Bayesian-Based Probabilistic Risk Assessment of Fipronil in Food: A Case Study in Taiwan

Luo, YS

HERO ID

12033173

Reference Type

Journal Article

Year

2023

Language

English

PMID

37624182

HERO ID 12033173
In Press No
Year 2023
Title Bayesian-Based Probabilistic Risk Assessment of Fipronil in Food: A Case Study in Taiwan
Authors Luo, YS
Journal Toxics
Volume 11
Issue 8
Abstract Fipronil, a broad-spectrum insecticide, is widely used in agriculture and veterinary practices. Fipronil-induced neurotoxicity and potential adverse effects on humans and aquatic organisms have raised health concerns. Monitoring programs have been implemented globally to assess fipronil residues in food, including fruits, vegetables, and animal products. However, previous exposure assessments have often focused on specific food categories or subsets of items, resulting in limited insights into the overall health risks. Additionally, the large number of non-detect fipronil residues in food has introduced uncertainties in exposure assessment. To address these issues, a probabilistic exposure assessment and dose-response analysis were adopted in this study, considering the sample distribution below the detection limit to better characterize uncertainties and population variability in health risk assessments. The estimated fipronil exposure to the general public ranges from 6.38 x 10(-6) +/- 0.00017 mg/kg/day to 9.83 x 10(-6) +/- 0.00034 mg/kg/day. Only one out of 200,000 simulated individuals had a fipronil dose exceeding the probabilistic reference dose (0.048 mg/kg/day, pRfD), which aims to protect 99% of the population with effects less than 10% extra risk. By incorporating uncertainties in exposure and dose-response data, a more comprehensive understanding of the health risks associated with fipronil exposure in the Taiwanese population has been achieved.
Doi 10.3390/toxics11080677
Pmid 37624182
Wosid WOS:001055844600001
Url https://www.ncbi.nlm.nih.gov/pubmed/37624182
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
Keyword Bayesian benchmark dose (BBMD); Markov Chain Monte Carlo simulation (MCMC); exposure assessment; fipronil; health risk assessment