Improved Analytical Technologies for the Detection of Natural Toxins and Their Metabolites in Food
A special issue of Toxins (ISSN 2072-6651).
Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 48140
Special Issue Editor
Interests: food safety; food safety policy; development and validation of analytical methods for mycotoxin detection based either on mass spectrometry techniques and immunoassays, including organization of collaborative trials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Food, by nature, is a biological substrate and is therefore capable of supporting the growth of microbials that are potential producers of toxic compounds. Natural toxins can include mycotoxins, marine biotoxins, plant toxins, cyanogenic glycosides, and toxins occurring in poisonous mushrooms.
Natural toxins pose not only a risk to both human and animal health, but also impact food security and nutrition by reducing people’s access to healthy food. The risk assessments of natural toxins in food are used by bodies setting national and intergovernmental standards to establish the allowable maximum levels in food or to provide other risk management advice to control or prevent contamination.
The tracking and detection of natural toxins in foods back to their source is a primary responsibility of food producers, distributors, handlers, and vendors. National authorities should conduct monitoring and ensure that levels of the most relevant natural toxins in food commodities comply with both national and international maximum levels, conditions, and legislation.
This Special Issue of Toxins aims to explore the key improvements of analytical methodologies for the detection of natural toxins and their metabolites in food, as well as to highlight the challenges yet to be resolved.
We are particularly interested in contributions describing:
- scientific and technological innovations which hold promise for method application to risk assessment studies and food safety controls;
- reliable methodologies suitable for implementation in industries for autocontrol, HACCP plans, and process management;
- rapid, sustainable, and cost-effective technologies to be applied in developing countries that have poor resources and analytical capacity;
- up-to-date QC procedures and/or metrological tools, with an emphasis on multitoxin analysis.
Dr. Veronica Maria Teresa Lattanzio
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 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 double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxins is an international peer-reviewed open access monthly 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
- natural toxins
- food safety
- immunoassays
- biosensors
- liquid chromatography–mass spectrometry
- alternative receptors
- labels
- method validation
- quality control/quality assurance
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