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基于十年数据的多环境基质中县级抗生素风险评估

Country-level antibiotic risk assessment in the multiple environmental matrices based on decennial data.

作者信息

Zhou Dafang, Chen Linpeng, Huang Fuyang, Yan Bingshuang, Zhou Zikun, Wang Bin, Liu Fei, Dong Faqin, Ren Dong

机构信息

MOE Key Laboratory of Solid Waste Treatment and Resource Recycle, Southwest University of Science and Technology, Mianyang, Sichuan, PR China; Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Chengdu, PR China.

State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing, PR China.

出版信息

Environ Res. 2025 Aug 15;279(Pt 1):121762. doi: 10.1016/j.envres.2025.121762. Epub 2025 May 3.

Abstract

The overuse of antibiotics has led to widespread environmental detection. However, country-level antibiotic risks from a global perspective remain unclear, highlighting a crucial need for antibiotic management worldwide. This study elucidated a global assessment of antibiotic detection frequencies and concentrations across various countries, compared detection levels of antibiotic classifications across compartments in representative countries, and conducted a risk assessment based on predicted no-effect concentrations (PNECs) for antibiotic resistance and minimum inhibitory concentrations (MICs) relevant to microbial nitrogen cycling. A decennial dataset comprising 431,441 records for 137 antibiotics across eight environmental compartments in 45 countries was analyzed. Results showed that Kenya (199 %) had the highest cumulative detection frequencies of four aqueous media. Wastewater from WWTPs (mean: 19.7 ng/L) and animal manure (mean: 2.6 μg/kg) exhibited the highest levels in aqueous and solid media, respectively. From sources to receptors, the highest antibiotic detections and concentrations were found in wastewater from WWTP, where quinolones dominated in France and the USA, and sulfonamides in Kenya (175-357 detections, median: 137-580 ng/L). Similarly, in surface water, sulfonamides were significant in Kenya and Vietnam, quinolones in Kenya (290-2049 detections, median: 32-70 ng/L). From the perspective of cumulative risk, Malaysia, China, and Canada are ranked the top three for both PNECs risk (81 %-191 %) and MICs risk (211 %-236 %). Whether for PNECs or MICs, sulfonamides are the most exceedance-prone antibiotic class across countries and also the highest-risk antibiotic class (median: 33 %). According to the total risk results from different countries, Malaysia (402 %) has the highest risk, followed by Canada (317 %) and China (315 %). The highest antibiotic risks were observed in Asia (medium SDG score), followed by Europe and the Americas (high SDG score), and Africa (low SDG score).

摘要

抗生素的过度使用导致其在环境中广泛被检测到。然而,从全球视角来看,各国层面的抗生素风险仍不明确,这凸显了全球范围内抗生素管理的迫切需求。本研究阐明了对各国抗生素检测频率和浓度的全球评估,比较了代表性国家不同环境介质中各类抗生素的检测水平,并基于抗生素抗性的预测无效应浓度(PNECs)和与微生物氮循环相关的最低抑菌浓度(MICs)进行了风险评估。分析了一个十年期数据集,该数据集包含45个国家八个环境介质中137种抗生素的431,441条记录。结果显示,肯尼亚(199%)在四种水介质中的累积检测频率最高。污水处理厂废水(平均:19.7纳克/升)和动物粪便(平均:2.6微克/千克)分别在水介质和固体介质中呈现出最高水平。从源头到受体,污水处理厂废水中的抗生素检测量和浓度最高,其中喹诺酮类在法国和美国占主导,磺胺类在肯尼亚占主导(175 - 357次检测,中位数:137 - 580纳克/升)。同样,在地表水中,磺胺类在肯尼亚和越南含量显著,喹诺酮类在肯尼亚(290 - 2049次检测,中位数:32 - 70纳克/升)。从累积风险角度来看,马来西亚、中国和加拿大在PNECs风险(81% - 191%)和MICs风险(211% - 236%)方面位列前三。无论是PNECs还是MICs,磺胺类都是各国中最易超标且风险最高的抗生素类别(中位数:33%)。根据不同国家的总体风险结果,马来西亚(402%)风险最高,其次是加拿大(317%)和中国(315%)。抗生素风险在亚洲最高(可持续发展目标得分中等),其次是欧洲和美洲(可持续发展目标得分高),非洲最低(可持续发展目标得分低)。

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