Deterministic and probabilistic risk of strawberry consumption with pesticide residues

Abstract

Repeated presence of strawberries amongst produce with pesticide residues results in questionings related to the risks involved by its consumption. Deterministic and probabilistic risk assessment methods might be used depending on the available data. In the present study, both methods were used to estimate risks of pesticide intake by strawberry consumption. Strawberry samples along two years were analyzed via the multiresidue method. Results of active ingredients (a.i.) concentrations were organized and used for calculations for intake estimates. On the deterministic method, intake was calculated based on the data of a.i. concentration and consumption data coming from an online questionnaire and body weight between 5 and 70 kg. On the probabilistic method, the concentrations of a.i. and body weight of 60 kg were evaluated in two scenarios: a) consumption data from an online questionnaire or b) consumption data retrieved from Family Budget Survey of the Brazilian Institute of Geography and Statistics. In the 62 strawberry samples, 38 a.i. were quantified and in 25 samples the residue analyses were considered satisfactory and 37 had an unsatisfactory outcome. In the deterministic approach, 23% of the a.i. had a calculated intake higher than the acceptable daily intake (ADI) and risk concentrated in body weights between 5 and 30 kg. The risk is low when considering a body weight of 60 kg. All a.i. tested in the first scenario of the probabilistic method pointed towards some possibility of intake being higher than the ADI. In the second scenario, only the a.i. procymidone exceeded the ADI.