Non-Destructive Analysis for the Detection of Contaminants in Food
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 10
Special Issue Editors
Interests: Raman spectroscopy; fluorescence spectroscopy; near-infrared spectroscopy; hyperspectral image; data mining; chemometrics
Special Issues, Collections and Topics in MDPI journals
Interests: enzymatic catalysis; high-value-added nutritional chemicals; nutritional food preparation; food component detection; food contaminants detection; food additives detection; enzyme; biosensor
Special Issues, Collections and Topics in MDPI journals
Interests: food safety and rapid testing; electrochemical sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Rapid detection technology has become a transformative solution to address the current challenges in global food safety monitoring. This Special Issue, "Non-Destructive Analysis for the Detection of Contaminants in Food", will focus on breakthrough methods for detecting chemical and biological contaminants in complex food matrices, including heavy metals, pesticides, antibiotics, mycotoxins, viruses, bacteria, fungi, etc. We welcome the submission of original research articles that demonstrate significant progress in areas such as detection speed, sensitivity, and field applicability, especially studies that combine nanotechnology, microfluidic technology, and artificial intelligence algorithms.
The technical foundation of effective and rapid detection systems requires careful optimization through multiple parameters. Submitted manuscripts must provide comprehensive validation data, including detection limits, quantitative ranges, cross-reactivity characteristics, and recovery rates. The following research will receive priority: (1) new signal amplification strategies using quantum dots or plasma nanoparticles; (2) detection platforms based on smartphones combined with cloud data integration; (3) microfluidic chips that can realize the sample-to-result processing flow; and (4) food analytical methods combined with new data mining algorithms.
In addition to methodological innovation, this Special Issue also emphasizes practical application scenarios in the food supply chain. We encourage researchers to produce case studies demonstrating technology deployment, covering the following aspects: (1) border inspection at import and export, (2) quality control points in processing factories, (3) monitoring systems at the retail level, and (4) detection equipment for consumers.
Dr. Kaiyi Zheng
Prof. Dr. Bin Zou
Dr. Yiwei Xu
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
- non-destructive detection
- spectral analysis
- electrochemical analysis
- photoelectrochemical analysis
- colorimetric method
- microfluidics
- molecular imprinting
- nanobody
- aptamer
- pesticides detection
- fungicides detection
- antibiotics detection
- mycotoxin detection
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