Xindong Yang,Qinghua Zhou,Qianwen Wang,Juan Wu,Haofeng Zhu,Anping Zhang,Jianqiang Sun
Plant accumulation of phenolic contaminants from agricultural soils can cause human health risks via the food chain. However, experimental and predictive information for plant uptake and accumulation of bisphenol congeners is lacking. In this study, the uptake, translocation, and accumulation of five bisphenols (BPs) in carrot and lettuce plants were investigated through hydroponic culture (duration of 168 h) and soil culture (duration of 42 days) systems. The results suggested a higher bioconcentration factor (BCF) of bisphenol AF (BPAF) in plants than that of the other four BPs. A positive correlation was found between the log BCF and the log K ow of BPs ( R 2 carrot = 0.987, R 2 lettuce = 0.801, P < 0.05), while the log (translocation factor) exhibited a negative correlation with the log K ow ( R 2 carrot = 0.957, R 2 lettuce = 0.960, P < 0.05). The results of molecular docking revealed that the lower binding energy of BPAF with glycosyltransferase, glutathione S-transferase, and cytochrome P450 (−4.34, −4.05, and −3.52 kcal/mol) would be responsible for its higher accumulation in plants. Based on the experimental data, an attention mechanism multi-layer perceptron (AM-MLP) model was developed to predict the BCF of eight untested BPs by machine learning, suggesting the relatively high BCF of bisphenol BP, bisphenol PH, and bisphenol TMC (BCF carrot = 1.37, 1.50, 1.03; BCF lettuce = 1.02, 0.98, 0.67). The prediction of BCF for ever-increasing varieties of BPs by machine learning would reduce repetitive experimental tests and save resources, providing scientific guidance for the production and application of BPs from the perspective of priority pollutants.
Huanping Liu,Xiaoyan Tang,Xiaomin Xu,Yunv Dai,Xiaomeng Zhang,Yang Yang
Broad-spectrum insecticides such as neonicotinoids tend to accumulate and detrimentally impact natural ecosystems. Accordingly, we aimed to assess the neonicotinoid phytoremediation abilities of nine wetland plant species commonly used in constructed wetland systems: Acorus calamus , Typha orientalis , Arundo donax , Thalia dealbata , Canna indica , Iris pseudacorus , Cyperus alternifolius , Cyperus papyrus and Juncus effusus. We assessed their removal of six neonicotinoids and explored the mechanisms responsible for the observed removal in a 28-day experiment. The planted systems effectively removed the neonicotinoids, with removal efficiencies of 9.5–99.9%. Compared with the other neonicotinoids, imidacloprid , thiacloprid and acetamiprid were most readily removed in the planted systems. C. alternifolius and C. papyrus exhibited the best removal performance for all six neonicotinoids. Based on our assessment of mass balance, the main removal processes were biodegradation and plant accumulation. Plants can enhance neonicotinoid removal through enhancing biodegradation. The differences in transport and accumulation behaviors may be related to plant species and physicochemical properties of neonicotinoids. Further research is merited on the toxicity of neonicotinoids to plants and microorganisms and the metabolic pathways by which neonicotinoids are broken down in wetland systems.
危险品化学品经营许可证（带存储）