The 2011 workshop discussions presented a variety of perspectives, which resulted from the wide range of backgrounds and experience that the participants encompassed. It became clear that incorporation of as many of these perspectives as possible at the early stages of technology development and risk assessment research would minimize surprises and unintended consequences in future years when the technologies were closer to deployment. Often the cross-disciplinary expertise suggested approaches that may need the R&D needs without sacrificing necessary control of intellectual property or other concerns. For example, solvent developers may be reluctant to provide detailed information on their process, compilation, or emissions in part because at this stage of commercialization the technology is continually being optimized, and there may be a concern that data are premature. However, the research community can significantly advance the science even in the absence of proprietary information. For example, working with known solvents, e.g., MEA, in both laboratory-scale experiments as well as pilot facilities, can generate data applicable to other solvents and processes. Indeed, the use of Quantitative Structure-Activity Relationships (QSARs) - a process by which chemical structure is quantitatively correlated with biological activity - was widely discussed as a potentially effective approach to evaluate the toxicity of amine degradation products.
The 2011 workshop discussions presented a variety of perspectives, which resulted from the wide range of backgrounds and experience that the participants encompassed. It became clear that incorporation of as many of these perspectives as possible at the early stages of technology development and risk assessment research would minimize surprises and unintended consequences in future years when the technologies were closer to deployment. Often the cross-disciplinary expertise suggested approaches that may need the R&D needs without sacrificing necessary control of intellectual property or other concerns. For example, solvent developers may be reluctant to provide detailed information on their process, compilation, or emissions in part because at this stage of commercialization the technology is continually being optimized, and there may be a concern that data are premature. However, the research community can significantly advance the science even in the absence of proprietary information. For example, working with known solvents, e.g., MEA, in both laboratory-scale experiments as well as pilot facilities, can generate data applicable to other solvents and processes. Indeed, the use of Quantitative Structure-Activity Relationships (QSARs) - a process by which chemical structure is quantitatively correlated with biological activity - was widely discussed as a potentially effective approach to evaluate the toxicity of amine degradation products.
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