Variability of Pesticide Residues in Vegetables from the Marketplaces in Jinan City

doi:10.1016/S1671-2927(11)60163-6

Journal of Integrative Agriculture ›› 2011, Vol. 10 ›› Issue (10): 1646-1652.DOI: 10.1016/S1671-2927(11)60163-6

• 论文 • 上一篇

Variability of Pesticide Residues in Vegetables from the Marketplaces in Jinan City

SONG Yu-feng, LU Xiao, REN Feng-shan

1.Central Laboratory of Shandong Academy of Agricultural Sciences/Key Laboratory of Test Technology on Food Quality and Safety of Shandong Province
2.Institute of Agricultural Quality Standards and Testing Technology, Shandong Academy of Agricultural Sciences

出版日期:2011-10-01 发布日期:2011-10-18
通讯作者: Correspondence LU Xiao, Professor, Ph D, Tel: +86-531-83179145, E-mail:luxiao5@163.com
作者简介:SONG Yu-feng, Ph D, Tel: +86-531-89701986, E-mail: yusong2007@gmail.com
基金资助:
The financial supports received from the National Key Technology R&D Program in the 11th Five-Year Plan of China (2006BAK02A04-06) and Technological Innovation Fund of the Shandong Academy of Agricultural Sciences (2006ycx034) are gratefully acknowledged.

Variability of Pesticide Residues in Vegetables from the Marketplaces in Jinan City

SONG Yu-feng, LU Xiao, REN Feng-shan

1.Central Laboratory of Shandong Academy of Agricultural Sciences/Key Laboratory of Test Technology on Food Quality and Safety of Shandong Province
2.Institute of Agricultural Quality Standards and Testing Technology, Shandong Academy of Agricultural Sciences

Online:2011-10-01 Published:2011-10-18
Contact: Correspondence LU Xiao, Professor, Ph D, Tel: +86-531-83179145, E-mail:luxiao5@163.com
About author:SONG Yu-feng, Ph D, Tel: +86-531-89701986, E-mail: yusong2007@gmail.com
Supported by:
The financial supports received from the National Key Technology R&D Program in the 11th Five-Year Plan of China (2006BAK02A04-06) and Technological Innovation Fund of the Shandong Academy of Agricultural Sciences (2006ycx034) are gratefully acknowledged.

摘要/Abstract

摘要： In order to provide technological support for risk estimation of pesticide residues taken from vegetables, the residues of pesticide in vegetables in Jinan City, China, were investigated. Moreover, the variability of pesticide residues in vegetables was explored, and the variability factor was calculated. The level of pesticide residue was studied by statistical method. The variability factor was calculated using the Harrell-Davis method in accordance with principles recommended by the JMPR. In addition, the procedure of evaluation was validated according to the principles laid down by the JMPR (Joint Meeting on Pesticide Residues). The detection rate of pesticide residues in all marketplace samples was less than 20% in Jinan City. The unqualified rate of vegetables was low (0.6%). The chlorothalonil was found as the pesticide with the highest rate of detection. The vegetables with the highest rate of pesticide residues detected were leafy vegetables. The relationship between variability factor and mean value of concentrations of contaminations was expressed by the formula, v=4.9×Cmean. The pesticide residues in vegetables from Jinan City is low. The evaluated variability factor is larger than that the value recommended by the JMPR, however, less than the default value used for acute intake assessment of pesticide residues in UK in most cases.

关键词:

variability, variability factor, risk assessment, pesticide residues

Abstract: In order to provide technological support for risk estimation of pesticide residues taken from vegetables, the residues of pesticide in vegetables in Jinan City, China, were investigated. Moreover, the variability of pesticide residues in vegetables was explored, and the variability factor was calculated. The level of pesticide residue was studied by statistical method. The variability factor was calculated using the Harrell-Davis method in accordance with principles recommended by the JMPR. In addition, the procedure of evaluation was validated according to the principles laid down by the JMPR (Joint Meeting on Pesticide Residues). The detection rate of pesticide residues in all marketplace samples was less than 20% in Jinan City. The unqualified rate of vegetables was low (0.6%). The chlorothalonil was found as the pesticide with the highest rate of detection. The vegetables with the highest rate of pesticide residues detected were leafy vegetables. The relationship between variability factor and mean value of concentrations of contaminations was expressed by the formula, v=4.9×Cmean. The pesticide residues in vegetables from Jinan City is low. The evaluated variability factor is larger than that the value recommended by the JMPR, however, less than the default value used for acute intake assessment of pesticide residues in UK in most cases.

Key words:

variability, variability factor, risk assessment, pesticide residues

SONG Yu-feng, LU Xiao, REN Feng-shan. Variability of Pesticide Residues in Vegetables from the Marketplaces in Jinan City[J]. Journal of Integrative Agriculture, 2011, 10(10): 1646-1652.

参考文献

[1]Adrian J T. 2008. Pesticide residues in food-quantifying risk and protecting the consumer. Trends in Food Science & Technology, 19, S49-S55. Ámbrus Á. 2000. Within and between field variability of residue data and sampling implications. Food Additives and Contaminants, 17, 519-537.

[2]Ámbrus Á. 2006. Variability of pesticide residues in crop units. Pest Management Science, 62, 693-714.

[3]Caldas E, Jardim A, Ámbrus Á, Souza L C. 2006. Variability of organophosphorus insecticide residues in large size crops grown in commercial farms in Brazil. Food Additives and Contaminants, 23, 148-158.

[4]Commission of the European Communities. 2007. Commission Staff Working Document Part I. Monitoring of Pesticide Residues in Products of Plant Origin in the European Union. Norway, Iceland and Liechtenstein. Brussels. Earl M, Kaethner M, Uihlein M. 2000. Unit to unit variation of pesticide residues options for acute dietary risk assessment. Food Additives and Contaminants (Part A), 17, 583-589.

[5]EFSA. 2005. Opinion of the scientific panel on plant health, plant protection products and their residues on a request from the commission related to the appropriate variability factor(s) to be used for acute dietary exposure assessment of pesticide residues in fruit and vegetables. The EFSA Journal, 177, 1-61.

[6]EFSA. 2007. Opinion of the scientific panel on plant protection products and their residues on a request from the Commission on acute dietary intake assessment of pesticide residues in fruit and vegetables. The EFSA Journal, 538, 1-88.

[7]FAO/WHO. 1995. Application of risk analysis to food standards issues. In: Report of the Joint FAO/WHO Expert Consultation. WHO/FNU/ FOS/95. 3, Geneva, Switzerland.

[8]FAO/WHO. 2002. Pesticide residues in food-2002. In: Report of the Joint Meeting of the FAO Panel of Experts on Pesticide Residues in Food and the Environment and the WHO Core Assessment Group on Pesticide Residues. Rome, Italy.

[9]FAO/WHO. 2003. Pesticide residues in food-2003. In: Report of the Joint Meeting of the FAO Panel of Experts on Pesticide Residues in Food and the Environment and the WHO Core Assessment Group on Pesticide Residues. Rome, Italy.

[10]FAO/WHO. 2005. Pesticide residues in food-2005. In: Report of the Joint Meeting of the FAO Panel of Experts on Pesticide Residues in Food and the Environment and the WHO Core Assessment Group on Pesticide Residues. Rome, Italy.

[11]FAO/WHO. 2009. Establishment of Codex Priority Lists of Pesticides. Codex Committee on Pesticide Residues, 41th session. Joint FAO/WHO Food Standards Programme.

[12]Gao R J, Chen L Z, Zhang W J. 2007. Review on pesticide residues acute dietary risk assessment. Food Science, 28, 363-368. (in Chinese)

[13]Goldman L R, Beller M, Jackson R J. 1990. Aldicarb food poisonings in California, 1985-1988: toxicity estimates for humans. Archives of Environmental Health, 45, 141-147.

[14]Hamilton D J, Ámbrus Á, Dieterle R M, Felsot A, Harris C, Petersen B, Racke K, Wong S, Gonzalez R, Tanaka K, et al. 2004. Pesticide residues in food-acute dietary exposure. Pest Management Science, 60, 311-319.

[15]Hill A R, Reynolds S L. 2002. Unit-to-unit variability of pesticide residues in fruit and vegetables. Food Additives and Contaminants, 19, 733-747.

[16]JMPR. 2005. Estimation of variability factor for the use for calculation of short term intake. In: Pesticide Residues in Food-2005. Report of the Joint Meeting of the FAO Panel of Experts on Pesticide Residues in Food and the Environment and the WHO Core Assessment Group on Pesticide Residues. Rome, Italy.

[17]Liu Y Q, Li Y P, Liang W H, Dong D C, Gu X L. 2008. Current situation and its enlightenment of pesticide residues of agricultural products in developed countries. Problems of Agricultural Economy, 4, 106-109. (in Chinese)

[18]MAFF. 1993. Annual Report of the Working Party on Pesticide Residues, 1992, Supplement to the Pesticides Register. HMSCO, London, UK.

[19]PRC. 2008. Pesticide Residues Monitoring Report. Fourth Quarter Report. National Knowledge Commission Government of India.

[20]PSD. 2009. UK Consumer Intake Models. http://www.pesticides. gov.uk/approvals.asp?id=1687

[21]Saunders S, Petersen B. 1986. Introduction to the Tolerance Assessment System. US Environmental Protection Agency.

[22]UK-PAN. 2005. The Alternative Pesticide Residues Report-2005. Pesticide Action Network UK. [2009-03-20]. http://www. pan-uk.org/archive/Projects/Food/alternativereport.pdf

[23]WHO. 1997a. Guidelines for Predicting Dietary Intake of Pesticide Residues. WHO/FSF/FOS/97. 7.

[24]WHO. 1997b. Joint FAO/WHO Consultation on Food Consumption and Exposure Assessment of Chemicals. Geneva, Switzerland.

[25]WHO. 2008a. Acceptable daily intakes, acute reference doses, short-term and long-term dietary intakes, recommended maximum residue limits and supervised trials median residue values recorded by the 2008 meeting. In: Joint FAO/WHO Meeting on Pesticide Residues Summary Report. Rome, Italy.

[26]WHO. 2008b. Principles and Methods for the Risk Assessment of Chemicals in Food - Chapter 6: Dietary Exposure Assessment of Chemicals in Food. Food and Agriculture Organization of the United Nations and the World Health Organization.

[27]Xu X M, Huo R, Salazar J D, Hyder K. 2008. Investigating factors affecting unit-to-unit variability in non-systemic pesticide residues by stochastic simulation modeling. Human and Ecological Risk Assessment, 14, 992-1006.

Variability of Pesticide Residues in Vegetables from the Marketplaces in Jinan City

Variability of Pesticide Residues in Vegetables from the Marketplaces in Jinan City

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