Risk Assessment

RSS

Foreign material (FM) is a known food safety hazard that is starting to be seen as an expected and accepted risk. FM detection devices are abundant in production facilities, but a detection device should never be viewed as a control point; rather, it is an insurance policy against food adulteration.

The European Food Safety Authority’s (EFSA’s) new Food Enzyme Intake Model (FEIM) web tool helps the food industry and consumers estimate dietary exposure to specific food enzymes per manufacturing processes.

A recent article identifies the challenges associated with allergenicity assessments of novel proteins and proposes a potential framework to prioritize proteins for allergenicity assessment.  

Intended to inform food safety decision-making, a new risk assessment model developed by researchers at Penn State University helps milk processors evaluate possible consumer exposure to Bacillus cereus from milk subjected to high-temperature, short-time pasteurization.

A study has identified significant deficiencies in existing quantitative risk assessment models for Listeria monocytogenes on produce, such as failure to consider important contamination factors in primary production, among other gaps.

Allergen-related food recalls have increased since the introduction of FDA's Food Safety Modernization Act in 2011. This article shares the fundamentals of conducting an allergen gap assessment to help companies comply with new FDA guidance on allergen management.

As the EU is considering a ban on bisphenol A (BPA) and its analogues in food packaging based on the European Food Safety Authority’s (EFSA’s) recent lowering of its tolerable daily intake (TDI) for the chemical, an international group of academic experts has penned their support for EFSA’s nontraditional risk assessment behind the new BPA TDI, and call on other regulatory agencies around the globe to modernize their risk assessment approaches of endocrine-disrupting chemicals.

Industry 4.0 relies on a group of disruptive technologies to drive insights and speed in decision-making. This article demonstrates the potential benefits that can be created and captured across a food business through thoughtful and deliberate application of Industry 4.0 technologies.

Artificial Intelligence (AI), while offering remarkable advancements in various fields, also presents a paradoxical threat, especially when misused. 

Ignoring psychosocial risks in a food business—including control and support—gives a false sense of security for leaders, who may believe that high external inspection and audit scores mean that the company has a strong food safety system and culture.