Repository of Research and Investigative Information

Repository of Research and Investigative Information

Zabol University of Medical Sciences

Probabilistic risk assessment of exposure to fluoride in most consumed brands of tea in the Middle East

(2018) Probabilistic risk assessment of exposure to fluoride in most consumed brands of tea in the Middle East. Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association. pp. 267-272. ISSN 1873-6351 (Electronic) 0278-6915 (Linking)

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Official URL: http://www.ncbi.nlm.nih.gov/pubmed/29567408

Abstract

The aim of this study was to evaluate the fluoride concentration in seven most consumed brands of tea in the Middle East which was imported to Iran through Zabol County. In the present study, the health risk of exposure to fluoride was estimated using a probabilistic approach. Monte Carlo simulation and sensitivity analysis were applied to quantify uncertainties in risk estimation. The highest mean and 95th percentile of chronic daily intake (CDI) was observed for children group. Iranian tea and Kenya tea had maximum CDI and target hazard quotient (THQ) values among studied brands of tea which followed by Green tea, Taksetare tea, Ceylan tea, Red tea, and White tea. These result indicated that there were significant risks of exposure to fluoride in most of studied brands of tea for children (THQ>1). Sensitivity analysis showed that fluoride concentration and daily intake were the most influential variables in three exposed populations. In conclusion, the fluoride concentration in some studied brands of tea is high and it put children at risk risks of exposure to fluoride.

Item Type: Article
Keywords: Chronic daily intake Fluoride Hazard quotient Monte Carlo simulation Probabilistic risk assessment Tea
Divisions:
Page Range: pp. 267-272
Journal or Publication Title: Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Volume: 115
Identification Number: 10.1016/j.fct.2018.03.023
ISSN: 1873-6351 (Electronic) 0278-6915 (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.zbmu.ac.ir/id/eprint/2807

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