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As a nonprofit association, ENFIT has developed several guidelines to ensure a safe supply chain, including the HQF Certification Scheme (for the certification of transport cleaning stations) and Transport Hygiene Risk Analysis (THR Analysis). 

This article discusses the quantification of risk associated with changes in enterohemorrhagic E. coli (EHEC) physiology during post-harvest pre-processing of leafy greens.

This article discusses Taylor Fresh Foods'/Taylor Farms' efforts, learnings, and progress on its food safety journey toward FSMA 204 compliance. 

Many raw foods pose a higher risk of contamination compared to their cooked or processed counterparts. Consumers making choices in pursuit of health and wellness deserve full transparency about both the risks and benefits of these foods.

Calibration is really a verification activity. The goal of a calibration program is to ensure that all instruments used to monitor food safety, quality, and issues related to regulatory compliance have been properly calibrated and are operating effectively.

If FDA's regulatory decision-making should be based on science, but the Delaney Clause prohibits FDA from considering the totality of the available scientific evidence in making safety determinations for food and color additives, can the Delaney Clause and science-based decision making coexist?

Escherichia coli O157:H7 (EHEC) infections can occur after eating contaminated food, such as meat that has not been properly cooked or contaminated vegetables. The illness can lead to kidney failure via hemolytic uremic syndrome, and conventional antibiotic therapy can worsen the severity of the infection.

Recent research commissioned by Food Allergy Canada identifies untapped opportunities for foodservice businesses to grow their market share by addressing the concerns of consumers with food allergies. Food safety leaders have a key role to play, leveraging their expertise to foster trust and transform food-allergic consumers into loyal customers.  

Classical approaches to environmental monitoring through "seek-and-destroy," while useful, can be enhanced with source tracking approaches applied in food production facilities. Such approaches have great potential to enhance food safety. However, these methods will look different when applied by academia and government, in contrast to the approaches recommended for industry. 

Predictive models help inform decision-making, and can also serve as documentation toward customers, regulators, and third-party auditors. This article examines DMRI Predict, a collection of predictive models that can be used to assess food safety and spoilage (both microbiological and sensory) of meat and meat products.