Open Access Article
Rajiv Ranjan Srivastava
ab and
Sadia Ilyas
*ab
aProcess Metallurgy, Minerals and Metallurgical Engineering Division, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå 97187, Sweden. E-mail: sadia.ilyas@ltu.se
bWallenberg Initiative Materials Science for Sustainability (WISE), Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå 97187, Sweden
First published on 7th November 2025
Traditionally, germanium has been a critical dopant in the silica core of fiber optics, facilitating high-speed internet and data transfer, and functions as a semiconductor in N-type diodes. Over the past decade, its importance has greatly expanded to multi-junction solar cells, where it serves as a substrate, providing a foundation for other semiconductor layers. Despite rising demands from renewable energy and semiconductor industries, germanium has no primary ores and is found only as a companion element with others. It is primarily sourced as a by-product from industrial residues like zinc refinery residues (ZRR) and coal burnt fly-ash (CFA), with concentrations ranging between 0.04–0.5% and 0.05–1.7%, respectively. Given the scarcity of germanium, its recovery through recycling of electronic waste is also gaining interest. However, the recovery process from both primary and secondary sources is complex, involving several key steps to ensure efficient extraction. Therefore, a comprehensive understanding of these processes, along with thermodynamic strategies applied to different materials, is essential. Consequently, this review covers germanium recovery from major primary and secondary resources, involving leaching, solvent extraction, ion exchange, and precipitation methods, with a focus on the underlying thermodynamics. Additionally, the environmental impacts of different extraction schemes are assessed using life-cycle analysis, revealing the global warming potential (GWP) of 852 kg CO2-eq for ZRR and 698 kg CO2-eq for CFA. In contrast, recycled germanium exhibits a much lower GWP of 163 kg CO2-eq, highlighting the importance of recycling efforts in advancing Sustainable Development Goals 7, 12, and 13.
Green foundation1. We explore the resource recovery of germanium, a critical raw material essential for sustainable energy technologies such as solar cells and semiconductors. The focus is on processing the industrial residues from zinc refineries, coal-fired power plants, and electronic waste. The study therefore aligns with the United Nations Sustainable Development Goals 7 (affordable and clean energy), 12 (responsible consumption and production), and 13 (climate action).2. The strategies presented for efficient germanium recovery from by-products and waste materials align with green chemistry principles by reducing dependency on primary resources and minimizing environmental impacts. Key advancements in mass transfer techniques—solid–liquid, liquid–liquid, and liquid–solid—are also discussed within this context. Moreover, a comparative life-cycle assessment demonstrates that recycling electronic waste significantly reduces environmental burdens, with a notable decrease in global warming potential to 163 kg CO2-equivalent. 3. A detailed long-term sustainability model for germanium supply is discussed along with the static flows and stocks of germanium, emphasizing improved recycling practices to ensure a reliable supply for renewable energy applications. This model supports the transition to a low-carbon economy by promoting resource efficiency and circularity of critical raw materials. |
| Application in renewable energy | Description of the key role of germanium |
|---|---|
| Photovoltaic (PV) cells | Germanium is a crucial material in the development of high-efficiency PV (solar) cells. It is commonly used as the base substrate, which is more efficient than traditional silicon-based cells. These advanced solar cells are particularly important in space applications and for concentrated solar power systems. |
| Multi-junction solar cells | In addition to its use in single-junction PV cells, germanium is widely used in multi-junction solar cells, which can convert sunlight into electricity more efficiently by stacking multiple layers of different materials, each optimized to absorb different wavelengths of light. This technology is essential in reaching high efficiency levels needed for sustainable energy generation, particularly in solar power. |
| Light emitting diodes (LEDs) and optoelectronics | Germanium is used in optoelectronic devices such as LEDs, lasers, and photodetectors, which are important components in various renewable energy systems, such as solar energy harvesters and light-based communication systems. LEDs are energy-efficient lighting solutions that reduce electricity consumption, making them a sustainable alternative to traditional incandescent and fluorescent bulbs. Furthermore, the use of germanium in optoelectronics helps improve energy efficiency in electronic devices, which is crucial for overall energy conservation. |
| Energy-efficient electronics | Germanium is also employed in the electronics used in renewable energy systems. For example, in devices that regulate the flow of electricity from renewable sources (like wind turbines and solar panels), Ge-based semiconductors can improve the energy efficiency and performance of these systems. Low power consumption and high speed make them ideal for smart grids, energy management, and other sustainable energy applications. |
| Carbon footprint reduction | Although germanium extraction can have environmental impacts, its role in improving the efficiency of renewable energy technologies indirectly contributes to reducing the carbon footprint. More efficient solar panels, LEDs, and electronics that use germanium require less material and energy to operate, reducing the overall environmental impact compared to less efficient technologies. |
Germanium is a key enabler of sustainable energy technologies, both as a performance-enhancing dopant and as a functional material in high-efficiency energy systems. One of the most prominent applications is in multi-junction photovoltaic (PV) cells,9,10 in particular the PV cells used in space-based solar power systems and terrestrial concentrator photovoltaics, where it often serves as the bottom substrate layer due to its compatible lattice constant and superior electron mobility.11,12 These advanced PVs can achieve conversion efficiencies exceeding 40%, far surpassing traditional silicon-based panels, and are central to the long-term adoption of high-efficiency, low-emission renewable energy technologies.9–12 Additionally, germanium's role is also rapidly expanding in thin-film PV technologies, especially in amorphous silicon–germanium (a-SiGe) tandem cells, offering flexible, light weight, and cost-effective alternatives for portable energy systems.13,14
In the field of energy-efficient communication infrastructure, germanium is a core constituent of fiber-optic technologies.5–8 Its most commercially significant derivative, germanium tetrachloride (GeCl4), is used in doping silica to form the refractive core of optical fibers. These fibers enable the high-speed transmission of data with minimal loss, forming the backbone of modern internet and telecommunication networks. The growth in the integration of smart grids, decentralized renewable energy systems, and remote digital control platforms further accelerates demand for such infrastructure. With the global expansion of data centers, 5G networks, and the Internet of Things (IoT), the consumption of optical fibers and consequently GeCl4 is projected to increase nearly eightfold by 2030.15 Thus, germanium plays an indirect yet essential role in improving energy efficiency through next-generation communication technologies.
Despite this wide array of applications, germanium faces a profound and worsening supply–demand imbalance, driven by increasing consumption in both traditional and emerging technologies. Germanium's average crustal abundance is only 1.3 to 1.6 ppm,16 making it one of the rarer technological elements. It is almost absent in independent mineral deposits,17 and it mainly co-exists with zinc sulfide ore (i.e., sphalerite),18 which accounts for about 1/3rd of the global recoverable quantity of germanium (i.e., ∼38 kt).19 Currently, about 100 t per annum of germanium is sourced from refining residues,20 while the remaining demand is met by coal fly ash with a small contribution derived from the recycling of waste materials.21 Additionally, germanium reserves are also geopolitically concentrated, creating vulnerabilities in international supply chains. China alone holds 41% of global germanium reserves, while Russia controls nearly 10% of the world's reserves. In contrast, Europe has virtually no significant domestic reserves and is heavily reliant on imports. This limited supply, coupled with a low recycling rate, results in the growing disparity between supply and demand due to the current supply risk of 8.1 out of 10.1 Consequently, germanium has been designated as a critical metal by both the United States, which lists it among 50 essential commodities,22 and the European Union's new list of 34 critical raw minerals.23 In response, the European Critical Raw Materials Act has set a 2030 target that at least 15% of the EU's annual germanium consumption be met through domestic recycling, a considerable increase from the current 2% recycling level.24,25
Against this backdrop of rising demand and constrained supply, efforts to enhance germanium recovery from both industrial residues and electronic waste have become increasingly important. Currently, the extraction of germanium is performed using both pyrometallurgical and hydrometallurgical techniques.26 The pyrometallurgical operations rely on differences in boiling points and typically involve processes like smelting, sintering, and high-temperature gas-phase reactions.27–29 Hydrometallurgical techniques, on the other hand, depend on factors such as metal solubility, ionic radius, charge density, reduction potential, and favorable pH. In hydrometallurgical extraction, Ge-bearing materials are often subjected to leaching with mineral acids or alkaline solutions. Subsequently, to isolate germanium from the complex multi-metal-leached solutions, various separation steps are employed, such as tannin precipitation,30 ferric hydroxide precipitation,31 organic precipitation,32 ion exchange,33 and solvent extraction.34–36 Fig. 1b presents a bibliometric analysis of research over the past two decades, clearly indicating a shift from pyrometallurgical to hydrometallurgical approaches. Despite this transition, volatilization studies remain prominent, as this step, though technically challenging, is often essential for mobilizing germanium from industrial residues, enabling subsequent hydrometallurgical processing. The decline in roasting-related research can be attributed to the established zinc extraction processes, where zinc is the primary target and Ge is a secondary by-product. In contrast, the growth in hydrometallurgical studies is largely driven by its lower energy requirements, reduced CO2 and SO2 emissions, and its effectiveness for low-grade and polymetallic feedstocks, where Ge often occurs in trace amounts. Recent advances in separation and purification technologies, such as solvent extraction, have further increased interest in hydrometallurgy. The notable surge in hydrometallurgical research post-2015 coincides with the Paris Climate Agreement, highlighting a broader move towards more sustainable extraction technologies.
Although germanium is typically recovered in small quantities, it remains critical and irreplaceable in a range of cutting-edge technologies, including fiber optics, solar cells, and semiconductors.37 Therefore, a comprehensive understanding of Ge-extraction processes is crucial, not only to enhance the efficiency of current recovery methods but also to unlock newly identified resource streams like marine ore crusts in the Sea of Japan (up to 96 ppm Ge)38 and coal seams in the Donetsk Basin (up to 63 ppm Ge).39 Despite growing interest, recent review articles fall short of providing a holistic perspective on germanium extraction, often due to their reginal focus,15,19 limited descriptive discussion of leaching processes,26 inaccuracies in solution chemistry,15,40,41 insufficient coverage of extraction thermodynamics,42 and limited attention to coal-based resources.43 Henceforth, this review aims to fill these gaps by providing a detailed exploration of all aspects of germanium harnessing. Furthermore, it includes a vital discussion on environmental impacts of extraction methods, with life-cycle assessments (LCA) and economic analyses of processes, involving zinc refinery residues (ZRR), coal burning residue (CBR), and electronic (e-)waste.
The review begins by addressing the thermodynamic challenges associated with Ge extraction, including thermal behavior, phase stability of its compounds, aqueous speciation, and dissolution properties. These are critical factors for understanding the chemical behavior of germanium. Building on this foundation, the review then explores extraction and recovery methods across diverse feedstocks, alongside separation techniques such as solvent and solid-phase extraction. Moving from process-level considerations to system-level implications, the review evaluates the environmental and energy performance through LCA. This serves as a basis for developing long-term sustainability models that incorporate circular economy principles and recycling of waste materials. Furthermore, the key findings are summarized, and future research directions are proposed based on the insights gained throughout this review. Overall, this review is framed within the broader context of the United Nations Sustainable Development Goals (UN-SDGs).44 Specifically, these are: Goal 7, which focuses on enhancing energy efficiency; Goal 12, which focuses on responsible use and circular material flows with waste minimization; and Goal 13, which promotes mitigation of environmental impacts through sustainable resource management. By integrating technological, environmental, and economic perspectives, this review highlights the essential role of urban mining and recycling innovations in advancing both resource resilience and climate objectives.
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| Fig. 2 Phase diagrams of germanium in the presence of [a] sulfur and [b] CO at different temperatures. [c] Mechanism of germanium migration and evolution during pyrolysis of Ge-containing lignite coal samples from Inner Mongolia coal deposits (with 197 ppm Ge). [d] Diagrams showing the transformation and condensation enrichment mechanism of different germanium species (adapted from ref. 53 with permission from Elsevier, Sep. Purif. Technol., 2025, 354, 128915, Copyright 2025). [e] Pressure versus temperature diagram, showing the stability of hexagonal and tetragonal GeO2 (reproduced from ref. 57 published under open license with J-STAGE, Journal of the Mass Spectrometry Society of Japan, 1981, 29(3), 249–255). [f] Distribution fraction of Ge species in aqueous solution as a function of pH, while total Ge concentration = 10 mmol at standard temperature (25 °C) and pressure (1 atmosphere). | ||
GeO2 + H2O ↔ Ge(OH)4 log K = −5.02 ± 0.13
| (1) |
![]() | (2) |
![]() | (3) |
Furthermore, the dissociation of Ge(OH)4 into anionic species can be given as follows:
| Ge(OH)4 ↔ GeO(OH)3− + H+ pKa1 = 9.32 | (4) |
| GeO(OH)3− ↔ GeO2(OH)22− + H+ pKa2 = 12.5 | (5) |
Conversely, the cationic species of germanium are expected to occur in highly acidic solutions of concentration above 4 mol L−1.65 The accuracy of stability values for these cationic species is debatable;19,64 however, Marchon et al.66 proposed a speciation diagram by considering Ge4+ with reference to the values reported by Nazarenko,67 as shown in Fig. 2f. Subsequently, studies using advanced analytical instruments have rejected the presence of charged hydroxide species above a pH value of 0.3,58,68 and therefore, within the pH range of 1.0 to 8.0, the major species is Ge(OH)4, which transitions to anionic species of GeO(OH)3− (or, H3GeO4−) and GeO2(OH)22− (or, H2GeO42−) within the alkaline pH range. Thus, the formation of Ge species as a function of pH can be summarized as follows:
![]() | (6) |
The transition between these species governs the selection of extractants and precipitation agents, or determines the ion-exchange conditions during metallurgical processing. Furthermore, under specific media, germanium forms unique coordination complexes, such as H2GeF6 in concentrated HF (≥40%),69 GeCl4 in concentrated HCl (≥8.0 mol L−1),70 and Ge(OH)2(Ox)22− in oxalic acid (pH 1.0–6.0).58 Understanding the thermodynamic conditions under which these complexes are formed is essential for selective leaching and solvent extraction strategies, especially under green chemistry frameworks where organic acids or halide-free systems are preferred.
| GeO2 + SiO2 + 2H2SO4 → Ge(SO4)2 + SiO2·H2O(polymerized) | (7) |
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| Fig. 3 Illustration of different processing flow diagrams for germanium extraction from industrial residues of [a] zinc plant mainly through sphalerite ore and [b] coal-burnt fly ash, and [c] via recycling by urban mining end-of-life materials (modified from ref. 26 with permission from Elsevier, J. Clean. Prod., 2021, 294, 126217, Copyright 2021). | ||
When the ZRR contains 10% SiO2, only 57% of the germanium is leached with hot H2SO4.73 To overcome this issue, it has been reported that HF leaching dissolves silica to freely mobilize germanium into the solution.74,75 Silica-gel formation can be controlled by pressure leaching. Jiang et al.76 reported a 10% improvement in leaching yield of germanium (efficiency 99.7%) in comparison with that of ambient leaching (efficiency 89.5%) when secondary ZnO was subjected to a pressure oxidative leaching process. These reports clearly showed that germanium dispersed in different minerals like wurtzite and galena could be liberated through breaking the mineral sulfide structure by pressure oxidation, which is not possible during ambient leaching without introducing a highly oxidative environment. However, loss of Ge cannot be due to its hydrolytic precipitation along with iron and co-adsorption onto the precipitate surface.31 In alternative approaches, additives like Ca(NO3)2, H2O2, NaClO, and MnO2 have been introduced into the Ge-recovery system,77,78 revealing the effectiveness of nitrate in enhancing germanium leaching while calcium in sulfate solutions forms columnar gypsum that led to smooth filtration.77 The leaching of germanium via chlorination with HCl has also been explored where silica is controlled in the leached solution, which subsequently undergoes distillation and captures GeCl4 of low boiling point (i.e., 83.1 °C),78 although simultaneous hydrolysis of GeCl4 takes place to revert germanium to its GeO2 form at low acid concentration and low temperature. The reactions can be understood as follows.79
In the presence of concentrated HCl:
| GeO2 + 4HCl → GeCl4 + 2H2O | (8) |
In the presence of diluted HCl at 0 °C:
| GeCl4 + 2H2O → GeO2 + 4HCl | (9) |
The HCl concentration is generally greater than 7.8 mol L−1 (preferably concentrated HCl is used), below which chlorination may not be completed, whereas a H2O
:
GeCl4 ratio of 1
:
3 has been suggested to inhibit the formation of Ge(OH)4.79 The purified GeO2 that is obtained via eqn (9) is then subjected to hydrogen reduction at 650 °C for 5–8 h to metallize germanium through eqn (10) and (11), during which Ge can be melted by raising the temperature to 1000 °C to recover O2-free Ge metal; however, the process requires re-melting, casting and zone-refining to yield highly pure semiconductor grade germanium (i.e., element of 6 N purity):80
| GeO2 + H2 → GeO + H2O | (10) |
| GeO + H2 → Ge0 + H2O | (11) |
Due to the disadvantages of low efficiency, prolonged processing, and high cost associated with the equipment for converting GeO2 → Ge0, direct H2 reduction of GeCl4 has been explored by following eqn (12), although this is also a very complex system. Vorotyntsev et al.81 and Kadomtseva et al.82 have shown that the adsorption of H2 molecules by GeCl4 vapor is followed by the formation of Ge0 with a lower activation energy (35 kJ mol−1) in the presence of a W-based catalyst when compared with the uncatalyzed reaction (48 kJ mol−1).83 On the other hand, Kornev et al.84 showed that the temperature greatly influences the reduction process when using a plasma-chemical reduction method. As can be seen from Fig. 4a, at a H2/GeCl4 ratio of 15, the condensed Ge is formed within the range of 1250–1500 K, while the compounds GeHCl3, GeH2Cl2, and GeH3Cl form within the range of 300–1580 K, 500–1580 K, and 760–1500 K, respectively:
| GeCl4 + H2 → Ge0 + 4HCl | (12) |
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| Fig. 4 [a] Equilibrium mole fractions of reaction products as a function of temperature for the ratio of GeCl4/H2 = 15, with a plasma pressure of 760 Torr (adapted from ref. 84 published under open use license with MDPI, Sci., 2024, 6(1), 1). [b] Thermogravimetric analysis curve for the reduction of Ge-bearing lignite coal, and [c] effect of roasting on Ge volatilization under the operating conditions of temperature, 1100 °C; air flow rate, 0.7 L min−1; heating rate, 8 °C min−1; and holding time, 180 min (adapted from ref. 99 published under open use license with MDPI, Materials, 2023, 16(15), 5374). | ||
Besides the use of mineral acids, organic acid has also been employed for Ge leaching, yielding 98.8% germanium in the leach liquor by using 110 g L−1 H2C2O4 at 40 °C,85 and ∼93% germanium using 100 g L−1 tartaric acid at a higher temperature of 80 °C.86 Improved leaching efficiency is achieved with oxalic acid and can be expressed as:87
| GeO2 + 2HC2O4− → [Ge(OH)2(C2O4)2]2− | (13) |
The addition of H2O2 (0.12 mol L−1) has also been suggested for efficiently dissolving insoluble Ge species like Ge0, GeS2, and GeS that somehow could not be oxidized properly during the roasting process of ZnS ore. The improved leaching yield of Ge can be highlighted through the following exothermic reactions:88
| GeS2 + 8H2O2 → GeO2 + 2SO42− + 4H+ + 6H2O | (14) |
| Ge + 2H2O2 → GeO2 + 2H2O | (15) |
| GeS + 4H2O2 → GeO + SO42− + 2H+ + 3H2O | (16) |
Iron leached into the oxalate solution can be quantitatively assessed by introducing an ultrasound-assisted iron powder replacement, which also reduces the loss of germanium by co-precipitation through optimizing the Fe[total]/Fe(III) mole ratio value at 6. In comparison with the oxalate precipitation wherein germanium losses occur due to co-precipitation/occlusion,88 the beneficial application of the ultrasound-assisted technique can be ascribed to the negative pressure created by ultrasonic cavitation in the liquid. This subsequently disrupts the liquid by producing many bubbles and generates shear forces that break the occluded particles to liberate the entrapped Ge. The reaction occurs as follows:
![]() | (17) |
The use of ultrasonic-assisted pickling has also been suggested for the removal of zinc, iron, magnesium, and arsenic impurities from the Ge–tannin residue under conditions of 0.2 mol L−1 H2SO4, pulp density 30%, pickling time 30 min, and temperature 40 °C.89 It was observed that an increase in acid concentration tends to result in loss of Ge, whereas the pickling behavior attributed to cavitation effects can destroy the packaging of particles and increase the contact area of solid–liquid interactions. In general, the use of ultrasonic-assisted leaching showed an improved leaching yield for Ge of about 3–5% compared with regular leaching (without ultrasonication).90
The formation of a refractory ferrite (ZnFe2O4) mineral phase has been commonly observed in zinc roasting, which hinders the leaching yield of germanium entrapped therein. To deal with these types of residues, two-step sulfuric acid leaching can be applied, first to leach out 92% zinc and second to leach out 94% copper, which yields a 300% enrichment of germanium in the residue.88 The subsequent leaching of the Ge-bearing residue in 70 g L−1 oxalic acid at 90 °C yielded 99% germanium in the leach liquor. In another study by Rao et al.,91 the acid-treated residue was leached in 1.0 mol L−1 NaOH at a pulp density of 5%, temperature of 80 °C, and time of 4 h, yielding ∼90% germanium although 33% lead and ∼70% silicon were present in the leach liquor as well. Alkali leaching of germanium can be expressed as follows:
| GeO2 + 2NaOH → Na2GeO3 + H2O | (18) |
An inability to control the co-dissolution of metals at a higher concentration clearly indicates the superiority of H2SO4–H2C2O4 leaching systems, wherein <2% of silicon dissolution occurs.45
The rapid depletion of high-germanium-content coal is a matter of concern, whereas low-grade coal remains unexploited owing to economic reasons;95,96 hence, coal combustion is a good way to enrich germanium via fly ash.97,98 Yang et al.99 studied reductive volatilization of Ge-bearing lignite that yielded 71
600 ppm germanium in fly ash as compared to an initial content of only 30 ppm. As per the results of thermogravimetric analysis shown in Fig. 4b, the weight loss of 26.23% up to 174.4 °C is accounted for by the evaporation of inherent moisture in the lignite. A sharp reduction in weight from 245.3 °C is attributed to the combustion of lignite carbon, while heating to above 668.6 °C results in the weight loss becoming more moderate at only 6.55% (accounting for only 7.20% of the total weight loss) due to the decomposition of carbonate and sulfate. At temperatures above 927 °C, the reduction process for GeO2 in coal (refer to Fig. 2b) can be written as follows:
| GeO2 + C → GeO + CO | (19) |
The reduction system significantly influences Ge volatilization and its subsequent enrichment (see Fig. 4c). When Ge-bearing coal is combusted in an open-door muffle furnace, the germanium concentration in the residual mass reached ∼517 ppm, while it was only 60 ppm and 30 ppm when the combustion was performed in a semi-closed and fully closed furnace, respectively. This disparity can be explained by the influence of oxygen availability on the redox environment. In an open system, the presence of oxygen suppresses the reductive conditions required for GeO2 conversion to volatile GeO (as shown in Fig. 2b), thereby favoring the formation of non-volatile GeO2 in the residual ash. As a result, germanium remains concentrated in the solid phase rather than volatilizing into the gas phase.
Because hexagonal GeO2 in fly ash is water-soluble,32,51 leaching experiments using deionized water and wastewater collected from different sections (i.e., gas cooling system, cooling chamber, and desulphurization scrubbing) of an integrated gasification combined cycle (IGCC) plant have been conducted. The highest leaching efficiency (84%) was achieved using deionized water at room temperature (25 °C).52 When increasing the temperature to 150 °C, the leaching efficiency could not be improved any further, which somehow departs from expectations based on thermodynamic eqn (2). However, when leaching was performed in the presence of air/O2,100 both the rate and selectivity of Ge extraction improved, with concentrations rising from 25 ppm to over 50 ppm across a temperature range of 25 °C to 90 °C over a 6 h period. Similarly, the water leaching of Puertollano IGCC fly ash at 90 °C yielded up to 80% Ge dissolution.48,101 This behavior can be attributed to the precipitation of iron oxyhydroxides at a greater rate in the presence of air/O2 and the oxidation of sulfur species to soluble sulfates, which facilitate germanium release from the IGCC fly ash.
Arroyo et al.101 used different lixiviants (other than water) such as H2SO4, HCl, CaO, and NaOH with the oxidant H2O2, and a variety of complexing agents (including oxalic acid, H2C2O4 and catechol, C6H6O2) for a comparative leaching study of germanium from Puertollano IGCC fly ash. The leaching order obtained was H2C2O4 > C6H6O2 > H2SO4 HCl > H2O > HCl > H2O2 > NaOH > CaO. The results demonstrated that efficient and rapid leaching can be achieved with oxalic acid (83% Ge in 2 h), which can be attributed to germanium forming anionic species (as shown in eqn (13)) while iron is precipitated as insoluble oxalate. On the other hand, the inhibited leaching with CaO can be ascribed to a greater concentration of dissolved salts hindering Ge dissolution from the fly ash particles.52,100
The use of H2SO4 resulted in poor leaching yields of below 10%,106 possibly due to germanium adsorption onto in situ precipitated silica,107 which comprises ∼96% of the weight fraction in optical fibers. This yield was greatly improved by adding 5 vol% HF into 0.1 mol L−1 H2SO4 solution, over a period of 3 h while leaching was performed at room temperature (25 °C) only, demonstrating how the behavior of silica influences Ge recycling.106 However, to avoid the use of HF in leaching processes, NaOH roasting was performed at 500 °C with a high NaOH-to-SiO2 mole ratio (up to 6). The roasted mass was subsequently leached with H2SO4 solutions, yielding >99% dissolution efficiency.108,109 This favorable leaching outcome is attributed to the formation of the anionic species H2GeO42− at pH values above 12.5 (refer to Fig. 2c). Lee et al.110 later replaced NaOH with Na2CO3, conducting roasting at 700 °C for just 1 h. This approach enabled complete germanium recovery (26 ppm) from optical fiber waste via HCl leaching, revealing the strong affinity of Na2CO3 for silica to form sodium silicate shown as follows in eqn (20):
| SiO2 + Na2CO3 → Na2SiO3 + CO2 | (20) |
However, the recycling of waste solar panels studied by Kuroiwa et al.111 showed that both HF and NaOH are required to destroy the silicate structure to liberate germanium from the panel surface. In an alternative approach, Rafiee et al.103 employed acetic acid for germanium leaching, achieving over 70% extraction from diode samples using 2.5 mol L−1 CH3COOH solution at 90 °C for 4 h. They disclosed that the organic acid leaching follows three different phases: (i) a diffusion-controlled stage during the initial 5 min, (ii) interfacial mass transfer during the intermediate stage, and (iii) product-layer control near the completion of the leaching process. For the diffusion-controlled region, the rate coefficients were determined to be 6.61 × 10−5, 6.94 × 10−5, and −6.87 × 10−5 at CH3COOH concentrations of 2.5 mol L−1, 5.0 mol L−1, and 7.5 mol L−1, respectively. The leaching reactions in acetic acid follow eqn (21)–(23):
| CH3COOH ↔ H+ + CH3COO− | (21) |
| GeO2 + 4CH3COO− + 4H+ → Ge(CH3COO)4 + 2H2O | (22) |
| GeO2 + 4H+ → Ge4+ + 2H2O | (23) |
Based on the literature survey, the leaching processes applied to the extraction of germanium from different primary and secondary resources are presented in Table S1. It summarizes the optimized conditions, Ge yield, and salient features of the studied hydrometallurgical processes.112–114
Germanium recovery via recycling waste photovoltaic panels (conducted following plastic removal) has been examined alongside the generation of hydrogen and magnesium phosphate fertilizer as by-products.115 Initially during this process, Ge-bearing PV scrap was treated with Mg scrap at 400 °C, while maintaining a heating rate of 15 °C min−1, to form Mg germanide and/or silicide.116 The reaction endpoint was monitored via pressure changes, and after the system returned to its initial pressure value, the heating was stopped and the sample retrieved from the furnace. The resulting magnesium germanide and/or magnesium silicide (see eqn (24)), was then hydrolyzed with 25 wt% H3PO4 at ambient temperature to leach germanium (see eqn (25)):
| 2Mg(s) + Ge/Si(s) → Mg2Ge/Si(s) | (24) |
| Mg2Ge/Si(s) + H3PO4 → Mg(HPO4)(aq) + (Ge/Si)nH(2n+2) | (25) |
Subsequently using a low-vacuum phosphate reduction process, hydrogen gas and magnesium phosphate fertilizer were generated as valuable by-products.117 Thermodynamic analysis of the process indicated the decomposition of the phosphate reductant into products such as Na4P2O7, Na5P3O10, PH3, O2, and H2. Depending on the temperature zones within the reactor, three distinct morphological and elemental phases involving Ge, P, and O were observed, aligning with the reaction order models for phosphate-mediated reduction. Stage I, occurring in the temperature range of 500–673 K, mainly involved the decomposition of NaH2PO2. The decomposition products were mainly P(V)-containing compounds Na4P2O7 and Na5P3O10, and also PH3, H2, and H2O. Stage II begins when the temperature is increased to around 953 K, which is marked by further weight loss attributed to the reduction of GeO2 by the strong reducing gases of PH3 and H2. The different reactions are represented by eqn (26)–(29) leading to the condensation of germanium species including elemental Ge (Ge0), divalent Ge (Ge2+), and a minor fraction of tetravalent Ge (Ge4+). The decomposition of sodium hypophosphite (NaH2PO2) proceeded via hydrolysis followed by a nucleophilic addition–elimination mechanism. This reaction pathway generates PH3 and H2, which act as reductants and facilitate the breakdown of the GeO2 octahedral structure, leading to the formation of elemental Ge0 and its oxides (as illustrated in Fig. 5). Under optimized conditions, specifically at 1173 K and a reaction time of 40 min, the process achieved a germanium volatilization efficiency exceeding 90%:
| 4GeO2 + 2PH3 → 4Ge0 + P2O5 + 3H2O | (26) |
| 8GeO2 + 2PH3 → 8GeO + P2O5 + 3H2O | (27) |
| GeO2 + 2H2 → Ge0 + 2H2O | (28) |
| GeO2 + 2H2 → GeO + H2O | (29) |
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| Fig. 5 Reaction mechanism of the vacuum phosphate reduction of GeO2 (adapted from ref. 117 with permission from the American Chemical Society, ACS Sustain. Chem. Eng., 2019, 7(2), 2176–2186, Copyright 2018). | ||
In another study focused on germanium recovery from optical fiber waste,118 carbothermal reduction of GeO2 revealed a dynamic transformation in the reaction pathway. Although the transition zone between intermediates was not sharply defined, it was observed that GeO was initially formed and desorbed from the reaction zone. This intermediate was then further reduced to elemental germanium (Ge0), which became the dominant product. However, the evaporation of Ge0 occurred at a significantly slower rate compared to GeO. Spectroscopic analysis confirmed the coexistence of metallic impurities, including Zn, Cu, and Mg, within the product matrix. These impurities are believed to interfere in product purity and disrupt the morphology of the recovered material.
Several methods have been disclosed for germanium recycling from e-waste materials via pre-heat treatment followed by hydrometallurgical leaching. The roasted mass predominantly containing germanium and/or its oxides undergoes chlorination leaching to form GeCl4.119,120 In a unique method, the digestion of waste solar film in sodium hypochlorite followed by NaOH leaching at 90 °C for 30 min has been disclosed.121 By adding a certain amount of precipitant and water, the pH was adjusted to values in the range of 4.5–6.5 using HCl under slow stirring, to precipitate a Ge-enriched mass, which subsequently undergoes distillation with HCl to collect the GeCl4 product. The stepwise reactions take place as follows:
| Ge + 2NaClO + 2NaOH → Na2GeO3 + 2NaCl + H2O | (30) |
| Na2GeO3 + 2HCl → GeO2↓ + 2NaCl + H2O | (31) |
| GeO2 + 4HCl → GeCl4 + 2H2O | (32) |
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Fig. 6 [a] A representation of tannin-germanium chelation formed during precipitation from acidic solutions (adapted from ref. 126 published under open use licence with MDPI, Metals, 2023, 13(4), 774.); [b] pH-isotherm of possible metals in Ge-bearing sulfate solutions as a function of equilibrium pH and H2SO4 concentration; and [c] logarithmic distribution of germanium between organic and aqueous phases as a function of equilibrium pH (reprinted and modified from ref. 26 with permission from Elsevier, J. Clean. Prod., 2021, 294, 126217, Copyright 2021). [d] Ge-chelation complexation into the extract phase using oxime-based chelating extractant. [e] Phase disengagement effect in Ge-extraction as a function of N235 concentration, while maintaining the organic-to-aqueous phase ratio = 1 : 2, H2SO4 concentration into aqueous feed = 67.13 g L−1, D2EHPA concentration into the organic phase = 30%, contact time = 5 min, and temperature = 25 °C (adapted from ref. 143 with permission from Elsevier, Sep. Purif. Technol., 2024, 329, 125175, Copyright 2024). | ||
However, tannic acid's chelating behavior is not selective to germanium alone; it also complexes with Fe3+ and precipitates other impurities such as Cu2+, Zn2+, and Pb2+, thereby compromising the purity of the Ge precipitate.30 For example, increasing the dosage of tannic acid from 0.1 g to 0.2 g can raise the Ge precipitation yield from 10% to 91%, but simultaneously increases iron co-precipitation from negligible levels to 52%.127 This highlights the trade-off between higher yields and lower selectivity at elevated tannin dosages. Furthermore, excess tannic acid leads to emulsification during the precipitation and purification steps. These emulsified residues can burn on electrode surfaces during subsequent zinc electrolysis, increasing energy consumption and lowering current efficiency.128 To enhance selectivity, multi-stage precipitation processes are often employed, but they increase operational complexity, cost, and volume requirements.123
To address volume and selectivity challenges, Li et al.129 proposed a two-stage counter-current precipitation approach for sulfate leach solutions containing zinc. However, they noted that lower tannic acid dosages significantly reduced Ge recovery. In their study, achieving 99.5% Ge precipitation at pH 2.5 and 50 °C while operating a 20-minute contact time required a tannic acid dosage 25 times higher than the stoichiometric amount. In a few studies, such as that of Drzazga et al.,130 higher precipitation temperatures (up to 90 °C) have been investigated, but these pose another issue: tannic acid begins to degrade above 70 °C, making such conditions unsuitable.131 Due to limitations, such as poor selectivity, high reagent consumption, emulsification issues, and thermal instability, the use of tannin-based precipitation for germanium recovery has been largely phased out and replaced by more advanced liquid–liquid and solid-phase extraction techniques (discussed in subsequent sections).
) can be written as follows:
![]() | (33) |
In sulfuric acid media, the extraction of Ge4+ using D2EHPA can be maximized at acid concentrations >8.0 mol L−1. Under such highly acidic conditions, co-extraction of other metals is difficult, as illustrated by the extraction isotherms of metals with D2EHPA in Fig. 6b. However, the presence of highly concentrated free acid in the raffinate poses disadvantages. Hence, to address this, 7-(4-ethyl-1-methyloctyl)-8-hydroxyquinoline—known as Kelex 100 (denoted by
)—is preferred for recovering Ge species from strongly acidic H2SO4 solutions (pH < 0). The extraction reaction proceeds as follows:65
![]() | (34) |
A study conducted by Ma et al.,133 demonstrated that a mixture containing 30% P204 and 15% of an ester, namely tributyl phosphate (TBP, (RO)3–P
H), achieved an extraction efficiency of >94% for Ge4+. It has been suggested that TBP assists by enhancing the extraction by stabilizing the cationic Ge4+ species through partial anionic charge thereby reducing both the anion potential and the degree of ion hydration.134 About 19% of iron was co-extracted into the organic phase, which was subsequently scrubbed using 6 mol L−1 HCl. Germanium was quantitatively stripped from the organic phase using 250 g L−1 NaOH solution at an organic-to-aquaeous (O/A) phase ratio of 2.
Notably, Harbuck et al.74 reported that of the many organic extractants, only Kelex 100, LIX 26, LIX 63, and Cyanex 301 can exhibit effective germanium extraction from sulfuric acid media, with relative performances ranked as Kelex 100 ∼ LIX 26 < LIX 63 < Cyanex 301.65,70,135,136 Germanium can be successfully recovered from solutions containing large amounts of acid (at pH ≤ 0) via ion-pair formation into the organic phase, whereas under low acidity (pH ≥ 1.0) conditions, extraction efficiency is poor due to the prevalence of neutral complexation.65 The extraction rate using Kelex 100 can be improved by adding n-octanol, and quantitative extraction is achievable by operating under a mixed regime of both diffusion and the chemical reaction.135 In contrast, the first commercially available α-hydroxyoxime (i.e., LIX 63) for Ge extraction from sulfate media requires high concentrations (no less than 1.0 mol L−1) of LIX 63 in the organic phase and contact with aqueous solutions containing >1.0 mol L−1 H2SO4.137,138 Synergistic extraction strategies have been developed that involve adding different organophosphorus acids, e.g., octylphenyl acid phosphate (OPAP),138 2-ethylhexyl phosphonic acid mono 2-ethylhexyl ester (Ionquest 801),139 highly branched C10 tertiary carboxylic acid (Versatic acid 10),140 D2EHPA,141 and another oxime, LIX 26, into LIX 63, which could significantly dilute the need for α-hydroxyoxime molecules in the organic phase.142 The synergistic extraction mechanism using the LIX 63 + Ionquest 801 system is written as:26
![]() | (35) |
A new synergism, comprising C7–9 hydroxamic acid (YW100) with D2EHPA has been reported by Tan et al.143 The extraction of cationic Ge4+ from sulfuric acid solution could be improved via reducing the hydrolysis loss of YW100 and improving phase separation performance when the trioctyl tertiary amine (N235) is introduced into the organic phase at different concentrations. It has been observed that in the absence of N235, the hydrophilic groups of YW100 led to a reduction in its solubility in the organic phase, thereby forming an emulsion with greater extraction of germanium and the appearance of a third phase (Fig. 6e). The resultant enhanced extraction efficiency resulted in reduced recovery of germanium via loss of metal in this third phase. As the N235 was introduced into the organic phase, extraction efficiency decreased to 81% at 35 vol% N235, but the organic phase could be quantitatively stripped using NH4F solution, which improved the overall recovery of germanium during the extraction process. An optimized organic mixture of 3 vol% YW100 + 15 vol% D2EHPA + 35 vol% N235 + 47 vol% kerosene achieved 99.4% extraction efficiency. Subsequent stripping using 1.0 mol L−1 NH4F solution enabled recovery of 96.2% Ge from the extract phase.
Using Kelex 100 and LIX 63 alone revealed extraction efficiency in the order of Cl− < NO3− < I− ≪ CNS− but slower kinetics was exhibited with thiocyanate media, which can be improved by adding Cyanex 301 to synergize the process.144 Additionally, the mixing of 2 vol% hydroxamic acid (HGS98) with 5 vol% D2EHPA could result in an extraction efficiency of 99%,145 although the hydroxamic acid has the disadvantage of lower chemical stability with higher water solubility.144,146 Additionally, iron when forming anionic species at higher acidic concentrations, particularly in HCl media, renders it difficult to apply amine-based extractants (e.g., N235). Besides the predominant formation of GeCl4, the extraction of anionic species such as [Ge(OH)nCl(6−n)]2− has been reported by Sargar and Anuse147 when using N-n-octylaniline. The stepwise protonation of an amine extractant
followed by an extraction reaction can be expressed as follows:
![]() | (36) |
![]() | (37) |
) extracting anionic Ge oxalate34 and quaternary ammonium salts (written as
) extracting Ge tartrate148 can be given as follows:
![]() | (38) |
![]() | (39) |
The extraction efficiency and selectivity of Ge–tartaric acid complexes over co-existing metals ions (such as zinc, cadmium, copper, and nickel) reach a maximum when the molar ratio of C4H6O6 to germanium is increased. This is due to the higher stability constant of Ge–tartaric acid complexes relative to those formed with other metals at pH ∼1.0.149,150 In contrast, the use of alternative complexing agents such as oleic acid and catechol results in markedly lower germanium extraction efficiencies, decreasing from ∼100% to below 5% and ∼85%, respectively. In the case of the tertiary amine (N235), 93.5% germanium and about 7% arsenic were extracted from a tartrate solution of pH 1.2.36 The co-extraction of arsenic could be controlled by adding TOPO as a phase modifier with N235, yielding extraction efficiencies for germanium with different ligands that followed the order tartaric acid (95.8%) > citric acid (71.7%) > gallic acid (46.6%) > oxalic acid (<5%) > salicylic acid (less than 5%).151 Replacing TOPO with TBP as a modifier further improved extraction efficiency and phase separation compared to using the amine solvent alone.106 Drzazga et al.152 successfully achieved > 99% germanium extraction from sulfate solutions at pH values in the range of 1–3 using a TOA–TBP system, following prior complexation with tartaric acid, leaving indium in the raffinate, which was subsequently extracted using D2EHPA. For stripping germanium from the organic phase, NaOH solutions in the range of 10–20% were found effective. Below 10% NaOH, germanium is precipitated, while concentrations above 20% NaOH led to third-phase formation and emulsion instability.
Using a phosphonium-based salt, namely trihexyl(tetradecyl)phosphonium bis-2,4,4-(trimethylpentyl)phosphinate (Cyphos IL104, denoted as
), the extraction equilibria determined at 3.0 mol L−1 and 6.0 mol L−1 HCl have been commonly given according to eqn (40).105 The change in aqueous media could drastically reduce the extraction efficiency to below 5% with HNO3 and H2SO4 solutions (in the concentration range of 1–10 mol L−1). This again shows the inability of Ge forming stable anionic species in these media:
![]() | (40) |
Under comparable conditions, the extraction efficiency exhibited the order of quaternary ammonium salts > tertiary amine > dithiophosphinic acid; however, the high consumption of complexing agents and low selectivity of Ge extraction over some heavy metals (e.g., arsenic) have also been observed.36 On the one hand, either using a higher concentration of HCl in ZPR leaching or in the presence in solution of higher chloride content, GeCl4 species are formed, which can be extracted by using neutral extractants (e.g., TBP and 4-trialkylphosphine oxides, e.g. Cyanex 923; commonly represented as
) via adduct formation following the solvation mechanism as follows:
![]() | (41) |
![]() | (42) |
Using 20 vol% Cyanex 923 in the organic phase, an extraction efficiency for Ge of about 100% could be achieved from an oxalate solution (0.15 mol L−1 C2H2O4) within an extraction pH range of 1.0–3.0.149 The extraction equilibrium forming the Ge–oxalate complex with the phosphine oxides is given in eqn (43). As is evident from Fig. 6(b–d), Ge extraction takes place under acidic conditions, hence, its quantitative stripping from the loaded organic phase is carried out in alkaline solution to recover germanium into the aqueous solution, forming the anionic [H3GeO4] − and [H2GeO4]2− species:76
![]() | (43) |
Based on the literature reviewed, the separation and recovery techniques applied to Ge recovery from various leach liquors generated by the processing of different primary and secondary resources of this critical metal have been presented in Table S2. This table summarizes the optimized conditions, yield and selectively, and salient features of the reported liquid and solid phase separation techniques.153–157
Various commercially available resins can be employed, such as Amberlite IRA-743, WP-2, and Lewatit TP-260,158 methylglucamine-based resins,159 and those resins functionalized with diol groups and saccharides,160 including catechol and catechol-8-hydroxyquinoline resins.161 Among these, bifunctional N-methylglucamine resins exhibit quantitative adsorption of GeO(OH)3− and GeO2(OH)2− species (by dissociating Ge(OH)4 at pKa > 9.0) via coordination between glucose sites and nitrogen-containing groups. In multi-metal systems, Ge adsorption was decreased by competing ions, with iron exerting a particularly detrimental influence on the adsorption process.158 The sorption capacity of 1,2-diol-type resins was found to be lower than that of N-methylglucamine resins, i.e., 0.96 mmol g−1, but exhibited reduced selectivity for germanium.19,159 However, capacities improved to 1.5–2.4 mmol g−1 at pH 7.0–7.8, which approaches similar sorption capacity values of mannose-functionalized chitosan resins (i.e., 2.4 mmol g−1)160 and di(2-hydroxyethyl)amine-type cellulose derivatives (i.e., 1.8 mmol g−1 at pH 8.0), which is almost three times greater than sorption capacity values for 2-hydroxyethylamine-type cellulose derivatives.162 At pH values above 4.0, catechol forms a stable, negatively charged complex with germanium as shown in eqn (44).163 This complex exhibits a highly symmetric three-dimensional structure more stable than the corresponding silicate ionic complex,164,165 as illustrated in Fig. 7a.
![]() | (44) |
![]() | ||
| Fig. 7 [a] Structure of the anionic Ge–catechol complex. The ion-exchange extraction behaviour of metal ions with different resins made of [b] 100% catechol, [c] 75% catechol + 25% hydroxyquinoline, and [d] 50% catechol + 50% hydroxyquinoline, while varying the resin-to-liquor ratios in the range of 1–10 g L−1 (modified and reproduced from ref. 161 with permission from Elsevier, Sep. Purif. Technol., 2018, 193, 214–219, Copyright 2018). [e] A previous formation of anionic Ge–tartrate species that undergoes ion-exchange adsorption with chloride-functionalized D201 × 7 resin, followed by Ge desorption into NaOH solution (modified and reproduced from ref. 166 with permission from Elsevier Hydrometallurgy, 2024, 224, 106230, Copyright 2024). | ||
Cruz et al.161 studied the effect of different proportions of catechol by mixing Ge species with 8-hydroxyquinoline resin and observed that catechol alone yielded the best separation performance for germanium over silicon (Fig. 7b). The addition of 8-hydroxyquinoline into the resin mass facilitates the separation over Zn (Fig. 7c) but not copper in the mixed solution (Fig. 7d), whereas the equilibrium involving quaternary ammonium resins (e.g., Amberlite IRA-900 and IRA-958) employed for Ge adsorption from the catechol complex can be given as follows by eqn (45):33
![]() | (45) |
Additionally, Amberlite IRA-900 and IRA-958 exhibited good selectivity for Ge adsorption (96% and 89%, respectively) over that for other metal ions,164 justifying their theoretical affinity with anionic resins in the order of Ge > V > Sb > Mo > As > Ga > Zn, Co, Ni, Mn.33 Very recently, selective anion exchange for germanium separation was reported using D201 × 7 resin after converting Ge(OH)4 into anionic species [GeO2(OH)2C4H4O4]2− by adding tartaric acid (at a 1
:
1 molar ratio with respect to the Ge concentration) into sulfuric acid-leached solution.166 The observed sorption followed the Langmuir isothermal model and exhibited pseudo-second-order kinetics with a maximum uptake capacity of 214 mg g−1 and enrichment factor of 74.7. The metal complexation and schematic of the IX -mechanism are illustrated in Fig. 7e. An anion-exchange membrane (RX-1, polystyrene trimethylammonium) has also been applied to adsorb the anionic Ge–catechol complex from aqueous media containing silicon as the major impurity.111,163 Experimental results showed active ionic interactions at pH 11.0 as the solution was allowed to permeate through the RX-1 membrane.165
Among limited studies, Patel and Karamalidis167 used microwave-based synthesis to functionalize polystyrene beads with catechol, nitro-catechol, and pyrogallol that yielded maximum sorption capacities of 29.76 mg g−1, 39.14 mg g−1, and 37.13 mg g−1, respectively. The synthesized sorbents were highly selective for germanium, showing no adsorption for the competitive metal ions at pH 1–2. Activated carbon has been applied to Ge adsorption when maximum sorption capacity values of 5.6 mg g−1 and 10.5 mg g−1 at pH 5.0 were exhibited while using H3PO4-treated carbon powder (point of zero charge, pzc at 3.8) and untreated carbon powder (pzc value, 7.1), respectively.168,169 Due to the pzc values, the negative surface charge in pH > 7.1 media decreased the adsorption, whereas the positive surface charge at lower pH (∼1.0) exhibited negligible adsorption for the cationic species of germanium (refer to Fig. 2c). Xiang et al.170 synthesized three chitosan-based adsorbents by grafting p-hydroxybenzoic acid (HBA-CS), 3,4-dihydroxybenzoic acid (DBA-CS), and 3,4,5-trihydroxybenzoic acid (TBA-CS) to study steric effects on Ge adsorption caused by the differing amounts of phenolic hydroxyl. The results were correlated with the arrangement of the active adsorption sites following the order of TBA-CS > DBA-CS > HBA-CS > CS. The steric effect of TBA-CS was found to be more ideal than that of DBA-CS due to more phenolic hydroxyl groups, which exhibited superior affinity towards Ge(OH)4.
Subsequently, life-cycle assessment (LCA), a crucial decision-making tool for evaluating environmental impacts,173–176 has been employed to analyze various Ge-recovery routes within this framework. The primary extraction of germanium is mainly performed through the energy-intensive smelting of zinc and lead ores; however, the environmental burdens of germanium extraction have traditionally been attributed to its mother metals, fostering the perception that germanium extraction itself has relatively low environmental impacts.173 Therefore, an accurate assessment of the environmental impacts of germanium extraction from the starting raw materials is imperative, yet it remains a relatively underexplored topic in Ge metallurgy. Notably, fewer than 2% of published studies have provided comprehensive inventory data necessary for robust LCA modeling.177,178
Recent studies have attempted to address this knowledge gap by conducting cradle-to-gate LCAs on various germanium recovery routes. Within the LCA framework, the output of a functional unit of 1 kilogram of germanium crystals was established to analyze three major processes under the defined boundary conditions as represented by the dotted lines in Fig. 3.178 Within the standard framework of ISO:14040 and ISO:14044, openLCA was used for evaluating the environmental indicators (refer to Table S3 for the indicators with respective units in the SI), while following the methodology defined in the International Life Cycle Database (ILCD, v1.0.8). Among the three different feed material systems, System 1 involved ZRR with Pb concentrate as the feed raw material to a smelter for up-concentration of germanium, followed by chlorination to GeCl4, hydrolysis to GeO2, reduction to Ge metal, and zone refining to recover Ge crystals. In System 2, ZRR underwent a similar series of steps, but without mixing with Pb concentrate, thereby eliminating the need for smelting during processing, while in System 3 ZRR is sent to a smelter. Furthermore, considering a mixed feed in Systems 1, 2, and 3 at a mass ratio of 4
:
1
:
1, data obtained from electro-optic materials (Umicore, Belgium) were used to evaluate the LCA for environmental indicators.179,180 Table S3 shows the midpoint impact category results with global warming potential (GWP) value of 852 kg CO2-eq for 1 kg of Ge crystals in terms of the baseline scenario.
On the other hand, considering an output of 1 kg of Ge crystals from coal burning (bearing 600 ppm Ge) and recuperation of the coal fly ash that achieves a concentration of <0.3%, Robertz et al.177 studied the LCA within the system boundary (as defined in Fig. 3b). They used data from region-specific electricity grid mix for Umicore (Belgium) and the National Chinese grid mix (China), while excluding downstream solid waste and wastewater treatment processes. Recognizing the uncertainties in the concomitant energy recovery from coal, they considered two different cases: (i) no energy recovery from Ge-rich coal, and (ii) energy production from coal in a power plant that was assumed to produce a suitable germanium concentrate. Consequently, they obtained the GWP values of 5566 kg CO2-eq and 698 kg CO2-eq, respectively. The coal burning activity produces ample amounts of heat/energy, hence, the second case with 698 kg CO2-eq of GWP seems to be a realistic value. As shown in Fig. 8b, the main contribution to the environmental impact is linked to the coal raw material, either with the emissions during its burning or with its extraction and treatment. Coal particularly affects the impact categories of freshwater eutrophication (>99%), ecotoxicity for aquatic fresh water (60%), and freshwater consumption (50%).
When the LCA was performed for Ge recovery via the recycling of e-waste material within a silica matrix containing 3.5% germanium, the scraps are considered burden free, but the transport of the scraps to the production plant is included in the LCA study, following the hydrometallurgical system boundary (defined in Fig. 3c). The study showed that the main contributors to the impact categories are linked to the energy sources and the chemicals used for the leaching and chlorination process (refer to Fig. 8c).177 The auxiliary materials have high impacts with respect to every category except ozone depletion. The transportation of raw materials also contributes significantly to the environmental burden through acidification potential, marine and terrestrial eutrophication, particulate matter, and photochemical ozone formation. Overall, the GWP for recycled germanium was found to be a substantially lower value of 163 kg CO2-eq, which can be further reduced to 151 kg CO2-eq if HCl could be recycled from the chlorination-refining step to the acid-leaching step.177 However, a separate study by Hoof et al.178 reported a higher GWP value of 280 kg CO2-eq, likely due to the use of pyrometallurgical processes involving high temperatures. This discrepancy underscores the environmental advantage of hydrometallurgical recycling methods for germanium recovery. Furthermore, a sensitivity analysis focusing on the fossil and mineral resource scarcity (FMRS) indicator, of particular relevance to both the EU and US, revealed a variation of 6 to 11 orders of magnitude depending on the depletion model used. These large variations were largely driven by the germanium content of the input feedstock, indicating that higher Ge-bearing feed can substantially reduce its criticality to improve the supply chain of this valuable element.
Industrial residues generated during zinc smelting are currently the most economically viable source of germanium. These materials typically contain relatively high germanium concentrations, ranging from 100 to 600 ppm. More importantly, their processing is often integrated into existing hydrometallurgical and pyrometallurgical workflows within the zinc industry, allowing for the co-recovery of germanium with minimal additional infrastructure or energy input. From an economic standpoint, the high throughput of zinc smelters and the established logistics for residue handling significantly lower the marginal cost of germanium recovery. However, reliance on ZRR inherently ties the supply of germanium to the zinc production cycle. Any downturn in zinc output can limit germanium availability. Furthermore, certain residues may require pretreatment to remove impurities or improve recovery efficiency, which can slightly increase the operational costs. Despite these limitations, the mature industrial context and consistent germanium yields make ZRR the most commercially attractive source currently in use.
In the case of CBR, it is produced in vast quantities worldwide as a by-product of coal combustion and is readily available at minimal acquisition cost. Some deposits, particularly those originating from lignite or low-rank coal in regions such as Inner Mongolia and parts of Eastern Europe, exhibit elevated germanium concentrations (exceeding 100 ppm), making them more suitable for economic recovery. Moreover, the potential for co-extraction of rare earth elements and other trace metals presents opportunities for process integration and cost sharing. Nevertheless, most CBR contains germanium in the range of 5 to 50 ppm, which is often too low to justify standalone recovery operations. Additionally, extraction methods tend to be chemically intensive, involving acid or alkali leaching, thermal activation, or pressure treatment, each contributing to increased operational costs. The highly variable composition of CBR and its dispersed nature further complicate economic scaling. As a result, while CBR can be economically viable in geographically specific, high-grade deposits, its general viability is limited by low germanium content and relatively high processing costs.
E-waste is emerging as a major alternative source of germanium, distinguished by its high Ge content in certain components. Specific electronic products, such as infrared optical devices, high-frequency semiconductors, and photovoltaic cells, may contain germanium concentrations ranging from 0.1 to 1 wt%, far exceeding levels found in ZRR or CBR. When recovery processes are focused on these high-value components, the economics can be favorable. Additionally, the concurrent recovery of companion metals can enhance overall profitability. However, only a small fraction of e-waste contains germanium, and the materials are often embedded in complex assemblies. Disassembly, sorting, and pre-concentration are labor-intensive and require sophisticated infrastructure. Furthermore, the volume of recoverable germanium from bulk e-waste streams is low, making large-scale operations economically challenging unless highly targeted. The technologies required for germanium extraction from e-waste, including selective leaching or vacuum smelting, are often capital-intensive and not yet widely implemented. Accordingly, germanium recovery from e-waste is economically viable primarily under selective, high-concentration scenarios rather than as a general strategy. In summary, e-waste offers significant potential in niche applications but remains economically constrained on a large scale. The development of a sustainable, long-term model for Ge supply must account for these realities while aligning with broader environmental objectives, as discussed in the next section.
![]() | ||
| Fig. 9 Projection of primary production and scrap generation of germanium from [a] fiber optics, [b] space-based PV, [c] IR optics, [d] PET catalysts, [e] terrestrial PV, [f] total Ge-bearing scrap generation, and [g] prediction for primary Ge-production. [h] The simulated results of demand and supply for germanium into different application areas, wherein, the thin line represents sector-specified demand (abbreviated as ‘D’), and the thick line shows actual supply of germanium (abbreviated as ‘Into’) (adapted from ref. 184 under open use license with Springer Nature, Biophys. Econ. Sust., 2024, 9, 5, Copyright 2024). | ||
Recycling post-consumer electronic waste could mitigate this scarcity, but current recycling rates remain low (below 10%). Sverdrup and Haraldsson184 presented a value chain linking the extraction of mother metals to germanium circulation (Fig. 10), highlighting the market dynamics and policy impacts described in the EEA's four sustainability scenarios.181 These scenarios provide distinct policy pathways. The analysis indicates that Ecotopia focuses on conservation, minimal use, and a cooperative regulatory approach to reduce demand (represented by the R1 loop), whereas Unity in Adversity and Technocracy for Good focus more on centralized control, with the latter particularly focusing on technological solutions for efficient germanium circularity, reducing extraction via recycling (represented by the R2 loop). The analysis also suggests that physical circularity of germanium is critical to offset its primary supply. Understanding and improving recycling rates over time will align policy processes with feedback loops related to circularity. Moreover, economic and geopolitical factors often favor mother metal extraction, as shown by loops R3 and R4 in Fig. 10. Therefore, recognizing the driving forces behind extraction and their influence on market mechanisms is essential for ensuring long-term circularity of this critical metal.
![]() | ||
| Fig. 10 The pathways towards each of the imaginaries are illustrated with different policy domains that are required to be in place for each of the imaginaries to be achieved (adapted from ref. 184 under open use license with Springer Nature, Biophys. Econ. Sust., 2024, 9, 5, Copyright 2024). | ||
Efficient pre-concentration of germanium is critical for downstream recovery and can be achieved through tannin precipitation, solvent extraction, ion exchange, and adsorption, each requiring high selectivity over competing metals like zinc, iron, and cadmium. The success of these methods depends on factors such as pH, extractant compatibility, and system stability. Due to poor selectivity, high reagent consumption, emulsification issues, and thermal instability, the use of tannin-based precipitation processes has been largely phased out. Despite rapid mass transport rates, solvent extraction with synergistic systems like YW100 with D2EHPA and N235 has shown promising results, though third-phase formation, high cost of organic solvents, and co-extraction of metal ions are unresolved issues. Manoeuvring new extractants with higher selectivity and lower cost can offer a potential solution to this challenge. Solid-phase approaches using catechol and functionalized resins like Amberlite IRA-900 have demonstrated selectivity for germanium, offering additional potential for integration with solvent extraction to enhance overall yields. In recycling, up to 30% of germanium used in semiconductors could be recovered from waste streams, though challenges persist in liberating germanium from siliceous matrices, often requiring hydrofluoric acid or alkali roasting. Ionic liquids, particularly phosphonium-based variants in HCl media, show improved selectivity and could serve as greener alternatives. LCA studies reveal stark environmental differences among extraction pathways: the GWP for producing 1 kg of Ge from CBR with energy recovery is 698 kg CO2-eq, which rises to 5566 kg CO2-eq without energy integration, while ZRR-based production shows 852 kg CO2-eq. In contrast, recycling from PV waste results in only 163 kg CO2-eq, reinforcing the environmental benefits of targeted recycling. However, comprehensive data on the techno-economic and environmental performance of both conventional and emerging extraction technologies remain limited, especially at higher technology readiness levels. Bridging this gap is essential for establishing robust sustainability benchmarks and identifying critical process hotspots.
Future research on germanium should focus on developing efficient, low-cost, and environmentally friendly extraction and recycling technologies, particularly those capable of selectively recovering germanium from complex matrices in both industrial residues and e-waste. Advancements in solvent extraction, ion exchange, and hybrid separation systems, along with scalable process integration, are essential to improving recovery efficiency and economic viability. In parallel, exploring germanium's role in emerging technologies such as photonics, quantum computing, and energy storage will help to anticipate future demand and refine purity requirements. The anticipated growth in Ge-containing e-waste generation will also help to overcome the feedstock limitations. Comparative sustainability assessments, including processing costs and life-cycle impacts, should be expanded to establish robust benchmarks for different extraction routes. Moreover, policy research addressing circular economy incentives, recycling mandates, and extended producer responsibility (EPR) is crucial to strengthen regulatory frameworks for germanium recovery. A multidisciplinary approach combining technical innovation with economic and policy analysis will be key to securing a stable, sustainable supply of this critical element.
Overall, this review highlights the key points for achieving efficient germanium extraction and emphasizes the significance of adopting sustainable practices, particularly through the implementation of waste recycling strategies. By considering the environmental impacts of different production systems, stakeholders can make informed decisions and work towards a more sustainable metallurgical extraction of germanium.
Supplementary information (SI): bibliometric data acquisition methods, Tables S1 and S2, highlighting key features of germanium leaching processes from different materials, and summarizing the solvent extraction papers reported in the literature, respectively. Table S3 summarizing the midpoint impact category determined via the LCA study on production of 1 kg of Ge. See DOI: https://doi.org/10.1039/d5gc03018h.
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