Straub Jürg Oliver, Shearer Russel, Studer Martin
F. Hoffmann-La Roche, Basel, Switzerland.
Environ Toxicol Chem. 2014 Sep;33(9):2140-6. doi: 10.1002/etc.2660. Epub 2014 Aug 1.
The biotechnological production of pharmaceutical active substances needs ancillary substances. Surfactants are used at the end of the cell culture as a protection against potential viral or bacterial contamination and to lyse the producing cells for isolation and purification of the products. To find a replacement for a surfactant that had raised environmental concern, environmentally relevant data for potential alternatives were searched for in the literature. Significant data gaps were filled with additional tests: biodegradability, algal growth inhibition, acute daphnid immobilization and chronic daphnid reproduction toxicity, acute fish toxicity, and activated sludge respiration inhibition. The results were used to model removal in the wastewater treatment plants (WWTPs) serving 3 biotechnological production sites in the Roche Group. Predicted environmental concentrations (PECs) were calculated using realistic amounts of surfactants and site-specific wastewater fluxes, modeled removals for the WWTPs and dilution factors by the respective receiving waters. Predicted no-effect concentrations (PNECs) were derived for WWTPs and for both fresh and marine receiving waters as the treated wastewater of 1 production site is discharged into a coastal water. This resulted in a spreadsheet showing PECs, PNECs, and PEC ÷ PNEC risk characterization ratios for the WWTPs and receiving waters for all investigated surfactants and all 3 sites. This spreadsheet now serves as a selection support for the biotechnological developers. This risk-based prioritization of surfactants is a step toward green biotechnological production.
药用活性物质的生物技术生产需要辅助物质。表面活性剂在细胞培养结束时使用,以防止潜在的病毒或细菌污染,并裂解生产细胞以分离和纯化产品。为了找到一种替代引起环境关注的表面活性剂,在文献中搜索了潜在替代品的环境相关数据。通过额外的测试填补了重大的数据空白:生物降解性、藻类生长抑制、大型溞急性固定和大型溞慢性繁殖毒性、鱼类急性毒性以及活性污泥呼吸抑制。结果用于模拟罗氏集团3个生物技术生产基地的污水处理厂(WWTPs)中的去除情况。使用实际数量的表面活性剂、特定场地的废水流量、模拟的污水处理厂去除率以及相应受纳水体的稀释因子来计算预测环境浓度(PEC)。由于1个生产基地的处理后废水排入沿海水体,因此得出了污水处理厂以及淡水和海洋受纳水体的预测无效应浓度(PNEC)。这产生了一个电子表格,显示了所有调查的表面活性剂以及所有3个场地的污水处理厂和受纳水体的PEC、PNEC以及PEC÷PNEC风险特征比率。该电子表格现在为生物技术开发者提供选择支持。这种基于风险的表面活性剂优先级排序是迈向绿色生物技术生产的一步。