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C M Billon

Publications and source records attributed to C M Billon.

2 recordsLinked to original sources

Quantitative microbiological risk assessment: principles applied to determining the comparative risk of salmonellosis from chicken products.

Ensuring microbiological safety requires identification of realistic hazards and the means of controlling them. The risk assessment framework proposed by Codex Alimentarius allows the impact of raw materials and processes to be appreciated, and the output can be used for risk management and communication. Mathematical models allow numerical information to be processed by a computer and interpreted to give quantitative or comparative risk assessments. In this example, models have been put together according to the Codex. Alimentarius principles, providing a quantitative risk assessment (QRA) of salmonellosis from frozen poultry products. This model-based QRA takes into account three types of information: occurrence and distribution of the agent, sensitivity of populations to infection (e.g., normal or susceptible), and the effect of cooking (in the factory or home) on concentration of the agent and hence risks of infection after product consumption. It only demonstrates the impact of a single-process step (heating) and the effect of changes in population sensitivity, raw material quality, and cooking regime on the final risk. The effects of growth and recontamination are not considered. To aid risk communication, the models have been visualized by means of displays and slider controls on a computer screen because effective communication is essential to encourage manufacturers and their product designers to assess the effect of changes in processing or materials on risk.

Adult↗

The effect of temperature on the germination of single spores of Clostridium botulinum 62A.

Phase-contrast microscopy coupled with image analysis has been used to study the germination of single spores of Clostridium botulinum and to investigate the variation of germination lag of individual spores in a population (biovariability). The experiment was repeated at five different temperatures between 20 degrees C and 37 degrees C to look at the effect of temperature on the biovaribility of the spore germination. Data analysis shows that the germination lag distribution is skewed, with a tail, and that its shape is affected by the temperature. The origin of this biovariability is not exactly known, but could be due to a distribution of characteristics (e.g. permeabilities) or molecules (e.g. lytic enzymes) in the spore population. The method developed in this study will help us to describe and better understand the kinetics of spore germination and how this is influence by different environmental factors such as temperature and other factors that influence germination.

Bacteriological Techniques↗