Search results - 5 results
COMBINATION OF CHEMOMETRICS AND MULTIDIMENSIONAL FINGERPRINTING FOR DETECTION OF REGULATED PLANTS IN PLANT FOOD SUPPLEMENTS
square – discriminate analysis. A minimum of 86% correct classification rate for external test set validation (17 sample for binary dataset and 59 samples for multiclass dataset) was observed for all ...
Advances in the physicochemical characterization of nanoparticles in a regulatory context.
STEM- EDX analyses for control purposes requiring identification and measurement of specific particles in complex food matrices and mixtures will be presented. Further, approaches to validate these ...
Shotgun metagenomics as a ONE Health tool for better protecting human health
conventional methods in e.g. the field of pathogen detection/characterization along the food chain, starting from the food production environment (including detection of AMR genes) until foodborne outbreak ...
Validation of single particle ICP-MS for routine sizing and quantification of the fraction of silver nanoparticles in E174 food addititves and confectionery products
counting particles at the same time. A spICP- MS method was developed and validated for sizing and quantifying the fraction of silver nanoparticles in E174 food additives and in products containing E174. The ...
Open Lab Application for the Characterization of Nanomaterials by Transmission Electron Microscopy
specific needs such as food and food contact materials, biocidal products, cosmetics and medical devices. As a consequence there is a growing need for validated characterization methods and for certified ...