Maximizing Lithium Adsorption and Selectivity on Manganese-Based Ion Sieves: Effects of Thermal Treatment, Acid Content, and Operating Conditions

IF 3.8 3区 工程技术 Q2 ENGINEERING, CHEMICAL
Botelho Disu, Roozbeh Rafati, Amin Sharifi Haddad, David Muirhead
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Abstract

Lithium has been proven to be a critical metal for energy transition due to its application as high-grade energy storage. Its extraction has long been limited to conventional sources (i.e., mines and salt lakes), which use solar ponds and chemical treatment methods. However, to respond to the ever-increasing exponential demand for Li+, unconventional resources such as subsurface brines from geothermal and oilfields have lately been considered, with technological extraction means being the main challenge. The present research focuses on maximizing lithium adsorption and selectivity on manganese-based ion sieves by optimizing key factors such as the thermal treatment condition for powder calcination, acid content, and batch experiment operating conditions. Thus, it aims to enhance the efficiency of the ion-sieve synthesis process while minimizing energy and reagent consumption, addressing both the performance and scalability challenges of existing methods. It was observed that the lithium excess spinel cubic structure (i.e., Li1.6Mn1.6O4) ion sieve was optimum for lithium recovery when LiMnO2 was heat treated at 400–450 °C for 4 h at a ramping rate of 10 °C/min. The precursor was then treated with various acids to remove the template Li+ from the structure without compromising it, whereby HCl-treated powder registered the highest desorption (95%), CH3COOH the lowest Mn2+ dissolution (9%), and H3PO4 the highest adsorption (29.5 mg/g). Hence, CH3COOH was the best delithiation medium when the material recyclability was the main focus, while HCl serves well to enhance the final recovery efficiency of lithium ions from the sieve structure. The adsorption of the optimum Li1.6Mn1.6O4 spinel cubic structure treated with 0.5 M HCl acid solution was described as a Langmuir monolayer model with an equilibrium retention capacity of 34.25 mg/g and dynamic pseudo-second-order chemisorption. The powder selectivity performance, Li+ ≫ Mg2+ > Fe2+ > Na+ > Ca2+ > Sr2+ > Ba2+ > K+ was primarily a function of the structure’s memory effect, with a secondary dependence on size and charge. When applied to synthetic lithium-rich Oilfield brine from Buchan (U.K.), Leduc (Canada), and Somerset, the extraction performance was recorded to be 20, 23, and 27 mg/g, respectively, at an S/L ratio of 1 g/L. The effects of operating conditions were also evaluated, with adsorption increasing with pH and brine temperature while decreasing moderately with stirring rate, Mg, and Na/Li ratio.

Abstract Image

锰基离子筛对锂的最大吸附和选择性:热处理、酸含量和操作条件的影响
锂已被证明是能源转换的关键金属,因为它被应用于高级储能。长期以来,它的提取一直局限于使用太阳能池和化学处理方法的传统来源(即矿山和盐湖)。然而,为了应对不断增长的锂离子需求,人们最近开始考虑非常规资源,如地热和油田的地下盐水,而技术提取手段是主要挑战。本文的研究重点是通过优化粉末煅烧热处理条件、酸含量和批量实验操作条件等关键因素,最大限度地提高锂在锰基离子筛上的吸附和选择性。因此,它旨在提高离子筛合成过程的效率,同时最大限度地减少能源和试剂消耗,解决现有方法的性能和可扩展性挑战。结果表明,当LiMnO2在400 ~ 450℃下以10℃/min的升温速率热处理4 h时,过量尖晶石立方结构(即Li1.6Mn1.6O4)离子筛对锂的回收效果最佳。然后用不同的酸处理前驱体以去除模板Li+而不损害其结构,其中盐酸处理粉末的解吸率最高(95%),CH3COOH的Mn2+溶解率最低(9%),H3PO4的吸附率最高(29.5 mg/g)。因此,当以物料可回收性为主要目标时,CH3COOH是最佳的粉碎介质,而HCl则可以很好地提高筛结构中锂离子的最终回收效率。在0.5 M盐酸溶液中,最佳的Li1.6Mn1.6O4尖晶石立方结构的吸附为Langmuir单层模型,其平衡保留容量为34.25 mg/g,为动态拟二级化学吸附。粉末选择性性能,Li+ > Mg2+ >;价比;Na +比;Ca2 +的在Sr2 +比;菲律宾媒体+比;K+主要是结构记忆效应的函数,其次依赖于尺寸和电荷。当应用于英国Buchan、加拿大Leduc和Somerset油田的富锂合成盐水时,在S/L比为1 g/L的条件下,萃取性能分别为20、23和27 mg/g。考察了操作条件对吸附性能的影响,吸附性能随pH和盐水温度的增加而增加,随搅拌速率、Mg和Na/Li比的增加而适度降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Industrial & Engineering Chemistry Research
Industrial & Engineering Chemistry Research 工程技术-工程:化工
CiteScore
7.40
自引率
7.10%
发文量
1467
审稿时长
2.8 months
期刊介绍: ndustrial & Engineering Chemistry, with variations in title and format, has been published since 1909 by the American Chemical Society. Industrial & Engineering Chemistry Research is a weekly publication that reports industrial and academic research in the broad fields of applied chemistry and chemical engineering with special focus on fundamentals, processes, and products.
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