Novel Techniques for the Detection of Toxins and Harmful Substances in Food

Dear Colleagues,

Natural toxins and harmful substances in food represent serious risks for human health, but they can be managed through detection, monitoring, and preventive measures. For assurance of food safety and protection of public health, it is crucial to prioritize research on advanced analytical techniques for detection and quantification, the adoption of good agricultural practices, and robust regulatory frameworks. Advances in analytical techniques, infrared spectroscopy, and artificial intelligence are improving our ability to detect and control food contaminants effectively.

Research and review articles exploring all aspects of “Novel Techniques for the Detection of Toxins and Harmful Substances in Food” are requested for this Special Issue of Foods. This Special Issue will focus on the development of predictive models for natural toxin occurrence and contaminants in food matrices using spectroscopic methods and machine learning technologies, including the influence of agricultural practices, food processing, and storage conditions for contaminant control, highlighting the enforcement of novel techniques for food safety measures and contaminant monitoring in food safety regulatory standards.

Dr. Bruna Carbas
Dr. Pedro N. Sousa Sampaio
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-anonymized 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.