Key Laboratory of Water and Sediment Sciences, Ministry of Education, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, Beijing 100871, China.
Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China.
J Hazard Mater. 2024 Sep 15;477:135399. doi: 10.1016/j.jhazmat.2024.135399. Epub 2024 Aug 2.
Through a systematic review of literature references from 2007 to 2022, we compiled a comprehensive national dataset comprising over 67,000 records and covering information on 129 antibiotics detected in the surface water and sediments of China's major rivers. Our analysis revealed notably high antibiotic concentrations in the Liaohe and Yellow Rivers. Among the antibiotics examined, sulfonamides, quinolones, and tetracyclines exhibited relatively high median concentrations in river water. Regional distribution analysis highlighted increased antibiotic levels in Shandong and Tianjin compared to other areas. Partial least squares path modeling revealed that animal production and pollution discharge positively influenced antibiotic levels in river water, whereas natural and socioeconomic factors had negative impacts. Based on the ecological risk assessment, we formulated a prioritized national list of antibiotics, with sulfonamides having the largest number of entries, followed by quinolones. Importantly, our analysis revealed a declining trend in antibiotic concentrations and the associated risk levels across China during the study period. This study not only enhances our understanding of antibiotic distribution in China's water systems, but also contributes to the development of a scientifically sound approach for prioritizing antibiotics. Ultimately, these findings will inform targeted antibiotic management and control strategies. ENVIRONMENTAL IMPLICATION: Antibiotics, posing threats to ecosystems and human health, exhibit pseudo-persistence in the environment. we compiled a national dataset of over 67,000 records on antibiotics, our study scrutinized antibiotic distribution in China's major river water and sediment. Through this analysis, we identified key factors influencing distribution patterns and crafted a national priority ranking for antibiotics. These findings deepen our understanding of antibiotic presence and contribute to the development of targeted management strategies aimed at minimizing environmental impact.
通过对 2007 年至 2022 年文献参考文献的系统回顾，我们编制了一个包含超过 67000 条记录的综合国家数据集，涵盖了中国主要河流地表水和沉积物中检测到的 129 种抗生素的信息。我们的分析表明，辽河和黄河的抗生素浓度明显较高。在所检查的抗生素中，磺胺类、喹诺酮类和四环素类在河水中的中位数浓度相对较高。区域分布分析突出了山东和天津与其他地区相比抗生素水平较高。偏最小二乘路径模型显示，动物生产和污染排放对河水中抗生素水平有积极影响，而自然和社会经济因素则有负面影响。基于生态风险评估，我们制定了一个优先考虑的全国抗生素清单，其中磺胺类抗生素数量最多，其次是喹诺酮类抗生素。重要的是，我们的分析表明，在研究期间，中国的抗生素浓度和相关风险水平呈下降趋势。这项研究不仅提高了我们对中国水系中抗生素分布的认识，还有助于制定一种科学合理的抗生素优先排序方法。最终，这些发现将为有针对性的抗生素管理和控制策略提供信息。环境影响：抗生素对生态系统和人类健康构成威胁，在环境中表现出假持久性。我们编制了一个包含超过 67000 条记录的国家抗生素数据集，研究了中国主要河流地表水和沉积物中的抗生素分布。通过这项分析，我们确定了影响分布模式的关键因素，并为中国的抗生素制定了全国优先排序。这些发现加深了我们对抗生素存在的认识，并有助于制定有针对性的管理策略，以最大限度地减少环境影响。
