PMID- 29747101 OWN - NLM STAT- MEDLINE DCOM- 20181029 LR - 20181029 IS - 1095-8630 (Electronic) IS - 0301-4797 (Linking) VI - 219 DP - 2018 Aug 1 TI - Evaluation of regulatory variation and theoretical health risk for pesticide maximum residue limits in food. PG - 153-167 LID - S0301-4797(18)30449-3 [pii] LID - 10.1016/j.jenvman.2018.04.067 [doi] AB - To evaluate whether pesticide maximum residue limits (MRLs) can protect public health, a deterministic dietary risk assessment of maximum pesticide legal exposure was conducted to convert global MRLs to theoretical maximum dose intake (TMDI) values by estimating the average food intake rate and human body weight for each country. A total of 114 nations (58% of the total nations in the world) and two international organizations, including the European Union (EU) and Codex (WHO) have regulated at least one of the most currently used pesticides in at least one of the most consumed agricultural commodities. In this study, 14 of the most commonly used pesticides and 12 of the most commonly consumed agricultural commodities were identified and selected for analysis. A health risk analysis indicated that nearly 30% of the computed pesticide TMDI values were greater than the acceptable daily intake (ADI) values; however, many nations lack common pesticide MRLs in many commonly consumed foods and other human exposure pathways, such as soil, water, and air were not considered. Normality tests of the TMDI values set indicated that all distributions had a right skewness due to large TMDI clusters at the low end of the distribution, which were caused by some strict pesticide MRLs regulated by the EU (normally a default MRL of 0.01 mg/kg when essential data are missing). The Box-Cox transformation and optimal lambda (lambda) were applied to these TMDI distributions, and normality tests of the transformed data set indicated that the power transformed TMDI values of at least eight pesticides presented a normal distribution. It was concluded that unifying strict pesticide MRLs by nations worldwide could significantly skew the distribution of TMDI values to the right, lower the legal exposure to pesticide, and effectively control human health risks. CI - Copyright (c) 2018 Elsevier Ltd. All rights reserved. FAU - Li, Zijian AU - Li Z AD - Department of Civil Engineering, Case Western Reserve University, Cleveland, OH 44106, USA; Parsons Corporation, Chicago, IL 60606, USA. Electronic address: zxl170@case.edu. LA - eng PT - Journal Article DEP - 20180507 PL - England TA - J Environ Manage JT - Journal of environmental management JID - 0401664 RN - 0 (Pesticide Residues) RN - 0 (Pesticides) SB - IM MH - Food MH - *Food Contamination MH - Humans MH - *Pesticide Residues MH - Pesticides MH - *Risk OTO - NOTNLM OT - Good agricultural practice OT - Human health risk assessment OT - Maximum residue limit (MRL) OT - Pesticide OT - Public health EDAT- 2018/05/11 06:00 MHDA- 2018/10/30 06:00 CRDT- 2018/05/11 06:00 PHST- 2017/12/20 00:00 [received] PHST- 2018/02/24 00:00 [revised] PHST- 2018/04/15 00:00 [accepted] PHST- 2018/05/11 06:00 [pubmed] PHST- 2018/10/30 06:00 [medline] PHST- 2018/05/11 06:00 [entrez] AID - S0301-4797(18)30449-3 [pii] AID - 10.1016/j.jenvman.2018.04.067 [doi] PST - ppublish SO - J Environ Manage. 2018 Aug 1;219:153-167. doi: 10.1016/j.jenvman.2018.04.067. Epub 2018 May 7.