Minerals Engineering最新文献_第9页

Bioleaching of Co-bearing sulfide tailings by Acidithiobacillus ferrooxidans: Influencing factors, mechanism and kinetics 酸性氧化亚铁硫杆菌对含钴硫化物尾矿的生物浸出：影响因素、机理及动力学

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-15 DOI: 10.1016/j.mineng.2026.110074

Qiya Bian , Sha Deng , Wei Yang , Tao Long , Sirui Chen , Chuntao Yan , Yuran Wang , Qubing Li

The critical role of cobalt in renewable energy and advanced industries makes developing efficient recovery technologies from secondary resources an imperative. This study systematically investigates the bioleaching of Co-bearing sulfide tailings by Acidithiobacillus ferrooxidans under variable parameters, including pulp density, temperature, initial pH, and bacterial inoculum concentration. Under the condition of 8 % pulp density, 35 °C, an initial pH of 2.0, and an inoculum concentration of 2.5 × 10⁷ cells/mL, 44.53 % of cobalt extraction was obtained. Mineral morphology and phase evolution analyses, consistent with the kinetic fitting results based on the shrinking-core model, revealed that during the bacterial lag phase (0–5 days), pyrrhotite dissolved preferentially, and cobalt leaching was controlled by surface chemical reactions. Extensive pyrite dissolution occurred in the log-stationary phase (5–27 days), but jarosite precipitates formed a passivation layer that hindered cobalt release. Consequently, cobalt leaching shifted to diffusion control through the product layer. Meanwhile, H⁺ released during bacterial oxidation and jarosite formation drove extensive vermiculite dissolution. Elevated temperatures accelerated the oxidation of elemental sulfur and increased the solution acidity. This enhanced the breakdown of lepidocrocite and suppressed jarosite generation, thereby favoring cobalt leaching mechanisms, although the leaching efficiency decreased at 45 °C. These findings advance theoretical frameworks and provide fundamental principles for processing Co-bearing sulfide tailings/concentrates.

钴在可再生能源和先进工业中的关键作用使得开发有效的二次资源回收技术势在必行。本研究系统研究了酸化氧化亚铁硫杆菌在矿浆密度、温度、初始pH和细菌接种量等参数下对含钴硫化尾矿的生物浸出。在矿浆密度为8%、温度为35℃、初始pH为2.0、接种量为2.5 × 107 cells/mL的条件下，钴的提取率为44.53%。矿物形态和物相演化分析与基于收缩核模型的动力学拟合结果一致，表明在细菌滞后期（0 ~ 5 d），磁黄铁矿优先溶解，钴浸出受表面化学反应控制。在log-stationary phase（5-27天）发生了广泛的黄铁矿溶解，但黄钾铁矾沉淀形成了钝化层，阻碍了钴的释放。因此，钴浸出转变为通过产物层的扩散控制。同时，细菌氧化和黄钾铁矾形成过程中释放的H+推动了蛭石的广泛溶解。升高的温度加速了单质硫的氧化，增加了溶液的酸度。这促进了绢云母的分解，抑制了黄钾铁矾的生成，从而有利于钴的浸出机制，尽管浸出效率在45°C时下降。这些发现提出了理论框架，并为处理含钴硫化尾矿/精矿提供了基本原理。

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引用次数: 0

Selective flocculation mechanism of sodium oleate in flotation separation of cassiterite and calcite with cetylpyridinium bromide as a dispersant 油酸钠在十六烷基溴化吡啶浮选分离锡石和方解石中的选择性絮凝机理

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-14 DOI: 10.1016/j.mineng.2026.110079

Jinfang Lv , Chunli Zhang , Jinwen Li , Haiyu Qian

Under a dispersed system of cetylpyridinium bromide, selective flocculation mechanism of sodium oleate (NaOL) in flotation separation of cassiterite and calcite were investigated by micro-flotation experiments, turbidity measurements, particle size distribution analysis, contact angle measurements, zeta potentials measurements, infrared spectrum analysis and extended Derjaguin-Landau-Verwey-Overbeek (DLVO) calculation in this study. Compared with conventional flocculants, micro-flotation results demonstrated that addition of NaOL significantly enhanced the flotation separation between cassiterite and calcite. Results of turbidity tests and particle size distribution showed that NaOL effectively reduced the suspension turbidity and increased the particle size of minerals. Moreover, the addition of NaOL increased contact angle of cassiterite, improving the hydrophobicity of cassiterite. Zeta potentials measurements proved that the surfaces of cassiterite and calcite had positive surface charges after interaction with NaOL at pH values below 10.45. Infrared spectrum analysis demonstrated that NaOL acted on the surface of cassiterite and calcite in the form of chemisorption. Extended DLVO theory proved that the addition of NaOL reduced the electrostatic repulsion between cassiterite particles and enhanced hydrophobic attraction, leading to the mutual aggregation between cassiterite particles. The selective flocculation of NaOL facilitated the efficient separation of fine-grained cassiterite and calcite.

在十六烷基溴化吡啶分散体系下，通过微浮选实验、浊度测量、粒度分布分析、接触角测量、zeta电位测量、红外光谱分析和扩展derjaguin - landau - vervey - overbeek （DLVO）计算，研究了油酸钠（NaOL）在锡石和方解石浮选分离中的选择性絮凝机理。微浮选结果表明，与常规絮凝剂相比，NaOL的加入显著促进了锡石与方解石的浮选分离。浊度试验和粒度分布结果表明，NaOL能有效降低悬浮浊度，提高矿物粒度。NaOL的加入增加了锡石的接触角，改善了锡石的疏水性。Zeta电位测量证明，在pH值低于10.45的条件下，与NaOL相互作用后，锡石和方解石表面带正电荷。红外光谱分析表明，NaOL以化学吸附的形式作用于锡石和方解石表面。扩展DLVO理论证明，NaOL的加入降低了锡石颗粒之间的静电斥力，增强了疏水吸引力，导致锡石颗粒之间的相互聚集。NaOL的选择性絮凝有利于细粒锡石和方解石的有效分离。

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引用次数: 0

Systematic DEM parameter calibration for copper ore crushing 铜矿石破碎系统DEM参数标定

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-14 DOI: 10.1016/j.mineng.2026.110062

Xin Wang, Lei Sun, Zhiyong Gao, Yang Cao, Wei Sun, Miaoxiang Ai, Qiqiang Lin, Yi Qiao

The Discrete Element Method (DEM) is widely applied to analyze the mechanical behavior and breakage characteristics of ores and rock-like materials. The accuracy of DEM simulations, however, depends critically on the proper calibration of model parameters. In this study, a systematic calibration framework for copper ore was developed by combining laboratory testing, numerical simulations, and a response surface methodology based on the angle of repose (AoR). The calibrated parameter set includes both the fundamental physical properties required for the DEM contact model and the key parameters used in constructing Bonded-Particle Models (BPM) and Particle Replacement Models (PRM). Validation through uniaxial compression and single-particle impact tests confirms that the calibrated parameters accurately captured the material’s strength and fragmentation behavior. The results indicated that the proposed calibration approach yields consistent parameters and is suitable for modeling copper ore comminution. This framework provides a practical reference for subsequent research and engineering applications in mineral processing.

离散元法（DEM）被广泛应用于分析矿石和类岩材料的力学行为和破碎特性。然而，DEM模拟的准确性主要取决于模型参数的正确校准。本文采用室内试验、数值模拟和基于休止角的响应面方法相结合的方法，建立了铜矿石的系统标定框架。校准后的参数集既包括DEM接触模型所需的基本物理性质，也包括构建键合粒子模型（BPM）和粒子替换模型（PRM）所用的关键参数。通过单轴压缩和单颗粒冲击试验的验证证实，校准参数准确地捕获了材料的强度和破碎行为。结果表明，所提出的标定方法参数一致，适用于铜矿石粉碎过程的建模。该框架为后续的选矿研究和工程应用提供了实用参考。

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引用次数: 0

From molecular adsorption to process design: selective flotation of bastnaesite and monazite with phthalic acid as collector 从分子吸附到工艺设计：以邻苯二甲酸为捕收剂选择性浮选氟碳铈矿和独居石

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-12 DOI: 10.1016/j.mineng.2026.110063

Maoyuan Wang , Wenbo Li , Yuexin Han , Xiaolong Zhang , Shumin Zhang

The efficient separation of fine-grained bastnaesite–monazite intergrowths remains a persistent challenge in the beneficiation of mixed rare-earth ores. In this study, we integrate micro-flotation with surface spectroscopy (FT-IR/XPS) and density functional theory (DFT) calculations to elucidate reagent–mineral interactions and to develop a selective flotation regime. Phthalic acid (PA) is identified as an effective selective collector, exhibiting substantially stronger interaction with bastnaesite than with monazite. Under weakly acidic conditions (pH ≈ 6.0) with aluminum sulfate as a conditioning reagent, closed-circuit flotation yields a bastnaesite concentrate grading 67.42 % REO at 89.15 % REO recovery, corresponding to ∼90.01 % bastnaesite purity. These results establish practical operating parameters for selective bastnaesite flotation from monazite and provide mechanistically informed guidance for collector selection in complex rare-earth flotation systems.

细粒氟碳铈-独居石共生体的高效分离是混合稀土矿选矿中一个长期存在的难题。在这项研究中，我们将微浮选与表面光谱（FT-IR/XPS）和密度泛函理论（DFT）计算相结合，以阐明试剂与矿物的相互作用，并建立一种选择性浮选制度。邻苯二甲酸（PA）被认为是一种有效的选择性捕收剂，与氟碳铈矿的相互作用明显强于与独居石的相互作用。在弱酸性条件下（pH≈6.0），以硫酸铝为调理剂，闭路浮选得到的氟碳铈矿精矿REO含量为67.42%，REO回收率为89.15%，对应的氟碳铈矿纯度为~ 90.01%。这些结果建立了从独居石中选择性浮选氟碳铈矿的实用操作参数，并为复杂稀土浮选系统中捕收剂的选择提供了力学指导。

引用次数: 0

Micro-CT imaging of bubble clusters: Extending single mineral observations to a real ore system 气泡团簇的微ct成像：将单一矿物观察扩展到真实的矿石系统

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-12 DOI: 10.1016/j.mineng.2026.110071

Sayed Janishar Anzoom, Ghislain Bournival, Seher Ata

In a fluidized-bed flotation system, hydrophobic particles are often buoyed in the pulp phase as bubble clusters. However, the impact of these clusters on the flotation process is not thoroughly understood due to a lack of characterization techniques to study their properties. A technique for studying the properties of clusters using micro-computed tomography (micro-CT) was established with single mineral particles (Anzoom et al., 2024). This study aims to extend this approach to real ores, such as copper ore, where the particles consist of different minerals, to gain a more comprehensive understanding of the properties of bubble clusters. The approach integrates micro-CT, X-ray, diffraction (XRD) and scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDS) to perform three-dimensional quantitative characterization of bubble clusters and visualize the internal structure and distribution of different mineral phases present in the particles. Two methods were used to generate clusters: one involving a hand-shaking experiment and another using a fluidised-bed flotation system. Results revealed that cluster characteristics vary depending on their formation method and the particle size distribution. Particle-particle aggregation was more pronounced in the cluster formed using the hand-shaking experiment. The hydrophobic chalcopyrite mineral phase was observed attaching to bubbles, while gangue minerals were engulfed within particles transported by the bubble clusters. While this study focuses on copper ore, which contains a high concentration of chalcopyrite, the method is applicable to studying bubble clusters with any mineral particles.

在流化床浮选系统中，疏水颗粒通常以气泡团簇的形式浮在矿浆相中。然而，由于缺乏表征技术来研究其性质，这些团簇对浮选过程的影响尚未完全了解。一种利用微计算机断层扫描（micro-CT）研究单个矿物颗粒簇性质的技术被建立起来（Anzoom et al., 2024）。本研究旨在将这种方法扩展到真实的矿石，如铜矿石，其中颗粒由不同的矿物组成，以获得对气泡团簇性质的更全面的了解。该方法将微ct、x射线、衍射（XRD）、扫描电子显微镜与能量色散x射线能谱（SEM-EDS）相结合，对气泡团簇进行三维定量表征，并可视化颗粒中不同矿物相的内部结构和分布。研究人员使用了两种方法来生成簇：一种是握手实验，另一种是流化床浮选系统。结果表明，聚类特征随其形成方式和粒径分布的不同而不同。在握手实验形成的团簇中，粒子-粒子聚集更为明显。观察到疏水黄铜矿矿物相附着在气泡上，而脉石矿物被气泡团运输的颗粒吞没。该方法适用于任何矿物颗粒的气泡团簇研究，但研究对象为铜矿石，其中黄铜矿含量较高。

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引用次数: 0

Deep learning-based bubble characterization and growth model refinement in gas–solid separation fluidized beds 基于深度学习的气固分离流化床气泡表征及生长模型改进

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-09 DOI: 10.1016/j.mineng.2026.110070

Song Wang , Yanhong Fu , Yandaizi Zhou , Liang Dong , Tielin Wang , Dongsheng He

In gas–solid fluidized beds, distributor-governed bubble dynamics critically govern system efficiency and particle separation. However, traditional bubble identification methods based on thresholding and edge detection often struggle with accuracy due to their reliance on low-level image features. This study applies deep learning-based image semantic segmentation to quantitatively analyze bubble distribution and evolution in gas–solid fluidized beds equipped with conventional perforated distributors (CPD) or micro-orifice distributors (MOD). The deep learning method used in this study achieved 98.40% pixel accuracy and 83.92% Mean Intersection over Union (MIoU) in bubble image segmentation. Experimental results showed that MOD reduced average bubble diameter by 36–55% and lowered bed density standard deviation by 60.76% compared to CPD fluidized beds. Analysis of bubble coalescence mechanisms indicates that MOD suppresses coalescence rates through high-density micro-jetting flows, significantly improving bed density stability. Time-domain and frequency-domain analyses of bed pressure drop signals reveals that the MOD fluidized bed exhibits weaker periodic oscillations at the influence of small bubbles. The minimum standard deviation of bed density reached 0.031 g/cm³, compared to 0.079 g/cm³ for the CPD fluidized bed. A region-specific bubble growth model was developed by introducing parameter k corrections to traditional models, distinguishing between the near-distributor and upper bed regions, with prediction errors within 30%. These results provide a theoretical basis for the zonal optimization of gas–solid separation fluidized beds.

在气固流化床中，分布器控制的气泡动力学对系统效率和颗粒分离起着关键的控制作用。然而，传统的基于阈值和边缘检测的气泡识别方法由于依赖于低层次的图像特征，往往难以准确识别。本研究采用基于深度学习的图像语义分割方法，定量分析了传统穿孔分布器（CPD）和微孔分布器（MOD）气固流化床中气泡的分布和演化。本研究使用的深度学习方法在气泡图像分割中，像素精度达到98.40%,MIoU （Mean Intersection over Union）达到83.92%。实验结果表明，与CPD流化床相比，MOD可使平均气泡直径减小36-55%，使床层密度标准差降低60.76%。气泡聚结机理分析表明，MOD通过高密度微喷流抑制了气泡聚结速率，显著提高了床层密度稳定性。对床层压降信号的时域和频域分析表明，在小气泡影响下，MOD流化床表现出较弱的周期振荡。床层密度的最小标准偏差达到0.031 g/cm3，而CPD流化床的最小标准偏差为0.079 g/cm3。通过对传统模型引入参数k校正，建立了区域性气泡生长模型，区分了近分布区和上层区，预测误差在30%以内。研究结果为气固分离流化床分区优化提供了理论依据。

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引用次数: 0

Recovery of rare earth elements using phosphorylated yeast: A practical application from mineral ion-rich Tsukahara hot spring water 利用磷酸化酵母回收稀土元素：从富含矿物离子的土原温泉水中提取稀土元素的实际应用

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-09 DOI: 10.1016/j.mineng.2026.110061

Maya Kihara, Moena Amano, Yoshihiro Ojima, Koichi Igarashi, Masayuki Azuma

An efficient, low-impact technology is needed to recover rare earth elements (REEs) from the environment. We previously showed that phosphorylated yeast (P-yeast) effectively adsorbs REEs in acidic solutions. This study evaluates P-yeast for REE recovery from Tsukahara hot spring water, which has high mineral ion concentrations. This hot spring water contains higher levels of base metals and REEs than others. By adjusting the pH, we achieved nearly 100 % removal of Al and Fe, leaving 43 %–67 % of REEs in the supernatant. Remarkably, P-yeast adsorbed almost all REEs, with an Mg adsorption ratio of about 8.6 %, while removing Mg effectively. REEs were desorbed using 1.0 M HCl, achieving a 31 % recovery ratio after three desorption cycles for all seven REEs. Overall, P-yeast is an effective method for REE recovery, showcasing the potential of biosorbents.

从环境中回收稀土元素需要一种高效、低影响的技术。我们之前发现磷酸化酵母（p -酵母）在酸性溶液中有效吸附稀土。本研究评价了p -酵母菌对高矿质离子含量的土原温泉水中稀土元素的回收效果。这里的温泉比其他温泉含有更多的基本金属和稀土元素。通过调整pH，我们实现了几乎100%的Al和Fe的去除，在上清中留下43% - 67%的ree。p -酵母菌对稀土元素几乎全部吸附，对Mg的吸附率约为8.6%，对Mg的去除效果较好。用1.0 M HCl解吸7种稀土元素，经过3个解吸循环，7种稀土元素的回收率均达到31%。综上所述，p -酵母是一种有效的稀土回收方法，显示了生物吸附剂的潜力。

引用次数: 0

Synergistic strategy for enhanced bio-oxidation of refractory gold concentrate with high arsenic and sulfur: ferric oxidation with mixed organic nutrients supplementation 强化高砷高硫难处理金精矿生物氧化的协同策略：铁氧化与混合有机营养物的补充

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-09 DOI: 10.1016/j.mineng.2025.110050

Shiqi Zhang , Hongying Yang , Linlin Tong , Zhenan Jin , Pengcheng Ma

The bio-oxidation of refractory gold concentrates with high arsenic and sulfur contents is inefficient, due to its slow reaction kinetics and the arsenic toxicity. To address this limitation, present study proposed a novel strategy involving ferric (Fe³⁺) pre-oxidation synergistically combined with the simultaneous addition of hydrolyzed rice husk (HRH) and urea. Chemical and interfacial analyses revealed that ferric oxidation removed 13.4 ± 1.4 % of arsenic (As) from the concentrate and disrupted the physicochemical structures of mineral surfaces (pyrite and arsenopyrite), thereby creating favorable conditions for subsequent microbial growth, adsorption, and mineral dissolution. Bio-oxidation analysis demonstrated that urea supplementation significantly stimulated the growth of iron-oxidizing microorganisms, predominantly Leptospirillum spp., while HRH addition promoted the proliferation of the mixotrophic Sulfobacillus spp. and enhanced its adsorption capacity by improving mineral surface hydrophilicity. The combined effect of HRH and urea effectively optimized the microbial community structure, increasing species diversity and evenness, which in turn enhanced Fe³⁺/Fe²⁺ cycling and the metabolism of the sulfur passivation layer. This effectively enhanced the reaction kinetics of the sulfide minerals. Consequently, this synergistic strategy improved the bio-oxidation efficiencies of Fe and S by 1.17-fold and 1.42-fold, respectively, compared with conventional bio-oxidation, and elevated the cyanide leaching levels of Au and Ag to 97.3 ± 0.5 % and 93.6 ± 0.8 % (31.0 % and 30.7 % improvements). This research provides a novel technical approach and theoretical foundation for the efficient and environmentally friendly processing of complex refractory gold ores.

高砷高硫难处理金精矿由于反应动力学慢，且具有砷毒性，生物氧化效率低。为了解决这一问题，本研究提出了一种新的策略，即铁（Fe3+）预氧化与水解稻壳（HRH）和尿素同时添加协同作用。化学和界面分析表明，铁氧化从精矿中去除了13.4±1.4%的砷（As），破坏了矿物表面（黄铁矿和毒砂）的物理化学结构，从而为随后的微生物生长、吸附和矿物溶解创造了有利条件。生物氧化分析表明，尿素的添加显著刺激了铁氧化微生物的生长，主要是钩端螺旋体，而HRH的添加促进了混合营养型硫杆菌的增殖，并通过改善矿物表面亲水性来增强其吸附能力。HRH和尿素的联合作用有效地优化了微生物群落结构，增加了物种多样性和均匀性，从而促进了Fe3+/Fe2+的循环和硫钝化层的代谢。这有效地提高了硫化矿物的反应动力学。结果表明，与传统生物氧化相比，该协同策略将Fe和S的生物氧化效率分别提高了1.17倍和1.42倍，并将Au和Ag的氰化浸出水平提高到97.3±0.5%和93.6±0.8%（分别提高31.0%和30.7%）。本研究为复杂难处理金矿石的高效、环保处理提供了新的技术途径和理论基础。

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引用次数: 0

Assessing the potential of phosphate mine tailings through advanced characterization and spatial modelling 基于先进表征和空间模型的磷矿尾矿潜力评价

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-09 DOI: 10.1016/j.mineng.2025.110046

Kaoutar Erraihani , Yassine Taha , Noaman Bouhlali , Mustapha El Ghorfi , Manar Derhy , Mostafa Benzaazoua , Yassine Ait-Khouia

Phosphate mine tailings are often treated as waste, even though they contain significant residual phosphorus (P₂O₅) and rare earth elements (REEs). Reprocessing these tailings presents a promising opportunity for recovering critical raw materials (CRMs) to support the green energy transition and sustainable fertilizer production. Phosphate tailings storage facilities (TSFs) occupy large land areas, pose long-term geotechnical risks and lock up critical raw materials. This study presents an integrated approach to evaluate the residual value of phosphorus and rare earth elements lost within the phosphate tailings from Youssoufia site (Morocco) by combining strategic drill cores sampling, comprehensive physical, chemical and mineralogical characterization and 3D modelling. The chemical analysis results were compiled into a database, which was then geo-referenced and integrated to develop a 3D block model using DATAMINE StudioRM software. On average, the tailings contain between 10 and 16 wt% P₂O₅ along with approximately 250 ppm of REEs. Around 50% of francolite particles are free, indicating high recovery potential via flotation and demonstrated a positive correlation between P₂O₅ and REEs. 3D modelling identified spatially enriched zones for targeted re-mining. Results demonstrate that combining drilling, advanced mineralogy and 3D modelling transforms waste into a secondary resource a key step toward circular phosphate supply strategies.

磷矿尾矿虽然含有大量的磷（P2O5）和稀土元素（ree），但通常被当作废物处理。这些尾矿的后处理为回收关键原料（crm）提供了一个有希望的机会，以支持绿色能源转型和可持续肥料生产。磷酸盐尾矿储存设施（TSFs）占地面积大，长期存在岩土风险，并锁定了关键原材料。本研究提出了一种综合方法，通过结合战略岩心取样、综合物理、化学和矿物学表征以及3D建模，来评估摩洛哥Youssoufia遗址磷酸盐尾矿中磷和稀土元素的残值。化学分析结果被编译到数据库中，然后使用DATAMINE StudioRM软件进行地理参考和集成，以开发3D块体模型。平均而言，尾矿含有10%至16%的P2O5以及大约250 ppm的稀土。游离矿颗粒约50%，表明浮选回收率高，且P2O5与稀土元素呈正相关。三维建模确定了有针对性再采矿的空间富集区。结果表明，将钻井、先进矿物学和3D建模相结合，可以将废物转化为二次资源，这是实现循环磷酸盐供应策略的关键一步。

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引用次数: 0

Exploring electric arc furnace dust as a new source of rare earth elements: comparative leaching strategies and two-step selective precipitation 探索电弧炉粉尘作为稀土元素的新来源：比较浸出策略和两步选择性沉淀

IF 5 2区工程技术 Q1 ENGINEERING, CHEMICAL

Minerals Engineering

Pub Date : 2026-01-08 DOI: 10.1016/j.mineng.2026.110060

Seyedeh Neda Mousavi , Seyyed Mohammad Mousavi , Francesca Beolchini

The recovery of rare earth elements (REEs) from electric arc furnace dust (EAFD) was investigated through a post-bioleaching process involving leaching and selective precipitation. Due to the low extraction efficiency in the bioleaching process, bio and chemical leaching were performed on the EAFD bioleaching residues using metabolites from Yarrowia lipolytica and Acidithiobacillus thiooxidans, as well as citric and sulfuric acids. Sulfuric acid was the most effective leaching agent, achieving a REEs concentration of 119.6 mg/l under optimized conditions (1 M, 6 h, 30 °C). Precipitation was then employed to recover REEs using oxalic acid and disodium carbonate. Oxalic acid precipitated cerium selectively but removed a significant amount of manganese, limiting its selectivity. A two-step precipitation strategy using disodium carbonate was developed to enhance the purity of REEs. The first step efficiently removed iron and a portion of manganese, while the second step focused on REEs recovery. In this situation, the enrichment factor of the total REEs content reached 148. Speciation modeling with MEDUSA software supported experimental findings and guided the process. This integrated approach demonstrates the feasibility of post-bioleaching REEs recovery from the EAFD, offering insights into process design and metal separation strategies.

采用浸出-选择性沉淀的后生物浸出工艺对电弧炉粉尘中稀土元素的回收进行了研究。由于生物浸出过程中萃取效率较低，利用多脂耶氏杆菌和酸性硫氧化硫杆菌的代谢物以及柠檬酸和硫酸对EAFD生物浸出渣进行了生物浸出和化学浸出。硫酸是最有效的浸出剂，在优化条件下（1m, 6 h, 30°C），稀土浓度达到119.6 mg/l。然后用草酸和碳酸二钠沉淀法回收稀土。草酸选择性地沉淀铈，但去除大量的锰，限制了其选择性。采用碳酸二钠两步沉淀法提高稀土元素的纯度。第一步有效地去除了铁和部分锰，而第二步侧重于稀土的回收。在这种情况下，稀土元素的富集系数达到148。利用MEDUSA软件进行物种形成建模，支持实验结果并指导过程。这种综合方法证明了从EAFD中回收生物浸出后稀土元素的可行性，为工艺设计和金属分离策略提供了见解。

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引用次数: 0