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Perchlorate contamination of tea leaves and a corresponding probabilistic dietary risk assessment using Monte Carlo simulation.

Authors :
Yao, Qinghua
Yan, Sun-an
Liu, Wenjing
Huang, Minmin
Lin, Qiu
Source :
Food Additives & Contaminants. Part A: Chemistry, Analysis, Control, Exposure & Risk Assessment. Feb 2022, Vol. 39 Issue 2, p341-350. 10p. 2 Charts, 3 Graphs, 1 Map.
Publication Year :
2022

Abstract

Perchlorate is known as a thyroid disrupter. Its contamination in various tea samples was monitored, and 286 samples belonging to four types of tea leaves were analysed. The detection rate of perchlorate in tea was 99.3%. The mean concentration in different tea types decreased in order from green tea, oolong tea, white tea to black tea. A probabilistic approach was performed to evaluate the dietary exposure of perchlorate for six different subpopulations. The daily intakes (EDIs) for consumers over the age of 41 were higher than that of other subpopulations. The hazard quotient for six groups was lower than 1 even at the extreme percentile (P99). It indicates that the risk of dietary exposure to perchlorate from tea consumption for Fujian people is acceptable without considering other foodstuffs. However, the high occurrence of perchlorate in tea samples suggested that the actual source of this contaminant should be further investigated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19440049
Volume :
39
Issue :
2
Database :
Academic Search Index
Journal :
Food Additives & Contaminants. Part A: Chemistry, Analysis, Control, Exposure & Risk Assessment
Publication Type :
Academic Journal
Accession number :
155083537
Full Text :
https://doi.org/10.1080/19440049.2021.2005262