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首页> 外文期刊>Eurasian Soil Science >Assessing the Complexing Properties of Soil Organic Matter by IMAC (Case Study of Copper Ions)
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Assessing the Complexing Properties of Soil Organic Matter by IMAC (Case Study of Copper Ions)

机译:IMAC评估土壤有机质络合性质(铜离子的案例研究)

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Immobilized metal affinity chromatography (IMAC) has been used to fractionate organic compounds in alkaline extracts from forest soils of the Komi Republic by their ability to form complexes with copper ions. An algorithm for chromatographic fractionation of substances into the groups of homogeneous molecular compounds is proposed by selecting the separation conditions; this algorithm comprises sequential change in pH and ionic strength of the eluent. As is shown, the alkaline extract contains three fractions, the components of which differ in their ability to form complexes with copper. The humic substances of iron-illuvial podzol (Albic Podzol), podzolic (Glossic Retisol), and peaty-podzolic gleyic (Histic Retisol) soils are shown to differ in their relative contents of ligand-forming organic compounds. The maximum content (according to C-org) of copper complexones is recorded in the organic matter of forest litters of the examined soils (14-21 g/kg). The corresponding values of the organic matter content in the eluvial horizons are 0.5-1.5 g/kg. The highest content of the carbon compounds able to bind copper ions is characteristic of podzolic soils, while the organic matter components of podzols and peaty-podzolic gleyic soil display somewhat lower affinity for copper. The proposed algorithm can be used to assess the soil vulnerability to heavy metal pollution.
机译:固定化的金属亲和力色谱(IMAC)已通过它们通过与铜离子形成复合物的能力来分级来自Komi Reparions的森林土壤中的碱性摘录中的有机化合物。通过选择分离条件,提出了一种用于均相分子化合物组中物质的色谱分馏的算法;该算法包括洗脱液的pH和离子强度的顺序变化。如图所示,碱性提取物含有三个级分,其组分在它们与铜形成复合物的能力方面不同。铁病植物(alAlcian podzol),豆糖型(术语retisol)和泥炭豆豆晶粒(Histic-podzolic Gley(Histic-Podzolic Gley(Histic-Podzol)土壤的腐殖质物质显示在它们的结合体形成有机化合物的相对含量的不同之处。最大含量(根据C-ORG)铜络合物中的森林凋落物的有机物质(14-21g / kg)。海藻间面的有机物质含量的相应值为0.5-1.5g / kg。能够结合铜离子的碳化合物的最高含量是豆毒性土壤的特征,而豆荚和泥炭豆豆豆晶池的有机物质组分对铜有点较低。该算法可用于评估重金属污染的土壤脆弱性。

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