application of alternative food-preservation - Bentham Science
application of alternative food-preservation - Bentham Science
application of alternative food-preservation - Bentham Science
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Risk Assessment Application <strong>of</strong> Alternative Food-Preservation Technologies 5<br />
The QRA was proposed by the Codex Alimentarius, as decision process to maintain hazard below a defined<br />
level; it is generally used both at International and Country Levels as a mean for the definition and assessment <strong>of</strong><br />
health policies, through the evaluation <strong>of</strong> the sanitary risks associated with some hazards (microorganisms,<br />
toxins, chemicals…) by means <strong>of</strong> epidemiological data, predictive modeling and challenge tests. It is followed<br />
by a phase or risk communication (from the scientists to the stakeholders and vice versa) and risk management<br />
(definition <strong>of</strong> standards and guidelines). The following sections <strong>of</strong> this chapter focus on this kind <strong>of</strong> approach.<br />
The risk categorization, known also as <strong>food</strong>-factory categorization, was introduced in the EU by the regulation<br />
882/2004 for <strong>food</strong> <strong>of</strong> animal origin (milk, meat, egg) and is based on the evaluation and classification <strong>of</strong> a <strong>food</strong><br />
factory as a function <strong>of</strong> the risk associated. This classification is aimed to the establishment <strong>of</strong> the number <strong>of</strong> the<br />
<strong>of</strong>ficial controls for each producer and for the individuation <strong>of</strong> the weak point <strong>of</strong> the <strong>food</strong> chain.<br />
The regulation states that a flow-chart should be assessed for each group <strong>of</strong> <strong>food</strong>-producers (or better for each<br />
<strong>food</strong>-producer), with the aim <strong>of</strong> combining and evaluating the risk associated with production and the<br />
effectiveness <strong>of</strong> the control measures. This flow chart uses 9 different parameters, as follows:<br />
Potential hazard (microbiological, chemical, physical…), as a function <strong>of</strong> the product.<br />
Food processing and raw material.<br />
Target (consumers using the product).<br />
Amount <strong>of</strong> <strong>food</strong> produced by the industry.<br />
Risks for the human health.<br />
Animal wellness.<br />
Manufacturing practices.<br />
Hygiene into the environment.<br />
Efficacy <strong>of</strong> the risk management system.<br />
The use <strong>of</strong> the flow chart results in a numerical rank, which defines:<br />
1. the risk associated with the particular <strong>food</strong> producers and <strong>food</strong>-product;<br />
2. the number <strong>of</strong> <strong>of</strong>ficial and internal controls needed to assure a sufficient level <strong>of</strong> health protection;<br />
3. the weak points <strong>of</strong> the chain that should be checked.<br />
The risk-benefit analysis is an approach quite similar to the QRAs and is generally proposed and used for the<br />
evaluation <strong>of</strong> the acceptable daily intake and toxic levels <strong>of</strong> nutrients and chemicals; this kind <strong>of</strong> evaluation has<br />
been recently proposed by the European Food Safety Agency (EFSA) also for the microbiological hazards.<br />
The risk-benefit analysis is based on some simple assumptions (Fig. 1):<br />
Everyone has a propensity to take risks.<br />
This propensity varies amongst individuals.<br />
Perception <strong>of</strong> risk is influenced by experience <strong>of</strong> accidents.<br />
Individual risk taking decisions represent balancing act in which perceptions <strong>of</strong> risk are weighed<br />
against propensity to take risk.<br />
By definition accidents are a consequence <strong>of</strong> taking risk; the more risks a person takes, the greater<br />
will be both the rewards and losses he/she incurs.<br />
As regards the use <strong>of</strong> the risk-benefit analysis throughout <strong>food</strong> microbiology and <strong>food</strong> science, the evaluation <strong>of</strong><br />
the hierarchy <strong>of</strong> risks is performed through a parameter called DALYs (e.g. Disability Adjusted Life), defined as<br />
the sum <strong>of</strong> the years loosen as a consequence <strong>of</strong> the hazards and the years affected by a “disability” [6].