Innovative diagnostic methods were developed for the detection and quantification of Listeria monocytogenes and Escherichia coli O157:H7 in minimally processed fresh cut fruits and vegetables. The aim of the present study was to validate the technical efficiency of these methods and evaluate their efficacy and viability for routine analysis. To this purpose, ready-to-eat fresh fruits and vegetables were collected throughout the production chain. A multidisciplinary approach, including a newly developed ELISA method compared to ISO procedures, was applied to detect the pathogenic bacteria after harvesting, processing and shelf-life. Results obtained exhibited the technical efficiency of the developed methods showing similar sensitivity, specificity, negative predictive values and negative likelihood ratios.
Validation of ELISA-based detection of L. monocytogenes and E. coli O157:H7 in fresh cut vegetables / M. Cavaiuolo, A. Ferrante, S. Paramithiotis, A. Hadjilouka, P. Tzamalis, E.H. Drosinos. - In: JOURNAL OF FOOD, AGRICULTURE & ENVIRONMENT. - ISSN 1459-0255. - 12:3/4(2014 Oct), pp. 98-99.
Validation of ELISA-based detection of L. monocytogenes and E. coli O157:H7 in fresh cut vegetables
M. CavaiuoloPrimo
;A. Ferrante
;
2014
Abstract
Innovative diagnostic methods were developed for the detection and quantification of Listeria monocytogenes and Escherichia coli O157:H7 in minimally processed fresh cut fruits and vegetables. The aim of the present study was to validate the technical efficiency of these methods and evaluate their efficacy and viability for routine analysis. To this purpose, ready-to-eat fresh fruits and vegetables were collected throughout the production chain. A multidisciplinary approach, including a newly developed ELISA method compared to ISO procedures, was applied to detect the pathogenic bacteria after harvesting, processing and shelf-life. Results obtained exhibited the technical efficiency of the developed methods showing similar sensitivity, specificity, negative predictive values and negative likelihood ratios.File | Dimensione | Formato | |
---|---|---|---|
JFAE 2014.pdf
Open Access dal 12/05/2015
Tipologia:
Publisher's version/PDF
Dimensione
179.26 kB
Formato
Adobe PDF
|
179.26 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.