Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China; Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China.
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Sci Total Environ. 2022 Sep 10;838(Pt 2):156141. doi: 10.1016/j.scitotenv.2022.156141. Epub 2022 May 21.
Persistently high concentrations of antibiotics have been reported in soils worldwide due to the intensive use of veterinary antibiotics, and continuous adsorption and transport of various antibiotics in soils occur, posing a significant threat to the environment and human health. This study systematically reviews the spatial distribution and ecological risk of four commonly detected antibiotic residues in soil in China, including sulphonamides (SAs), fluoroquinolones (FQs), tetracyclines (TCs) and macrolides (MLs), using various models, such as redundancy analysis (RDA), principal coordinate analysis (PCoA) and structural equation modelling (SEM). Antibiotic residual concentration data were obtained from relevant repositories and the literature. The results suggest a high level of antibiotic pollution and ecological risk in the largest urban agglomerations (LUAs), including Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD) and Guangdong-Hong Kong-Macao Greater Bay Area (GBA), with a 100% detection rate. SAs, FQs, TCs and MLs were the dominant antibiotic residues in soils, mainly attributed to manure fertilization and wastewater reuse in agriculture. These antibiotic concentrations ranged from 10 to 10 μg kg, and their ecological risk varied significantly across different regions of China, with SAs posing the most serious ecological risk to the soil environment (p < 0.05). These models established a significant association (p < 0.05) between the physicochemical properties of antibiotics and land-use type (LUT) with antibiotic residues in soil. The structure of the antibiotic exerted the greatest influence on antibiotic residues, followed by the LUT, while regional differences had the weakest effect.
由于兽用抗生素的大量使用,世界各地的土壤中都有持续存在的高浓度抗生素,而且土壤中各种抗生素会不断被吸附和迁移,这对环境和人类健康构成了重大威胁。本研究采用冗余分析(RDA)、主坐标分析(PCoA)和结构方程模型(SEM)等多种模型,系统地综述了中国土壤中四种常见抗生素残留(磺胺类、氟喹诺酮类、四环素类和大环内酯类)的空间分布和生态风险。抗生素残留浓度数据来自相关数据库和文献。结果表明,在最大的城市群(如京津冀、长三角和粤港澳大湾区)中,抗生素污染和生态风险水平较高,检出率达 100%。磺胺类、氟喹诺酮类、四环素类和大环内酯类是土壤中主要的抗生素残留,主要归因于农业中粪肥施肥和废水再利用。这些抗生素浓度范围为 10 到 10μg/kg,在中国不同地区的生态风险差异显著,磺胺类对土壤环境的生态风险最大(p<0.05)。这些模型建立了抗生素的物理化学性质与土地利用类型(LUT)和土壤中抗生素残留之间的显著关联(p<0.05)。抗生素的结构对抗生素残留的影响最大,其次是 LUT,而区域差异的影响最弱。