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Articles by Giovanni Antonini
Total Records ( 3 ) for Giovanni Antonini
  Giorgia Bottini , Francesca Losito , Alessio De Ascenti , Francesca Romana Priolisi , Alberto Mari and Giovanni Antonini
  The aim of this study was the validation of the Micro Biological Survey (MBS) method for microbiological analysis of food for Total Viable Count (TVC) and Escherichia coli (E. coli). The MBS method is a rapid quantitative alternative method for the detection and selective counting of bacteria in agro-food, in water and in environmental samples. It is based on colorimetric survey in mono-use disposable reaction vials that must be filled with the samples without any preliminary treatment (e.g., homogenization, dilution, etc.); the greater the number of bacteria presents into the sample, the faster the color change. However, an independent evaluation of the analytical results obtained with MBS method would be required before commercialization. Therefore, this alternative method was validated in comparison to the reference method. The general estimate of precision, reliability, uncertainty, linearity, accuracy and selectivity were determined. All the performance parameters have demonstrated total correlation between the alternative method and the reference method for the detection and counting of TVC and E. coli both in artificially contaminated and in naturally contaminated samples. MBS assay can be used as rapid and user friendly screening method for detection of TVC and E. coli in food industry.
  Francesca Losito , Giorgia Bottini , Alessio De Ascentis , Francesca Romana Priolisi , Alberto Mari , Gianfranco Tarsitani and Giovanni Antonini
  The objective of the present study was the preliminary validation of the qualitative MBS method for Salmonella spp. and Listeria spp. and the quantitative MBS method for Enterobacteriaceae and Staphylococcus aureus. The MBS method is a rapid alternative method for the detection and selective counting of bacteria in agro-food, in water and in environmental samples. It is based on a colorimetric survey in mono-use disposable reaction vials that can be filled with the samples without any preliminary treatment (e.g., homogenization, dilution, etc.); the greater the number of bacteria present in the sample, the faster the color changes. For the qualitative validation of the MBS method for Salmonella spp. and Listeria spp., selectivity, relative accuracy, relative specificity and relative sensitivity were determined. Selectivity, linearity and accuracy were analyzed for the quantitative validation of the MBS method for Enterobacteriaceae and Staphylococcus aureus. The validation here reported has shown that the MBS method for Listeria spp., Salmonella spp., Enterobacteriaceae and S. aureus give similar results and are in agreement with the reference method.
  Alyexandra Arienzo , Francesca Losito , Ottavia Stalio and Giovanni Antonini
  The objectives highlighted in the present study were to determine the estimates of measurement uncertainty associated with microbiological analysis in food samples performing a gage repeatability and reproducibility study on three different microbiological methods of analysis for the detection and quantification of total coliforms; Plate count method, 3M PetrifilmTM count plates method and the MBS method. For all three methods the contribution the total gage R and R is less than 10%, demonstrating the ability to accurately evaluate the concentration of total coliforms in food samples. However, the repeatability and reproducibility follows the tendency; Plate count method<3M PetrifilmTM count plates method<MBS method. The study also highlights that a significant variation is due to the interaction between the operators and the analyzed samples for plate count and 3M PetrifilmTM count plates methods while for the MBS method it does not significantly affect the measure. Together these results demonstrate that greater repeatability and reproducibility are connected to a more simple analytical procedure demonstrating that uncertainty is certainly related to the amount of manual work and the individual interpretation of results. Results confirm that it is important to diminish these sources of error reducing labor and simplifying procedures and increasing automation.
 
 
 
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