03352nam 2200865z- 450 991055729860332120210501(CKB)5400000000041053(oapen)https://directory.doabooks.org/handle/20.500.12854/69033(oapen)doab69033(EXLCZ)99540000000004105320202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierImproved Analytical Technologies for the Detection of Natural Toxins and Their Metabolites in FoodBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (156 p.)3-03936-920-2 3-03936-921-0 Food, by nature, is a biological substrate and is therefore capable of supporting the growth of microbials that are potential producers of toxic compounds. Among them mycotoxins, marine biotoxins, plant toxins, cyanogenic glycosides, and toxins occurring in poisonous mushrooms 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. This book collects some of the recent key improvements of analytical methodologies for the detection of natural toxins and their metabolites in food, and highlights the challenges yet to be resolved. Special emphasis is given to emerging or less-investigated toxins, to provide the scientific community with new tools and/or data supporting a better understanding of related food safety issues.Research & information: generalbicsscabsorbance dataAflatoxin M1amanitinsamatoxinsantibodiesantibodyaptamersbiological samplebrevetoxinsCBA-N2aciguatoxinscitreoviridindeath cap mushroomselectrochemical biosensorsELISAHeliotropium amplexicauleherbshoneyimmunoassayindicinelateral flow immunoassayLC-MSLC-MS/MSlycopsaminematrix effectsmethod validationmicrobial toxin detectionmilkmonoclonal antibodiesmushroom poisoningn/aoleandrinParsonsia stramineaplant toxinspoint-of-carepyrrolizidine alkaloidricesaxitoxinsseafood safetystandardizationstrip test immunoassaytwo dimensional layered nanomaterialsurinevalidationResearch & information: generalLattanzio Veronica Maria Teresaedt1296152Lattanzio Veronica Maria TeresaothBOOK9910557298603321Improved Analytical Technologies for the Detection of Natural Toxins and Their Metabolites in Food3023816UNINA