Department of Environmental Science and Analytical Chemistry (ACES), Stockholm University, 10691 Stockholm, Sweden.
Environ Sci Process Impacts. 2017 Apr 19;19(4):488-498. doi: 10.1039/c6em00635c.
Many transformation products (TPs) from organic micropollutants are not included in routine environmental monitoring programs due to limited knowledge of their occurrence and fate. An efficient method to identify and prioritize critical compounds in terms of environmental relevance is needed. In this study, we applied a strategic screening approach based on a case-control concept to identify TPs formed along wastewater-impacted rivers. Time-integrated samples were collected over one week at both ends of a river stretch downstream of a wastewater treatment plant (WWTP) outfall and were analyzed by ultrahigh performance liquid chromatography interfaced with quadrupole time-of-flight mass spectrometry (UHPLC-QToF-MS/MS). The screening procedure of the high-resolution MS (HRMS) datasets consisted of three major steps: (i) screening for parent compounds (PCs) attenuated along the stretch; (ii) prediction of potential TPs from these PCs; and (iii) screening for TPs from this list with an increasing trend along the stretch. In total, 32 PCs decreased along the investigated river stretches. From these PCs, eight TPs had increasing concentrations along the studied stretches and could be tentatively identified. The identification of one TP (benzamide) was confirmed by its corresponding reference standard, while no standards were available for the remaining TPs.
由于对有机微污染物转化产物(TPs)的发生和归宿知之甚少,许多 TPs 并未包含在常规环境监测计划中。因此,需要一种有效的方法来识别和优先考虑具有环境相关性的关键化合物。在本研究中,我们应用了一种基于病例对照概念的策略性筛选方法,以识别沿受废水影响的河流形成的 TPs。在污水处理厂(WWTP)出水口下游的一条河流的上下游两端,在一周的时间内采集了时间积分样本,并通过超高效液相色谱-四极杆飞行时间质谱联用仪(UHPLC-QToF-MS/MS)进行分析。高分辨率 MS(HRMS)数据集的筛选程序包括三个主要步骤:(i)筛选沿河流伸展方向衰减的母体化合物(PCs);(ii)从这些 PCs 预测潜在的 TPs;(iii)从沿河流伸展方向浓度增加的列表中筛选 TPs。总共,有 32 种 PCs 在研究的河流中逐渐减少。从这些 PCs 中,有 8 种 TPs 的浓度沿研究的河流逐渐增加,可以进行初步鉴定。其中一个 TP(苯甲酰胺)的鉴定得到了其相应标准品的证实,而其余 TPs 则没有标准品。