Novel Approaches for the Detection of Grain Products' Quality and Adulteration
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Grain".
Deadline for manuscript submissions: closed (25 January 2026) | Viewed by 556
Special Issue Editor
Interests: grain processing; functional polysaccharides; intestinal health; new product development; quality control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Grain products constitute a fundamental component of the global diet; their quality, authenticity, and safety are directly linked to public health and economic value. Traditional methods for assessing grain quality and detecting adulteration are characterized by time-intensive procedures and high operational costs, which limit their applicability for real-time and on-site monitoring. The development of rapid, cost-effective, and non-destructive analytical techniques is, therefore, critical for effective quality control and food safety assurance.
This Special Issue, "Novel Approaches for the Detection of Grain Products' Quality and Adulteration," aims to showcase recent scientific and technological advancements in the food industry. We invite original research and review articles focused on innovative approaches to assessing grain quality and authenticity. Topics of interest include—but are not limited to—rapid and non-invasive analytical methods, advancements in spectroscopy and imaging technologies, sensor-based detection systems, machine learning and artificial intelligence for data interpretation, and the identification of adulteration practices and their implications for human health. Contributions addressing novel quality markers, authenticity verification strategies, and traceability technologies are also highly encouraged.
This Special Issue seeks to provide a comprehensive platform for emerging methodologies and interdisciplinary strategies that can enhance the integrity, safety, and value of grain-based food products.
Prof. Dr. Litao Tong
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. 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
- grain product quality
- adulteration detection
- spectroscopic analysis
- sensor-based detection
- non-destructive analysis
- online detection
- deep learning
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