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雨水生物滞留池中抗生素耐药菌的流出风险:吸附和传播作用的理解。

Outflow risks of antibiotic-resistant bacteria in stormwater bioretention cells: understanding roles of adsorption and transmission.

机构信息

Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China E-mail:

Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

出版信息

Water Sci Technol. 2023 Oct;88(7):1699-1710. doi: 10.2166/wst.2023.307.

Abstract

In this study, lab-scale bioretention cells were designed for the investigation of antibiotic-resistant bacteria (ARB) outflow profiles at different depths, effects of adsorption and transmission, as well as modelling evaluation of ARB outflow risks using the common decay models (e.g., first-order decay models). ARB outflow was first found in the upper layers (after 100 days of the operation) with the lowest transmission frequencies of antibiotic resistance. Although the adsorption of ARB onto the substrate and its surface biofilms was effective with the maximum amount of ARB adsorbed (Q) reaching 108 CFU/g of the substrate and 107 CFU/g of biofilms, ARB outflow was detected in the bottom outlets after over 4 months of operation, reflecting that there was still a risk of antibiotic resistance through the treatment of bioretention cells. ARB outflow for both upper and middle outlets could be well described by third-order polynomial equations with correlation coefficients 0.9067 (p = 0.0002) and 0.9780 (p < 0.0001), respectively, where there were both positive and negative relationships between outflow ARB and inflow ARB, confirming the combined action of mechanisms blocking ARB outflow (e.g., substrate adsorption) and promoting ARB outflow (like transmission). These suggested two potential controlling approaches for ARB outflow from stormwater bioretention cells.

摘要

在这项研究中,设计了实验室规模的生物滞留池,以研究不同深度下抗生素耐药菌(ARB)的流出剖面、吸附和传输的影响,以及使用常见衰减模型(如一级衰减模型)对 ARB 流出风险进行建模评估。ARB 首先在最上层(运行 100 天后)流出,其抗生素耐药性的传输频率最低。尽管 ARB 被吸附到基质和其表面生物膜上是有效的,最大吸附量 ARB(Q)达到基质 108 CFU/g 和生物膜 107 CFU/g,但在运行超过 4 个月后,仍在底部出口检测到 ARB 流出,这反映出生物滞留池处理仍存在抗生素耐药性的风险。上、中出水口的 ARB 流出均可用三阶多项式方程很好地描述,相关系数分别为 0.9067(p = 0.0002)和 0.9780(p < 0.0001),其中流出 ARB 与流入 ARB 之间存在正相关和负相关关系,证实了阻止 ARB 流出的机制(如基质吸附)和促进 ARB 流出的机制(如传输)的共同作用。这些结果为控制雨水生物滞留池中 ARB 流出提供了两种潜在的方法。

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