Tag: Food safety sampling

Simulation Evaluation of Power of Sampling Plans to Detect Cronobacter in Powdered Infant Formula Production

Posted on by cecilwb2@illinois.edu

Highlights Abstract Cronobacter is a hazard in Powdered Infant Formula (PIF) products that is hard to detect due to localized and low-level contamination. We adapted a previously published sampling simulation to PIF sampling and benchmarked industry-relevant sampling plans across different numbers of grabs, total sample mass, and sampling patterns. We evaluated performance to detect published Cronobacter contamination profiles […]

A Validated Preharvest Sampling Simulation Shows that Sampling Plans with a Larger Number of Randomly Located Samples Perform Better than Typical Sampling Plans in Detecting Representative Point-Source and Widespread Hazards in Leafy Green Fields

Posted on by gareyes3@illinois.edu

Abstract Commercial leafy greens customers often require a negative preharvest pathogen test, typically by compositing 60 produce sample grabs of 150 to 375 g total mass from lots of various acreages. This study developed a preharvest sampling Monte Carlo simulation, validated it against literature and experimental trials, and used it to suggest improvements to sampling […]

Perspective: Challenges with product testing in powdered infant formula

Posted on by cecilwb2@illinois.edu

Abstract Right now, many concerned parents are probably thinking, how could Cronobacter sakazakii get through the powdered infant formula (PIF) production system? Shouldn’t a food safety monitoring system find such a serious problem? Aren’t those products tested before arriving on shelves? And the very challenging answer is yes, these products were likely tested with a standardized sampling and […]