Department of Materials Science and Engineering, University of California, Irvine, 916 Engineering Tower, Irvine, CA 92697, USA.
Department of Materials Science and Engineering, University of California, Davis, 3001 Ghausi Hall, 1 Shields Avenue, Davis, CA 95616, USA.
J Hazard Mater. 2019 Mar 5;365:227-236. doi: 10.1016/j.jhazmat.2018.10.062. Epub 2018 Oct 25.
Chemical hazard assessment (CHA), designed to evaluate the inherent hazard of chemicals used in everyday consumer products, is gaining in popularity and rigor. Although CHA is being more commonly used by industry and government organizations, there is limited information in the academic literature on the merits and limitations of CHA methods. In the current study, the significance of the need to use multiple data sources to successfully complete a CHA is explored. Specifically, a case study approach is used in which more than one hundred organic substances used in the synthesis of organic solar cells are evaluated using the GreenScreen® for Safer Chemicals framework as the basis for the CHA. Seven data sources, including three chemical-oriented, two hazard-trait-oriented, and two predictive data sources, are utilized to minimize data gaps and allow for complete assessments for most of the chemicals of interest. Findings from sensitivity analysis using single data sources and combinations of data sources highlight that the CHA outcomes can vary considerably as a function of data sources used, which highlights the importance of identifying and/or creating more comprehensive and standardized data sources.
化学危害评估（CHA）旨在评估日常消费产品中使用的化学品的固有危害，其应用日益普及，方法也日趋严谨。虽然行业和政府组织越来越多地使用 CHA，但学术文献中关于 CHA 方法的优点和局限性的信息有限。在当前的研究中，探讨了成功完成 CHA 需要使用多种数据源的重要性。具体来说，采用案例研究方法，使用 GreenScreen® for Safer Chemicals 框架作为 CHA 的基础，对用于有机太阳能电池合成的一百多种有机物质进行评估。利用了七种数据源，包括三种化学导向型、两种危害特征导向型和两种预测型数据源，以最小化数据差距，并允许对大多数有评估意向的化学品进行全面评估。使用单一数据源和数据源组合进行敏感性分析的结果表明，CHA 的结果会根据使用的数据源而有很大差异，这突出了确定和/或创建更全面和标准化数据源的重要性。
