title: Monitoring and probabilistic risk assessment of chlorothalonil residues in vegetables from Shandong province (China).
abstract: The aims of this study were to investigate the contamination status of chlorothalonil pesticide residues in vegetables from Shandong province, and to assess the potential risk of chlorothalonil to consumers based on vegetable consumption and body weight using an improved non-parameter probabilistic model. The results showed that Young children (8 months-6 years old) were more sensitive than General population(above 1year-old). In general, the health risk of chlorothalonil residues to 2 consumer groups via vegetable exposure was low, and the level of residual chlorothalonil was below the Acute Reference Dose (ARfD). This result would provide useful information for re-evaluating pesticides and for revising the chlorothalonil standard in vegetables.
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Nie
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China.
authors.forename: Shuqiu
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China.
authors.forename: Wen Zheng
authors.initials: WZ
authors.lastname: Wang
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China.
authors.forename: Huidong
authors.initials: H
authors.lastname: Li
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China.
authors.forename: Fengen
authors.initials: F
authors.lastname: Wang
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China.
authors.forename: Xiao
authors.initials: X
authors.lastname: Lv
authors.affiliation: Institution of Quality Standard and Testing Technology for Agro-product, Shandong Academy of Agricultural Science Shandong Key Laboratory of Testing Technology for Food Quality and Security, No. 202 Gongye North Road, Jinan 250100, China. Electronic address: CZL7274@163.com.
authors.forename: Zilei
authors.initials: Z
authors.lastname: Chen
mesh_terms: D000367:Age Factors; D001835:Body Weight; D002648:Child; D002675:Child, Preschool; D002681:China; D003257:Consumer Product Safety; D004032:Diet; D004784:Environmental Monitoring / Q000379:methods*; D005506:Food Contamination; D005523:Food Supply; D006801:Humans; D007223:Infant; D015233:Models, Statistical; D009570:Nitriles / Q000009:adverse effects / Q000032:analysis*; D019055:No-Observed-Adverse-Effect Level; D010573:Pesticide Residues / Q000009:adverse effects / Q000032:analysis*; D011336:Probability; D018570:Risk Assessment; D014675:Vegetables / Q000737:chemistry*
chemical_list: D009570:Nitriles; D010573:Pesticide Residues; C005806:tetrachloroisophthalonitrile
keywords: Chlorothalonil; Non-parameter probabilistic model; Residues; Vegetables