Impacts of micro/nano plastics on the ecotoxicological effects of antibiotics in agricultural soil: A comprehensive study based on meta-analysis and machine learning prediction

被引：0
|
作者：
Che, Tian-Hao [1 ,2 ]
Qiu, Guan-Kai [1 ,3 ]
Yu, Hong-Wen [1 ]
Wang, Quan-Ying [1 ]
机构：
[1] State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun,130102, China
[2] Yanbian University, Agricultural college, Yanji,133002, China
[3] University of Chinese Academy of Sciences, Beijing,100049, China
来源：
Science of the Total Environment | 2024年 / 955卷
关键词：
Micro/nano plastics (M/NPs) and antibiotics; as widely coexisting pollutants in environment; pose serious threats to soil ecosystem. The purpose of this study was to systematically evaluate the ecological effects of the co-exposure of M/NPs and antibiotics on soil organisms through the meta-analysis and machine learning prediction. Totally; 1002 data set from 38 articles were studied. The co-exposure of M/NPs significantly promoted the abundance (62.68 %) and migration level (55.22 %) of antibiotic contamination in soil; and caused serious biotoxicity to plants (−12.31 %); animals; (−12.03; and microorganisms (35.07 %). Using 10 variables; such as risk response categories; basic physicochemical properties; exposure objects; and exposure time of M/NPs; as data sources; Random Forests (RF) and eXtreme Gradient Boosting (XGBoost) models were developed to predict the impacts of M/NPs on the ecotoxicological effects of antibiotics in agricultural soil. The effective R2 values (0.58 and 0.60; respectively) indicated that both models can be used to predict the future ecological risk of M/NPs and antibiotics coexistence in soil. Particle size (13.54 %); concentration; (5.02; and type (11.18 %) of M/NPs were the key characteristic parameters that affected the prediction results. The findings of this study indicate that the co-exposure of M/NPs and antibiotics in soil not only exacerbates antibiotic contamination levels but also causes severe toxic effects to soil organism. Furthermore; this study provides an effective approach for ecological risk assessment of the coexistence of M/NPs and antibiotics in environment. © 2024 Elsevier B.V;
D O I：
10.1016/j.scitotenv.2024.177076
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