Expected Risk as basis for assessment of safe use of chemicals

IF 6 3区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Sciences Europe Pub Date : 2023-03-07 DOI:10.1186/s12302-023-00713-8
Dik van de Meent, Dick de Zwart, Jaap Struijs, Joop L. M. Hermens, Nico M. van Straalen, Klaas H. den Haan, John R. Parsons, Pim de Voogt, Kees van Leeuwen
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Abstract

This paper describes a straightforward modeling procedure to derive ‘expected risk’ (ER) of chemical substances. Starting from proposed use volumes, intended uses, physical and chemical substance properties and toxicity information, the procedure combines multimedia environmental fate modeling with species sensitivity modeling to derive the probability that exposure concentrations exceed critical effect concentrations. The procedure was tested on 1977 so-called mono-constituent organic chemicals that had been registered to be marketed in the EU, after ‘possibility to be used safely’ had been demonstrated by showing that the possible Risk Quotients (RQ) defined as PEC/PNEC ratios (Predicted Exposure Concentration & Predicted No Effect Concentration) were expected to remain below the value of 1, as required by REACH. It appears from this study that (i) RQ and ER of chemicals can be calculated readily, reliably, transparently and reproducibly, that (ii) both RQ and ER can be used to assess whether a new chemical may exceed a chosen acceptability level, but that (iii) in addition ER can be straightforwardly used to rank chemicals according to expected environmental safety. In conclusion, the paper states that modeling ER of chemicals (instead of estimating RQ values), could strengthen the scientific basis of environmental risk assessment for use in REACH. The paper further recommends that more robust environmental risk calculation can be done by using acute EC50, instead of chronic NOEC as critical effect concentration.

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预期风险作为评估化学品安全使用的基础
本文描述了一种直接的建模程序来推导化学物质的“预期风险”(ER)。该程序从建议使用量、预期用途、物理和化学物质性质以及毒性信息出发,将多媒体环境命运建模与物种敏感性建模相结合,得出暴露浓度超过临界效应浓度的概率。该程序在1977年所谓的单成分有机化学品上进行了测试,这些化学品已在欧盟注册上市,在“安全使用的可能性”得到证明后,通过显示可能的风险商(RQ)定义为PEC/PNEC比率(预测暴露浓度&预计无影响浓度)应保持在1以下,这是REACH的要求。从这项研究中可以看出:(i)化学物质的RQ和ER可以容易地、可靠地、透明地和可重复地计算,(ii) RQ和ER都可以用来评估一种新化学物质是否可能超过选定的可接受水平,但(iii)此外,ER可以直接用于根据预期的环境安全性对化学物质进行排名。综上所述,建立化学物质的ER模型(而不是估算RQ值)可以加强REACH中使用的环境风险评估的科学依据。本文进一步建议,可以通过使用急性EC50而不是慢性NOEC作为临界效应浓度来进行更稳健的环境风险计算。
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来源期刊
Environmental Sciences Europe
Environmental Sciences Europe Environmental Science-Pollution
CiteScore
11.20
自引率
1.70%
发文量
110
审稿时长
13 weeks
期刊介绍: ESEU is an international journal, focusing primarily on Europe, with a broad scope covering all aspects of environmental sciences, including the main topic regulation. ESEU will discuss the entanglement between environmental sciences and regulation because, in recent years, there have been misunderstandings and even disagreement between stakeholders in these two areas. ESEU will help to improve the comprehension of issues between environmental sciences and regulation. ESEU will be an outlet from the German-speaking (DACH) countries to Europe and an inlet from Europe to the DACH countries regarding environmental sciences and regulation. Moreover, ESEU will facilitate the exchange of ideas and interaction between Europe and the DACH countries regarding environmental regulatory issues. Although Europe is at the center of ESEU, the journal will not exclude the rest of the world, because regulatory issues pertaining to environmental sciences can be fully seen only from a global perspective.
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