Zhang Chunqiu, Yu Qingmiao, Wu Gang, Fang Yushi, Shen Guochen, Fan Fan, Xu Ke, Ren Hongqiang, Geng Jinju
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, PR China.
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, PR China; Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400044, PR China.
Sci Total Environ. 2023 Oct 28:168081. doi: 10.1016/j.scitotenv.2023.168081.
This study investigated the spatiotemporal distribution of 17 pharmaceuticals in wastewater treatment plants (WWTPs) from 17 provinces across China, and explored structural insights into their removal in full-scale wastewater treatment processes by quantum chemistry. Briefly, 10 pharmaceuticals were detected in above 85 % of samples, of which ibuprofen and sulfamethoxazole dominated with concentrations up to the μg/L level. Seasonally, concentrations of psychoactive drugs (PDs) were 1.3-2.6 times higher in summer than in other seasons. Spatially, higher average concentrations were detected in northern WWTPs, and regions with similar economic levels exhibited similar contamination patterns. Pharmaceutical removal in WWTPs ranged from 41.4 % (carbamazepine) to 87.2 % (sulfamethizole), with the secondary treatment segment, especially aerobic treatment units, maintaining an important position. Molecular structural mechanisms behind these removal performances were further revealed. Firstly, we demonstrated a significant association of pharmaceutical overall removal with electrophilicity index (ωcubic) as well as the lowest unoccupied molecular orbital energy (ELUMO). Highly electrophilic pharmaceuticals may persist in WWTPs and their sensitivity to electron exchange reactions accounted for the discrepant removal. In terms of treatment segments, pharmaceuticals with reaction sites masked in molecular structure, such as ibuprofen and venlafaxine, showed a propensity for tertiary treatment suitability. Furthermore, enzymes of aerobic units exhibited excellent docking affinity to pharmaceutical molecules with an average affinity of -7.2 kcal/mol, and hydrogen-bond interactions played an important factor in promoting biodegradation. Our results emphasize the necessity of assessing pharmaceutical contamination on a larger spatiotemporal scale. Moreover, the structural insights into removal phenomena offer scientific molecular-level justification for the design and optimization of pharmaceutical treatment technologies in WWTPs.
本研究调查了中国17个省份污水处理厂中17种药物的时空分布,并通过量子化学方法探究了它们在实际污水处理过程中的去除机制。简而言之,在超过85%的样本中检测到了10种药物,其中布洛芬和磺胺甲恶唑占主导地位,浓度高达μg/L水平。季节性方面,精神活性药物(PDs)在夏季的浓度比其他季节高1.3 - 2.6倍。空间上,北方污水处理厂检测到的平均浓度较高,经济水平相似的地区呈现出相似的污染模式。污水处理厂中药物的去除率在41.4%(卡马西平)至87.2%(磺胺噻唑)之间,二级处理阶段,尤其是好氧处理单元,保持着重要地位。进一步揭示了这些去除性能背后的分子结构机制。首先,我们证明了药物的总体去除与亲电指数(ω立方)以及最低未占据分子轨道能量(ELUMO)之间存在显著关联。亲电性高的药物可能在污水处理厂中残留,它们对电子交换反应的敏感性导致了去除率的差异。就处理阶段而言,分子结构中反应位点被掩盖的药物,如布洛芬和文拉法辛,显示出更适合三级处理的倾向。此外,好氧单元的酶对药物分子表现出优异的对接亲和力,平均亲和力为-7.2 kcal/mol,氢键相互作用在促进生物降解中起重要作用。我们的结果强调了在更大的时空尺度上评估药物污染的必要性。此外,对去除现象的结构洞察为污水处理厂中药物处理技术的设计和优化提供了科学的分子水平依据。