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Ewe's milk naturally contaminated with aflatoxin M 1 (AFM 1 ) at 0.024–0.117 μg/kg, was used to produce a semi-hard, ripened, Pecorino cheese. A predictive model to estimate the concentration of AFM 1 in milk, by considering the values in cheese, was applied; furthermore, an AFM 1 concentration in cheese, at different time of ripening, was investigated. The regression model showed a high correlation between the AFM 1 amount in milk and its concentration in cheese. To establish the level of AFM 1 contamination in milk, from taking into account the cheese AFM 1 amount, a concentration factor of 4.13, with a confidence interval (CI) of 3.80–4.41, was obtained. The concentration index was constant during ripening. Thus, the model is a useful tool for the food business operator, when the competent authority carries out an official control, as prescribed by the European Commission Regulation No. 1881/2006. [ABSTRACT FROM AUTHOR]

A challenge test based on the inoculum of a multi-strain cocktail of Listeria innocua and Salmonella enterica viable cells was carried out to evaluate the capacity of an accelerated manufacturing technique (including conventional fermentation of the meat batter followed by freezing, slicing and drying) to guarantee the safety of Milano-type fermented sausages. The counts of S. enterica decreased by 1.5 and 1.6 log CFU/g in the sausages inoculated with 2 and 4 log CFU/g, respectively, while a less notable reduction (0.4 log CFU/g) was recorded for L. innocua, independently from the inoculum load. The comparison between the main microbiological and physico-chemical features of non- inoculated fermented sausages, produced through either the accelerated or the traditional process, highlighted significant differences in the percent R.H. and aw values, as well as pH In both cases, the absence of Salmonella spp. and Listeria monocytogenes was ascertained. These outcomes encourage further investigation on the fate of these foodborne pathogens during a shelf-life challenge test. No differences were highlighted for the main sensory parameters analyzed. [ABSTRACT FROM AUTHOR]

Earthquakes have been found to be associated with increased prevalence of psychiatric disorders: Post-traumatic Stress Disorder (PTSD) with a diagnosis range of 1.5%-74%, depression, anxiety and sleep disorders and substance abuse. Risk factors are varied: exposure to the earthquake, closeness to the epicenter, disruption of social network, financial loss, female sex, low educational level, etc. PTSD diagnosis is difficult because people unconsciously neglect traumatic history and ignore consequences. Between April 6th 2009 and September 2009, 323 young survivors aged between 18 and 30 years were screened for PTSD symptoms at the S.M.I.L.E., a psychiatric service for young people at the L'Aquila Camp Hospital. The screening assessment consisted of: a socio-demographic schedule with questions about earthquake experience, the General Health Questionnaire-12 items (GHQ-12), Impact Event Scale-Revised (IES-R) and Semi-structured Clinical Interview Diagnosis II (SCID-II). Regarding psychiatric morbidity, 44.2% and 37.4% had respectively moderate and high stress levels. Female gender and unemployment were significantly correlated (p<.001) with stress level and Obsessive-Compulsive (OC) trait. After screening assessment, the 66.7% (N=215) of total sample showed a positive post-traumatic symptomatology with 13.8% of PTSD diagnosis. Obsessive-Compulsive trait, female gender, destruction of housing and high level of stress (GHQ ≥ 20) were significant predictors for a PTSD diagnosis when compared with subjects positive for PTSD symptomatology but without a PTSD diagnosis according to DSM-IV criteria. Personality features must be considered important risks for post-traumatic consequences: OC trait was significantly associated with a high score on the GHQ-12 (≥20) and is a significant predictor of PTSD symptoms (“re-experiencing” dimension). Houses destroyed, gender and unemployed were also important risk factors. Our study confirms that a natural disaster produces high levels of mental disorders with significant long-term risk of chronic impairment, such as the development of a PTSD diagnosis (13.8%) with enormously costly consequences for the mental health care system and society. This should be a high priority in a public health program. [ABSTRACT FROM AUTHOR]