新型抑制剂可得然胶在萤石与方解石浮选分离中的应用及其机理
Flotation separation of fluorite from calcite by a new depressant curdlan and its mechanism
韩文杰 1朱一民 1葛文成 1刘杰 1李艳军 1李文博1
作者信息
- 1. College of Resources and Civil Engineering,Northeastern University,Shenyang 110819,China
- 折叠
摘要
在使用脂肪酸类捕收剂浮选萤石时,萤石与脉石矿物方解石的可浮性都很高.因此,必须使用高效抑制剂使方解石得到抑制.本文采用一种高效、环保的方解石抑制剂可得然胶用于萤石和方解石的浮选分离.首先,对可得然胶的结构和分子量进行表征;然后,进行浮选试验.结果表明,可得然胶的添加扩大了萤石与方解石的可浮性差异,从而实现了萤石和方解石的浮选分离.通过研究可得然胶对方解石的选择性抑制机理发现,可得然胶是通过其分子中羟基与方解石表面的钙形成化学键而进行吸附的,其吸附能力远大于萤石,从而选择性抑制方解石.这种选择性吸附导致了方解石表面在浮选过程中被可得然胶进行了亲水改性,并阻碍了NaOl吸附引起的疏水改性.而可得然胶在萤石表面的吸附能力较弱,NaOl仍可吸附在其表面,产生疏水性.因此,可得然胶可以作为萤石和方解石浮选分离时的新型抑制剂.
Abstract
In this study, curdlan was used as an efficient and eco-friendly calcite depressant for flotation of fluorite/calcite. Firstly, the structure and molecular weight of curdlan were characterized. Floatation test results showed that the flotation difference between fluorite and calcite was expanded by curdlan, thus enabling the flotation separation of fluorite/calcite. The selective depression mechanism of calcite by curdlan was investigated. It was found that curdlan was adsorbed by chemical bonding of its hydroxyl group with Ca on the calcite surface, having much greater adsorption capacity for calcite than fluorite, thus selectively depressing calcite. This selective adsorption resulted in the hydrophilic modification of calcite by curdlan in flotation and hindered the hydrophobic modification caused by the subsequent adsorption of sodium oleate. However, sodium oleate could still be adsorbed on its surface due to the weak adsorption of fluorite and curdlan, resulting in hydrophobicity. Therefore, fluorite could be separated from calcite by flotation with curdlan.
关键词
可得然胶/抑制剂/萤石/方解石/浮选Key words
curdlan/depressant/fluorite/calcite/flotation引用本文复制引用
基金项目
National Natural Science Foundation of China(51974067)
National Natural Science Foundation of China(51974068)
Liaoning Revitalization Talents Program,China(XLYC2007055)
Natural Science Foundation of Liaoning Province,China(2022-YQ-10)
出版年
2023
NETL
NSTL
维普
万方数据