Synthesizing LiFePO4 by phosphate & iron recovered from sludge-incinerated ash and Li extracted from concentrated brines

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-08-20 DOI:10.1016/j.watres.2024.122261
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Abstract

Phosphorus (P) recovered from sludge-incinerated ash (SIA) could be applied to synthesize highly added-value products (FePO4 and LiFePO4) with in situ Fe in SIA. Indeed, LiFePO4 is a future of rechargeable batteries, which makes lithium (Li) highly needed. Alternatively, Li could also be extracted from concentrated brines to face a potential crisis of Li depletion on lands. Based on H3PO4 and Fe3+ co-extracted from the acidic leachate of SIA by tributyl phosphate (TBP), FePO4 (31.2 wt% Fe, 17.6 wt% P and the molar ratio of Fe/P = 0.98) was easily formed only adjusting pH of the stripping solution to 1.6. Interestingly, the organic phase from the first-stage co-extraction process of Fe3+ and H3PO4 could be utilized for Li-extraction from salt-lake brine, based on the TBP-FeCl3-kerosene system, and a good performance (78.7%) of Li-extraction and separation factors (β) (186.0–217.4) were obtained. Furthermore, the compounds with Li-extraction are complex, possibly LiFeCl4∙2TBP, in which Li+ could be stripped to form Li2CO3 by 4.0 M HCl (with a stripping rate up to 83%). Besides, Li2CO3 could also be obtained from desalinated brine by adsorption with manganese oxide ion sieve (HMO) and desorption with HCl. In the two cases, almost pure Li2CO3 products were obtained, up to 99.7 and 99.5 wt% Li2CO3 respectively, after further purification and concentration. Finally, recovered FePO4 and extracted Li2CO3 were synthesized for producing LiFePO4 that had a similar electrochemical property (69.5 and 77.8 mAh/g of the initial discharge capacity) to those synthesized from commercial raw materials.

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利用从污泥焚烧灰中回收的磷酸盐和铁以及从浓盐水中提取的锂合成 LiFePO4
从污泥焚化灰(SIA)中回收的磷(P)可用于与 SIA 中的铁合成高附加值产品(FePO 和 LiFePO)。事实上,LiFePO 是可充电电池的未来发展方向,因此对锂(Li)的需求量很大。另外,也可以从浓盐水中提取锂,以应对土地锂枯竭的潜在危机。利用磷酸三丁酯(TBP)从 SIA 的酸性浸出液中共同萃取 HPO 和铁,只需将剥离溶液的 pH 值调至 1.6,即可轻松形成 FePO(31.2 wt% 铁,17.6 wt% 磷,Fe/P 摩尔比 = 0.98)。有趣的是,基于 TBP-FeCl- 煤油体系,Fe 和 HPO 第一阶段共萃取过程中产生的有机相可用于盐湖卤水中的锂萃取,并获得了良好的锂萃取性能(78.7%)和分离因子()(186.0-217.4)。此外,萃取锂的化合物很复杂,可能是 LiFeCl∙2TBP ,其中的锂可被 4.0 M HCl 剥离形成 LiCO(剥离率高达 83%)。此外,还可以通过氧化锰离子筛(HMO)吸附和盐酸解吸从脱盐盐水中获得 LiCO。在这两种情况下,经过进一步纯化和浓缩后,可获得几乎纯净的 LiCO 产物,LiCO 重量百分比分别高达 99.7 和 99.5。最后,回收的 FePO 和提取的 LiCO 被合成用于生产 LiFePO,其电化学性质(69.5 mAh/g 和 77.8 mAh/g 初始放电容量)与用商业原料合成的 LiFePO 相似。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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