretation, enabling unprecedented accuracy in detecting nutrients, bioactive compounds, contaminants, flavor volatiles, and processing indicators across diverse food systems. We seek original research and review articles that showcase the development of innovative applications of intelligent analytical strategies within various food categories, such as meat, dairy, grains, plant-based alternatives, fermented products, and functional beverages.
Key topics of interest include, but are not limited to, the following: AI-driven flavoromics and sensory profiling, predictive modeling for shelf-life estimation, sophisticated algorithms for food fraud detection and authenticity verification, and the development of real-time monitoring platforms for ensuring food quality and safety. By forging stronger links between food chemistry and intelligent technologies, this Special Issue aims to catalyze data-driven innovations, empower smart food processing, and provide novel insights into the future of precision food science.
Dr. Changwei Hsieh
Dr. Chunhuan Liu
Guest Editors
Dr. Shipeng Yin
Dr. Xiuhang Chai
Guest Editors Assistants
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- artificial intelligence (AI) in food chemistry
- machine learning for food analysis
- intelligent sensing systems for food
- food quality, safety, and authenticity
- non-targeted screening in food
- detection of food adulteration and contaminants
- big data analytics in food science
- smart food processing and quality control
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