State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
J Environ Manage. 2019 Jul 15;242:153-161. doi: 10.1016/j.jenvman.2019.04.063. Epub 2019 Apr 28.
Metal ions (MIs) are the main sources of phytotoxicity of compost product, which can be absorbed by plants, thereby reducing the germination rate. The aim of this study was to analyze the interactional mechanism among MIs, microbial community, the structure of water soluble organic matter and phytotoxicity during composting. The results indicated that phytotoxicity was positively correlated with MIs (II) (As, Cd, Hg, Cr, Fe, Mn and Pb), and negatively correlated with MIs (I) (Mg, Zn, Ni and Cu). Furthermore, SO, organic matter (OM), pH and four bacterial species significantly influenced the association of MIs to phytotoxicity. Additionally, molecular weight, protein-like substance and oxygen-containing functional groups relating to MIs (II) were significantly influenced by the nine bacterial species. Based on the response of physicochemical parameters on these key bacterial species, three possible mutual mechanisms were proposed using the structural equation model. Accordingly, a regulating method was proposed to reduce the phytotoxicity during composting.
金属离子(MIs)是堆肥产品中植物毒性的主要来源,它们可以被植物吸收,从而降低发芽率。本研究旨在分析堆肥过程中 MIs、微生物群落、水溶性有机物结构和植物毒性之间的相互作用机制。结果表明,植物毒性与 MIs(II)(As、Cd、Hg、Cr、Fe、Mn 和 Pb)呈正相关,与 MIs(I)(Mg、Zn、Ni 和 Cu)呈负相关。此外,SO、有机质(OM)、pH 值和四种细菌显著影响 MIs 与植物毒性的关联。此外,与 MIs(II)相关的分子量、蛋白质样物质和含氧官能团也受到九种细菌的显著影响。基于这些关键细菌对理化参数的响应,使用结构方程模型提出了三种可能的相互作用机制。因此,提出了一种调节方法来降低堆肥过程中的植物毒性。