Applications of Rapid Non-Destructive Technology in Food Quality and Safety Detection
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Engineering and Technology".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 10
Special Issue Editors
Interests: food non-destructive detection; spectral analysis; process detection strategy; machine learning; AI in food analysis
Special Issue Information
Dear Colleagues,
Ensuring food safety and quality remains a critical priority across global food supply chains. The escalating demand for zero-defect products, coupled with stricter regulatory scrutiny on chemical residues and microbial contaminants, underscores the imperative for rapid, non-destructive solutions that minimize waste while maximizing precision. This Special Issue, entitled "Applications of Rapid Non-Destructive Technology in Food Quality and Safety Detection", highlights cutting-edge advancements in real-time monitoring of food integrity at every stage—from farm to fork. It compiles interdisciplinary research on hyperspectral imaging, spectroscopic sensors (e.g., NIRS, Raman), AI-driven pattern recognition, and emerging techniques such as terahertz spectroscopy to address challenges in contamination detection, shelf-life prediction, and intrinsic quality assessment. Coverage spans applications in perishable commodities (fruits, meat), processed foods (packaging integrity, allergen screening), and emerging contaminants (mycotoxins, antibiotic residues), focusing on integrating these technologies into smart manufacturing workflows. By addressing technical barriers (e.g., standardization, cost-effectiveness) and regulatory compliance, this Special Issue will bridge the gap between laboratory-scale innovation and industrial scalability. Through collaborative insights from food scientists, engineers, and policymakers, these advancements will redefine strategies for building resilient, sustainable food systems that prioritize consumer trust, resource efficiency, and regulatory alignment. We invite contributions that explore the transformative potential of non-destructive technologies to shape the future of food safety analytics.
Dr. Tingting Shen
Prof. Dr. Chanjun Sun
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 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. 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
- perishable foods (meat, dairy, seafood)
- fresh produce (fruits, vegetables)
- contaminant detection (chemical, microbial)
- shelf-life prediction
- hyperspectral imaging (HSI)
- spectroscopy (NIRS, Raman, FTIR, etc.)
- laser-induced breakdown spectroscopy
- machine learning/AI in food analysis
- computer vision and image processing
- electronic nose/e-tongue
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