Zuccato Ettore, Castiglioni Sara, Fanelli Roberto
Department of Environmental Health Sciences, Mario Negri Institute for Pharmacological Research, Milan, Italy.
J Hazard Mater. 2005 Jul 15;122(3):205-9. doi: 10.1016/j.jhazmat.2005.03.001.
A predictive approach seems useful to identify pharmaceuticals in the environment and give an idea of overall levels of contamination, so as to restrict monitoring to those molecules most likely to be contaminants. We propose an approach based on two parts. The first is to rank the molecules according to the predicted environmental loads; the second is to refine the list by analysing the pharmaceuticals in sewage treatment plants (STPs) and comparing the concentrations with levels previously measured in surface water. This approach identified a restricted group of priority pollutants (ofloxacin, furosemide, atenolol, hydrochlorothiazide, carbamazepine, ibuprofen, spiramycin, bezafibrate, erythromycin, lincomycin and clarithromycin) in the aquatic environment in Italy, for further studies and monitoring.
一种预测方法似乎有助于识别环境中的药物,并了解总体污染水平,从而将监测限制在最有可能成为污染物的那些分子上。我们提出了一种基于两个部分的方法。第一部分是根据预测的环境负荷对分子进行排名;第二部分是通过分析污水处理厂中的药物并将浓度与先前在地表水中测量的水平进行比较来完善清单。这种方法确定了意大利水生环境中的一组受限的优先污染物(氧氟沙星、呋塞米、阿替洛尔、氢氯噻嗪、卡马西平、布洛芬、螺旋霉素、苯扎贝特、红霉素、林可霉素和克拉霉素),以供进一步研究和监测。