The role of data source selection in chemical hazard assessment: A case study on organic photovoltaics

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 (R) 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.