Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, College of Water Sciences, Beijing Normal University, No 19, Xinjiekouwai Street, Beijing 100875, China.
Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, College of Water Sciences, Beijing Normal University, No 19, Xinjiekouwai Street, Beijing 100875, China.
Sci Total Environ. 2020 Aug 20;731:139128. doi: 10.1016/j.scitotenv.2020.139128. Epub 2020 May 6.
Antibiotics have been widely used in the past decades and caused global public health concerns due to the growing problems of antimicrobial resistance. The peri-urban rivers are always receiving massive wastes containing antibiotics and appear to be a reservoir of antibiotics and antibiotic resistance genes in the environment. To prevent and control the pollution of antibiotics, it is essential to correctly identify the potential sources of antibiotics in peri-urban rivers. Currently, systematic knowledge on risk characteristics and source apportionment of antibiotics in peri-urban rivers is still lacking. In the study, we addressed this problem and focused on exploring the ecotoxicological risk and potential sources of antibiotics in a peri-urban river in Beijing (Chaobai River). To this end, the waters and sediments were collected from the river, as well as the potential source types including domestic sewage, WWTP effluent, chicken manure, pig manure and cattle manure. The occurrence and concentration levels of 16 antibiotics in the waters and sediments of the river were comprehensively characterized, as well as the correlation of antibiotics with environmental factors. Then, risk quotients and mixture risk quotients were used to assess the ecotoxicological risk of single compound and the mixture toxicity of antibiotics, respectively. The synergistic effects of antibiotic mixtures were also analyzed. Further, positive matrix factorization was employed to apportion the potential sources of antibiotics based on the multilinear engine (ME-2) algorithm. The target antibiotics were widely detected in the peri-urban river and several antibiotics posed moderate ecotoxicological risks on aquatic organisms. Apportionment analysis identified four potential sources of antibiotics in the waters of Chaobai River, including domestic sewage (31.5%), chicken waste (26.4%), WWTP effluent (22.2%) and a mix source (20.0%). Additionally, WWTP effluent (~58%) and sewage effluent (41%) were apportioned as the main contributors of antibiotics in the sediments.
抗生素在过去几十年中被广泛应用，但由于抗菌药物耐药性问题日益严重，引起了全球公共卫生关注。城市周边河流经常接收大量含有抗生素的废物，这些河流似乎是环境中抗生素和抗生素抗性基因的储存库。为了防止和控制抗生素的污染，正确识别城市周边河流中抗生素的潜在来源至关重要。目前，关于城市周边河流中抗生素的风险特征和来源分配的系统知识仍然缺乏。在这项研究中，我们解决了这个问题，重点探讨了北京一条城市周边河流（潮白河）中抗生素的生态毒理学风险和潜在来源。为此，我们从河流中采集了水和沉积物，以及包括生活污水、污水处理厂出水、鸡粪、猪粪和牛粪在内的潜在源类型。全面描述了河流水中和沉积物中 16 种抗生素的发生和浓度水平，以及抗生素与环境因素的相关性。然后，使用风险商数和混合风险商数分别评估了单一化合物和抗生素混合物的生态毒理学风险，分析了抗生素混合物的协同作用。进一步，基于多线性引擎（ME-2）算法，采用正定矩阵因子分解法对潜在抗生素源进行分配。目标抗生素在城市周边河流中广泛检出，一些抗生素对水生生物具有中等生态毒性风险。分配分析确定了潮白河水中抗生素的四个潜在来源，包括生活污水（31.5%）、鸡粪（26.4%）、污水处理厂出水（22.2%）和混合源（20.0%）。此外，污水处理厂出水（~58%）和污水厂出水（41%）被分配为沉积物中抗生素的主要贡献者。
