低分子量有机酸对含钾矿物钾素释放及其动力学模型的影响
发布时间：2019-06-16 16:33
【摘要】：采用连续流动浸提的方法,研究了酒石酸和草酸对不同含钾矿物(黑云母、白云母和微斜长石)钾释放及动力学模型的影响。结果表明:酒石酸连续流动浸提条件下,黑云母、白云母和微斜长石的释钾量分别是对照处理(去离子水)各矿物释钾量的2.2、3.3和2.6倍;草酸浸提条件下,黑云母、白云母和微斜长石的释钾量分别是对照处理的2.7、4.5和10.1倍;不同溶液连续流动浸提条件下,各矿物的释钾量均表现为黑云母㧐白云母㧐微斜长石;分别采用抛物线扩散模型、双常数模型、Elovich模型和一级动力学模型对不同矿物中钾的释放量进行方程拟合,结果表明,4种模型模拟条件下黑云母、白云母的钾释放动力学方程均达到了极显著的水平,决定系数R2介于0.591~0.999;一级动力学模型模拟下微斜长石钾释放的动力学方程达到了极显著水平。连续流动条件下,低分子量有机酸可显著提高不同含钾矿物的钾素释放量。
[Abstract]:The effects of tartaric acid and oxalic acid on potassium release and kinetic models of different potassium minerals (biotite Muscovite and microplagioclase) were studied by continuous flow extraction. The results showed that under the condition of tartaric acid continuous flow extraction, the potassium release of biotite, Muscovite and microplagioclase was 2.2, 3.3 and 2.6 times higher than that of the control (deionized water), respectively, and the potassium release of biomica, Muscovite and microplagioclase was 2.7, 4.5 and 10.1 times of that of the control, respectively, under the condition of oxalic acid extraction, and the potassium release of biomica, Muscovite and microplagioclase was 2.7, 4.5 and 10.1 times higher than that of the control treatment, respectively. Under the condition of continuous flow extraction of different solutions, the potassium release amount of each mineral is biomica? Muscovite? Parabola diffusion model, double constant model, Elovich model and first order kinetic model were used to fit the potassium release from different minerals by parabola diffusion model, double constant model, Elovich model and first order kinetic model, respectively. the results showed that the potassium release kinetics equations of biomica and Muscovite reached a very significant level under the four models, and the determination coefficient R2 was 0.591 鈮，
本文编号：2500668
[Abstract]:The effects of tartaric acid and oxalic acid on potassium release and kinetic models of different potassium minerals (biotite Muscovite and microplagioclase) were studied by continuous flow extraction. The results showed that under the condition of tartaric acid continuous flow extraction, the potassium release of biotite, Muscovite and microplagioclase was 2.2, 3.3 and 2.6 times higher than that of the control (deionized water), respectively, and the potassium release of biomica, Muscovite and microplagioclase was 2.7, 4.5 and 10.1 times of that of the control, respectively, under the condition of oxalic acid extraction, and the potassium release of biomica, Muscovite and microplagioclase was 2.7, 4.5 and 10.1 times higher than that of the control treatment, respectively. Under the condition of continuous flow extraction of different solutions, the potassium release amount of each mineral is biomica? Muscovite? Parabola diffusion model, double constant model, Elovich model and first order kinetic model were used to fit the potassium release from different minerals by parabola diffusion model, double constant model, Elovich model and first order kinetic model, respectively. the results showed that the potassium release kinetics equations of biomica and Muscovite reached a very significant level under the four models, and the determination coefficient R2 was 0.591 鈮，
本文编号：2500668
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