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Jang, Moon, Kim, Yuk, Kim, and Park: Dietary Risk Assessment for Pesticide Residues of Vegetables in Seoul, Korea
Research Article
Korean Journal of Nutrition

Korean Journal of Nutrition 2010; 43(4): 404-412.

Published online: 31 August 2010

DOI: https://doi.org/10.4163/kjn.2010.43.4.404

Dietary Risk Assessment for Pesticide Residues of Vegetables in Seoul, Korea

Mira Jang1, Hyunkyung Moon2, Taerang Kim1, Donghyun Yuk1, Junghun Kim1, Seoggee Park1

1Gangnam Agro-marin Products Inspection Center, Seoul Metropolitan Government Research Institute of Public Health and Environment, Seoul 138-701, Korea.

2Department of Food Science & Nutrition, Dankook University, Yongin 448-701, Korea.

To whom correspondence should be addressed. (jangmr@seoul.go.kr)

Received 10 June 2010       Revised 22 June 2010       Accepted 24 June 2010

© 2010 The Korean Nutrition Society

Abstract

This paper specifically discusses the risk assessment on the pesticide residues in vegetables collected from traditional markets, big marts and departments in the southern part of Seoul. Vegetable samples were 6,583 cases from January to December in 2009. Monte-Carlo simulation was used to calculate the uncertainty for the risk index using pesticide residues, average dietary intake for vegetables and acceptable daily intake. Deterministic risk indexes were 7.33% of diethofencarb, 5.13% of indoxacarb, 3.96% of EPN, 3.92% of diniconazole and 3.09% of chlorothalonil, respectively. And other pesticides were below 3%. Distributions of risk indexes obtained by the Monte-Carlo simulations were similar to the deterministic values, even though the confidence intervals for 95% were very wide. We confirmed that health risks caused by eating vegetables exceeded maximum residue limits of pesticide are very low and the population is generally safe, judging from the risk indexes located between 0.07 to 9.49%.

Keywords: pesticide residues, dietary risk assessment, vegetables

Figures and Tables

Fig. 1
Frequency and probability density function for measured perilla leaves data.
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Fig. 2
Uncertainty analysis for endosulfan using Monte Carlo simulation.
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Table 1
Analyzed pesticides in vegetables
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Table 2
GC-NPD and GC-µECD conditions used in the determination of the residual pesticides
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Table 3
GC-MSD conditions used in the determination of the residual pesticides
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Table 4
HPLC-UV conditions used in the determination of the residual pesticides
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Table 5
ADIs of pesticides from chronic dietary exposure
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1) Japan, 2) EU, 3) CODEX

Table 6
Vegetables violated Maximum Residue Limits (MRLs) for pesticides
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Table 7
Residual pesticides violated Maximum Residue Limits (MRLs)
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Table 8
Ranking distributions for selecting probability density function of endosulfan in perilla leaves
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1) can be considered as the first

Table 9
Comparison between deterministic and stochastic results for the risk index
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Notes

This work was supported by Seoul Metropolitan Government Research Institute of Public Health and Environment.

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