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Improved Analytical Technologies for the Detection of Natural Toxins and Their Metabolites in Food



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Autore: Lattanzio Veronica Maria Teresa Visualizza persona
Titolo: Improved Analytical Technologies for the Detection of Natural Toxins and Their Metabolites in Food Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 online resource (156 p.)
Soggetto topico: Research & information: general
Soggetto non controllato: absorbance data
Aflatoxin M1
amanitins
amatoxins
antibodies
antibody
aptamers
biological sample
brevetoxins
CBA-N2a
ciguatoxins
citreoviridin
death cap mushrooms
electrochemical biosensors
ELISA
Heliotropium amplexicaule
herbs
honey
immunoassay
indicine
lateral flow immunoassay
LC-MS
LC-MS/MS
lycopsamine
matrix effects
method validation
microbial toxin detection
milk
monoclonal antibodies
mushroom poisoning
n/a
oleandrin
Parsonsia straminea
plant toxins
point-of-care
pyrrolizidine alkaloid
rice
saxitoxins
seafood safety
standardization
strip test immunoassay
two dimensional layered nanomaterials
urine
validation
Persona (resp. second.): LattanzioVeronica Maria Teresa
Sommario/riassunto: 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.
Titolo autorizzato: Improved Analytical Technologies for the Detection of Natural Toxins and Their Metabolites in Food  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557298603321
Lo trovi qui: Univ. Federico II
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