Safety and Environmental Assurance Centre, Unilever, Colworth Science Park, Sharnbrook, Bedfordshire MK44 1LQ, UK.
Environ Pollut. 2012 Jun;165:208-14. doi: 10.1016/j.envpol.2011.12.030. Epub 2012 Jan 20.
China represents a significant market for the sale of personal care products (PCPs). Given the continuous emission of hundreds of chemicals used in PCPs to waste water and the aquatic environment after regular use, methods for prioritising the environmental risk assessment for China are needed. In an effort to assess the prioritisation of chemicals used in PCPs in China, we have identified the chemical ingredients used in 2500 PCPs released to the Chinese market in 2009, and estimated the annual emission of these chemicals. The physical-chemical property data for these substances have been estimated and used as model inputs in the RAIDAR model. In general, the RAIDAR model provides an overall assessment of the multimedia fate of chemicals, and provides a holistic approach for prioritising chemical ingredients. The prioritisation exercise conducted in this study is shown to be strongly influenced by loss processes, such as the removal efficiencies of WWT plants and biotransformation.
中国是个人用护理品（PCPs）销售的重要市场。考虑到数百种用于 PCP 的化学品在日常使用后被排放到废水和水生环境中，需要为中国的环境风险评估确定优先顺序的方法。为了评估在中国 PCP 中使用的化学品的优先顺序，我们确定了 2009 年在中国市场发布的 2500 种 PCP 中使用的化学成分，并估计了这些化学品的年排放量。这些物质的物理化学性质数据已被估算，并用作 RAIDAR 模型的模型输入。一般来说，RAIDAR 模型提供了对化学品多介质命运的总体评估，并为优先考虑化学物质成分提供了整体方法。本研究进行的优先排序工作受到损失过程的强烈影响，例如污水处理厂和生物转化的去除效率。
