In the first part of our article principles of the point and probabilistic estimation of customer exposure were described. Individual crop weight distribution data and their characteristic properties, necessary for performing more accurate calculations, were also published. In the current work, mathematical relationships used for the calculation of „refined” probabilistic exposure estimation are described, which can uniformly take into consideration the raw material proportions of complex foods, the effect of processing operations on the pesticide residue concentrations in the raw product, the pesticide residue concentration in the portion of produce to be consumed, and also the different pesticide residue concentrations in the individual crops. Based on the determination of pesticide residues in nearly 20000 individual crops, by applying the experimental data obtained in different produce groups, it is possible to determine customer exposure more accurately than using values taken by random sampling from parametric functions fitted on the basis of a limited number of results, which can approximate the real distribution only with substantial error. In order to facilitate more accurate estimation, individual variability factors and values characteristic of the main produce groups are published.
|Number of pages||48|
|Publication status||Published - Dec 31 2015|
ASJC Scopus subject areas
- Food Science