Global Challenges and Solutions in the Early Warning, Monitoring and Toxicity Assessment of Biotoxins in the Food and Feed Chain
Rudolf Krska1,2, Eskola Mari3, Berthiller Franz1, Nielen Michel4, Oswald Isabelle5, Elliott Chris2, McNerney Oonagh6, BotanaLuis Miguel7, Malachová Alexandra8
(1. Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna (BOKU), 3430 Tulln, Austria; 2. Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, Northern Ireland, UK; 3. Medfiles Ltd, Rajatorpantie 41 C, 01640 Vantaa, Finland; 4. Laboratory of Organic Chemistry, Wageningen University, Wageningen, Netherlands; 5. Toxalim (Research Center in Food Toxicology), University of Toulouse, F-31027 Toulouse cedex 3, France; 6. IRIS Technology Solutions S.L., 08940 Cornellà de Llobregat, Spain; 7. Departamento de Farmacología, Facultad de Veterinaria, Universidade de Santiago de Compostela, Lugo, 27002 Spain; 8. FFoQSI GmbH, FFoQSI Austrian Competence Centre for Feed & Food Quality, Safety and Innovation, 3430 Tulln, Austria)
Abstract: There is a massive and urgent need to ensure safety and security of the food supply of the world´s growing population. However, global agriculture and food industries continue to be vulnerable to problems of contamination with biotoxins produced by plants, algae and particularly by fungi; with global warming and extreme weather events making the occurrence of these toxic metabolites even more unpredictable. In this paper we summarize the multidisciplinary, multi-sectoral complementary competencies needed to innovate in various scientific fields and approaches, so strongly needed to develop improved early warning, monitoring and toxicity assessment of biotoxins in the food and feed chain. These include big data approaches using satellite and drone images, portable monitoring devices and (combined) toxicity testing of (emerging) biotoxins using proteomics and transcriptomics.
Key words: food and feed safety; prediction; early warning; phycotoxins; mycotoxins; plant toxins
Chinese Library Classification Number: TS201.6
Documentary Identification Code: A Article ID: 1007-7561(2021)06-0009-06
Published time on CNKI: 2021-11-03 09:22:07
Published address on CNKI: https://kns.cnki.net/kcms/detail/11.3863.TS.20211102.1025.008.html
