Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Food Contact Surfaces: Challenges, Legislation And Solutions, Shubham Sharma, Amit Jaiswal, Brendan Duffy, Swarna Jaiswal
Food Contact Surfaces: Challenges, Legislation And Solutions, Shubham Sharma, Amit Jaiswal, Brendan Duffy, Swarna Jaiswal
Articles
Food contact surfaces (FCSs) include all surfaces that may come in contact with the food during production, processing, and packaging. Food processing industries encounter several challenges due to its microbial interaction with the FCSs, such as cross-contamination of pathogenic microorganisms or allergens in food, formation of biofilm, biodeterioration of food contact surface leads to food with reduced shelf-life and quality. A legal EU framework provides the fundamental postulates for the safety and inertness of all Food Contact Materials (FCMs). Legislations have an important role in providing regulatory guidance on the quality assurance systems and verifying their implementation as a means …
Development Of A Hierarchical Model For Predicting Microbiological Contamination Of Private Groundwater Supplies In A Geologically Heterogeneous Region, Jean O'Dwyer, Paul Hynds, Kenneth Byrne, Michael Ryan, Catherine Adley
Development Of A Hierarchical Model For Predicting Microbiological Contamination Of Private Groundwater Supplies In A Geologically Heterogeneous Region, Jean O'Dwyer, Paul Hynds, Kenneth Byrne, Michael Ryan, Catherine Adley
Articles
Private groundwater sources in the Republic of Ireland provide drinking water to an estimated 750,000 people or 16% of the national population. Consumers of untreated groundwater are at increased risk of infection from pathogenic microorganisms. However, given the volume of private wells in operation, remediation or even quantification of public risk is both costly and time consuming. In this study, a hierarchical logistic regression model was developed to ‘predict’ contamination with E. coli based on the results of groundwater quality analyses of private wells (n = 132) during the period of September 2011 to November 2012. Assessment of potential microbial …