date:Aug 16, 2023
eness of sampling plans specific to their plants, says the studys lead author Minho Kim, a doctoral student at the Department of Food Science and Human Nutrition.
With this knowledge, producers can proactively address risks and optimize current sampling practices.
The researchers note systematic and stratified random sampling patterns could be implemented by autosampling, which usually occurs right before the packaging in a processing line. They add that this should be combined with end-produ