Researchers have developed a 3D-printed, microfluidic chip sensor that uses light to rapidly detect important foodborne pathogens at concentrations as low as 10 CFU/ml.
A recent study has found the ubiquitous presence of tire-derived compounds in leafy greens samples grown in four European countries, indicating that chemicals in tires and roads are taken up by crops.
A recent study provided insight into the on-farm hygiene characteristics that affect the contamination of milk produced at informal dairy farms in Zimbabwe. The risk variables identified in the study can serve as a foundation for microbial contamination prevention strategies for the sector.
Researchers recently conducted sampling and analysis of common vegetable oils from Italy and Spain, packaged in both glass and plastic bottles, to determine the presence of microplastics. Microplastics were found in every sample tested, regardless of packaging.
A recent evaluation of the UK post-harvest seafood supply chain has pinpointed factors that leave the nation’s seafood supply vulnerable to food fraud, with third-party certification identified as the most important factor associated with a company’s level of defense against food crime.
Researchers from Purdue
University have developed a new biosensor-based rapid test that can detect fecal contamination of produce in-field with 90–100 percent accuracy.
A recent study of canned tuna packed in oil and sold in Europe revealed toxic chemicals bisphenol A (BPA) and/or glycidol in all of the analyzed tuna products. Mercury and 3-MCPD were not found at levels high enough to cause concern.
Researchers from Tulane University assessed the levels and risks of
toxic metals in chocolates sold in the U.S., made from beans originating
from different global regions.
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.
