CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishOchratoxins are fungal secondary metabolites that may contaminate a broad variety of foodstuff, such as grains, vegetables, coffee, dried fruits, beer, wine and meats. Ochratoxin A (OTA) is a potent nephrotoxin, carcinogen, teratogen and immunotoxin. Samples of kidney, urinary bladder, intestine, stomach, liver, lymph nodes and muscles were obtained from 5 swine fed with OTA-contaminated feed. In the 5 swine, microscopical lesions were evidenced exclusively in the kidneys and in the urinary bladder, that displayed the highest concentrations of OTA by HPLC-FLD analysis, 23.9-27.5 mu g/kg and 9.8-11.5 mu g/kg, respectively.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | Ochratoxin A detection by HPLC in target tissues of swine and cytological and histological analysis | |
| Autori: | ||
| Data di pubblicazione: | 2007 | |
| Rivista: | ||
| Abstract: | Ochratoxins are fungal secondary metabolites that may contaminate a broad variety of foodstuff, such as grains, vegetables, coffee, dried fruits, beer, wine and meats. Ochratoxin A (OTA) is a potent nephrotoxin, carcinogen, teratogen and immunotoxin. Samples of kidney, urinary bladder, intestine, stomach, liver, lymph nodes and muscles were obtained from 5 swine fed with OTA-contaminated feed. In the 5 swine, microscopical lesions were evidenced exclusively in the kidneys and in the urinary bladder, that displayed the highest concentrations of OTA by HPLC-FLD analysis, 23.9-27.5 mu g/kg and 9.8-11.5 mu g/kg, respectively. | |
| Handle: | http://hdl.handle.net/11586/116389 | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
http://hdl.handle.net/11586/116389
Copyright © 2021