批量吸附研究中的锂回收:合成、表征、优化、再生、动力学和等温线研究

IF 2.7 Q2 MULTIDISCIPLINARY SCIENCES
B․N․S Al-Dhawi , S․R․M Kutty , A․M Alawag , N․M․Y Almahbashi , F․A․H Al-Towayti , A․S Algamili , A․H Jagaba , A․H Birniwa
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引用次数: 0

摘要

锂(Li)的回收意义重大,因为在各种应用中,尤其是在储能领域,对锂的需求日益增加。本研究开发并利用合成的吸附剂来有效回收锂。因此,本研究旨在评估使用合成吸附剂 LiHMO 从水溶液中回收锂的有效性。研究人员利用不同的方法和技术,包括扫描电子显微镜(FESEM)、X 射线衍射(XRD)、Brunauer-Emmett-Teller(BET)分析和傅立叶变换红外光谱(FTIR),对合成吸附剂的表面积和特性进行了分析。研究结果表明,合成的吸附剂具有卓越的锂回收吸附能力。表征分析表明,吸附剂表面具有明确的多孔结构和官能团,有利于吸附。吸附剂的表面积被测定为 25.54 m²/g,为吸附过程提供了大量的活性表面。利用方框-贝肯响应面法(RSM)对 pH 值、吸附剂剂量、时间和浓度等关键因素对回收过程进行了优化。确定的关键操作参数包括 pH 值 4、初始浓度 900 毫克/升、接触时间 460 分钟和吸附剂用量 1300 毫克/升。利用二次模型对获得的数据进行了分析,得出 R² 值为 0.9538,表明吸附剂对锂的吸附是有效的。研究发现,锂回收率最高和最低的最佳条件分别为 95 % 和 89 %。吸附剂的吸附量(qe)被确定为 6.2 mg g-1。为了符合这些参数,利用了各种动力学模型和等温线。Freundlich 等温线和颗粒内扩散模型的 R² 结果分别为 0.9876 和 0.9862,表明它们具有很强的拟合能力。动力学研究表明,颗粒内扩散模型最能解释吸附过程,表明化学吸附是限速步骤。平衡数据与 Freundlich 等温线非常吻合,表明多层吸附具有异质表面能。此外,研究还对吸附剂的再生潜力进行了评估,发现第一周期的再生效率达到 91.9%,而第五周期则保持了 89.7% 的高效率,这表明吸附剂具有良好的可再利用性。研究结果展示了合成吸附剂 LiHMO 从水溶液中回收锂的效率,为吸附过程的最佳条件提供了有价值的信息。由于 LiHMO 吸附剂具有卓越的吸附能力和高吸附锂回收率,因此被选为从水溶液中回收锂的最佳选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lithium recovery in a batch adsorption study: Synthesis, characterization, optimization, regeneration, kinetics, and isotherm studies
Lithium (Li)recovery is significant due to an increasing need for Li in diverse applications, particularly in the energy storage domain. In this study, a synthesized adsorbent was developed and utilized to efficiently recover Li. Therefore, this research aims to assess the effectiveness of using the synthesized adsorbent LiHMO to recover Li from the aqueous solution. The surface area and characteristics of the synthesized adsorbent were subjected to analysis utilizing different methods and techniques, including scanning electron microscopy (FESEM), X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) analysis, and Fourier-transform infrared spectroscopy (FTIR). The findings indicated that the synthesized adsorbent demonstrated exceptional adsorption capabilities for Li recovery. Characterization analysis revealed a well-defined porous structure and functional groups on the adsorbent's surface, facilitating adsorption. The surface area of the adsorbent was determined to be 25.54 m²/g, providing a substantial active surface for adsorption processes. The Box-Behnken response surface method (RSM) was utilized to optimize the recovery process for key factors such as pH, adsorbent dose, time, and concentration. The critical operating parameters identified included a pH of 4, initial concentration of 900 mg/L, contact time of 460 min, and adsorbent dosage of 1300 mg/L. The obtained data were analyzed using a quadratic model, yielding an R² value of 0.9538, indicating that the adsorbent is effective in Li adsorption. The optimal conditions for maximizing Li recovery were found to be 95 % and 89 % for maximum and minimum recovery, respectively. The amount of adsorbate adsorbed (qe) was determined to be 6.2 mg g-1. Various kinetic models and isotherms were utilized to conform to these parameters. The Freundlich isotherm and the intraparticle diffusion model showed strong fits, as evidenced by their R² results of 0.9876 and 0.9862, respectively. The kinetic study suggested that the intraparticle-diffusion model best explained the adsorption process, indicating chemisorption as the rate-limiting step. The equilibrium data fitted well with the Freundlich isotherm, suggesting multilayer adsorption with heterogeneous surface energies. Furthermore, the study assessed the adsorbent's regeneration potential, finding that the first cycle of regeneration achieved 91.9 % efficiency, while the fifth cycle maintained a high efficiency of 89.7 %, indicating good reusability of the adsorbent. The study's findings showcase the efficiency of the synthesized adsorbent LiHMO in Li recovery from aqueous solutions, offering valuable information about the best conditions for the adsorption process. As a result of its superior sorption capacity and high recovery of adsorbed Li, the LiHMO adsorbent was selected as the optimal choice for Li recovery from aqueous solutions.
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来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
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