Biochar-Based Catalysts for Sustainable Wastewater Treatment: Advances, Mechanisms, and Future Perspectives
Abstract
1. Introduction
1.1. Advanced Catalytic Processes
1.2. Why Biochar?
1.2.1. Abundance, Low Cost, and Carbon Neutrality
1.2.2. Unique Physicochemical Properties
1.3. Research Gap
1.4. Objectives and Scope of the Review
2. Review Methodology
3. Biochar as a Catalytic Platform
3.1. Feedstocks and Production Methods
3.1.1. Biomass Feedstocks
3.1.2. Pyrolysis Conditions
3.2. Intrinsic Catalytic Activity
3.2.1. Electron Transfer Capability
3.2.2. Radical and Non-Radical Pathways
4. Engineering Biochar-Based Catalysts
4.1. Metal-Loaded Biochar Catalysts
4.2. Biochar-Supported Semiconductor Photocatalysts
4.2.1. Biochar–Semiconductor Composites (TiO2, ZnO, and g-C3N4)
4.2.2. Role of Biochar in Charge Separation
4.3. Heteroatom-Doped Biochar
4.4. Magnetic Biochar Composites
Recovery and Reuse Advantages
4.5. Hybrid and Multi-Component Systems
4.5.1. Synergistic Effects in Hybrid Systems
4.5.2. Coupled Catalytic Pathways
5. Mechanisms of Pollutant Degradation and Catalytic Activity
5.1. Radical Pathways
5.2. Non-Radical Pathways
5.2.1. Singlet Oxygen (1O2) Pathway
5.2.2. Electron Transfer Mechanisms
5.3. Role of Biochar Surface Chemistry
5.3.1. Defects and Active Sites
5.3.2. Structure–Activity Relationships
6. Applications in Wastewater Treatment
6.1. Organic Pollutants
6.1.1. Dyes
6.1.2. Pharmaceuticals
6.1.3. Pesticides
6.2. Emerging Contaminants (ECs)
6.3. Heavy Metals and Mixed Pollutants
6.4. Real Wastewater Systems
6.4.1. Industrial Effluents
6.4.2. Municipal Wastewater
6.4.3. Performance vs. Lab-Scale Systems
7. Performance Evaluation and Comparison
7.1. Key Performance Metrics
7.1.1. Removal Efficiency
7.1.2. Mineralization (TOC Reduction)
7.1.3. Reaction Kinetics
7.2. Comparison to Other Catalysts
7.2.1. Activated Carbon
7.2.2. Pure Semiconductor Photocatalysts
7.2.3. Metal-Based Catalysts
7.3. Stability and Reusability
7.3.1. Catalyst Deactivation
7.3.2. Leaching Issues
8. Sustainability and Environmental Considerations
8.1. Life Cycle Perspective
8.1.1. Feedstock Sustainability
8.1.2. Energy Consumption
8.2. Secondary Pollution Risks
8.3. Cost and Scalability
8.4. Comparative Critical Analysis
9. Challenges
10. Future Perspectives
10.1. Rational Catalyst Design
10.2. Integration with Treatment Systems
10.3. AI/Data-Driven Catalyst Optimization
10.4. From Lab to Field Applications
11. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Biochar (BC)-Based Catalysts | Oxidant | Pollutant | Operational Conditions | Removal Efficiency (%) | Reference |
|---|---|---|---|---|---|
| Pine BC | PMS | Tetracycline | PMS dose = 3 mM; IC = 20 mg/L; CD = 3.0 g/L; pH = 7.0 | 90 | [56] |
| Ni-doped/Cherry core BC | PMS | Bisphenol-A | PMS dose = 1 g/L; IC = 20 mg/L; CD = 0.03 g/L; pH = 3.0 | 100 | [57] |
| Pine needle BC | PMS | 1,4-dioxane | PMS dose = 8 mM; IC = 20 μM; CD = 1 g/L; pH = 6.5 | 84.2 | [58] |
| Fe/Mn-doped/Sludge BC | PMS | Phenol | PMS dose = 4 mM; IC = 0.32 mM; CD = 0.5 g/L; pH = 9.0 | 100 | [59] |
| Corn cob BC | PDS | 2,4-dichlorophenol | PDS dose = 1 g/L; IC = 100 mg/L; CD = 0.2 g/L; pH = 6.0 | 86 | [60] |
| MnFe2O4/BC | PMS | Bisphenol-A | PMS dose = 0.2 g/L; IC = 20 mg/L; CD = 0.2 g/L; pH = 7.0 | 100 | [61] |
| Soybean residue BC | PDS | Tetracycline hydrochloride | PDS dose = 1 mM; IC = 50 mg/L; CD = 0.2 g/L; pH = 7.0 | 84.1 | [62] |
| MgFe2O4/MgO/BC | PMS | Sulfamethoxazole | PMS dose = 1 mM; IC = 20 mg/L; CD = 0.4 g/L; pH = 5.6 | 100 | [63] |
| Sludge-sugarcane bagasse BC | PMS | Bisphenol AF | PMS dose = 50 mg/L; IC = 20 mg/L; CD = 0.2 g/L; pH = 7.0 | 93.7 | [64] |
| CoWO4/Codoped/ BC | PMS | Chlortetracycline | PMS dose = 0.3 mM; IC = 20 mg/L; CD = 0.03 g/L; pH = 5.2 | 100 | [65] |
| Red mud BC | PMS | Sulfamethoxazole | PMS dose = 0.15 mM; IC = 0.02 mM; CD = 1.5 g/L; pH = 4.12 | 100 | [66] |
| CoFe2O4/BC | PAA | Tetracycline hydrochloride | PDS dose = 0.6 mM; IC = 10 mg/L; CD = 1 g/L; pH = 5.0 | 96 | [67] |
| Passion fruit shell BC | PMS | Tetracycline | PMS dose = 0.3 g/L; IC = 20 mg/L; CD = 0.4 g/L; pH = 5.4 | 90.9 | [68] |
| FeS/BC | PS | Tetracycline | PMS dose = 10 mM; IC = 200 mg/L; CD = 0.3 g/L; pH = 3.6 | 87.4 | [69] |
| Pine needles BC | PMS | Phenol | PMS dose = 3.0 mM; IC = 10 mg/L; CD = 0.2 g/L; pH = 5.2 | 100 | [70] |
| Co3O4/Peanut shell BC | PMS | Ofloxacin | PMS dose = 1 mM; IC = 20 mg/L; CD = 0.8 g/L; pH = 7.0 | 97.3 | [71] |
| Magnetic rape straw BC | PS | Tetracycline hydrochloride | PMS dose = 8 mM; IC = 20 mg/L; CD = 1 g/L; pH = 5.68 | 98 | [72] |
| CuO/Rice straw BC | PDS | Phenacetin | PDS dose = 50 mg/L; IC = 10 mg/L; CD = 0.3 g/L; pH = 4.26 | 100 | [73] |
| N-doped/Boehmeria nivea BC | PMS | Tetracycline | PMS dose = 1 mM; IC = 20 mg/L; CD = 0.1 g/L; pH = 7.0 | 96.5 | [74] |
| Co-doped shrimp shell BC | PMS | Ciprofloxacin | PMS dose = 0.4 g/L; IC = 30 mg/L; CD = 0.15 g/L; pH = 6.8 | 89.5 | [75] |
| N-doped/Magnetic BC | PMS | Sulfadiazine | PMS dose = 1 mM; IC = 10 mg/L; CD = 0.25 g/L; pH = 5.5 | 95.2 | [76] |
| Co-doped/Goat manure BC | PMS | Ciprofloxacin | PMS dose = 0.4 g/L; IC = 20 mg/L; CD = 0.1 g/L; pH = 6.3 | 96.5 | [77] |
| Biochar (BC)-Based Catalytic Systems | Pollutant | Operational Conditions | Removal Efficiency (%) | Reference |
|---|---|---|---|---|
| Zn-Co-LDH/BC + UV | Gemifloxacin Antibiotic | CD = 0.75 g/L; IC = 15 mg/L; power = 10 W; pH = 5.5; t = 130 min | 92.7 | [86] |
| TiO2/Chitosan BC + UV | Rhodamine B | CD = 0.5 g/L; IC = 80 mg/L; power = 500 W; t = 270 min | 100 | [87] |
| g-MoS2/Straw BC + visible light | Tetracycline hydrochloride | CD = 10 mg/L; IC = 20 mg/L; power = 300 W; pH = 5.0; t = 60 min | 90 | [88] |
| TiO2/Walnut shells BC + UV | Methyl orange | CD = 0.25 g/L; IC = 20 mg/L; power = 500 W; t = 150 min | 96.9 | [89] |
| BiOBr/Lignin-BC + visible light | Rhodamine B | CD = 0.2 g/L; IC = 30 mg/L; power = 300 W; t = 60 min | 99.2 | [90] |
| N-doped/TiO2/BC + UV | Methyl orange | CD = 0.25 g/L; IC = 20 mg/L; power = 500 W; t = 90 min | 97.6 | [91] |
| Bi2O2CO3/Rice husk BC + visible light | Tetracycline | IC = 70 mg/L; CD = 0.6 g/L; power = 300 W, pH = 6.37; t = 60 min | 84.7 | [92] |
| g-C3N4/BC + UV | Enrofloxacin | CD = 1 g/L; IC = 10 mg/L; power = 500 W; pH = 6.6, t = 12 h | 81.1 | [93] |
| SnS2/Tea leaves BC + LED light | Amoxicillin | CD = 0.2 g/L; IC = 20 mg/L; power = 23 W; pH = 5.0; t = 120 min | 93.7 | [94] |
| g-C3N4/Crawfish shell BC + visible light | Enrofloxacin | CD = 1 g/L; IC = 10 mg/L; power = 500 W; pH = 7, t = 8 h | 90 | [95] |
| g-C3N4/Graphene-like BC + PMS + visible light | Tetracycline | CD = 0.2 g/L; IC = 10 mg/L; PMS dose = 0.2 g/L.; pH = 5.45; t = 60 min | 90 | [96] |
| Fe/Cu/Sludge BC + PI + UV | Diclofenac sodium | CD = 0.1 g/L; IC = 20 mg/L; PI dose = 5 mM; power = 60 W; pH = 6.9; t = 60 min | 99.7 | [97] |
| S-doped/g- C3N4/BC + visible light | Tetracycline | CD = 1 g/L; IC = 10 mg/L; t = 60 min | 81.7 | [98] |
| K-doped/g- C3N4/BC + visible light | Naphthalene | CD = 0.5 g/L; IC = 20 mg/L; power = 200 W; t = 180 min | 82.2 | [99] |
| Biomass | Oxidant | Catalysts | Pollutant | Operational Conditions | Removal Efficiency (%) | Reference |
|---|---|---|---|---|---|---|
| Raw silk | PMS | PGBF-N-900 | Tetracycline | Catalyst = 0.1 g/L, T = 25 °C, pH = 7, PMS = 1 mM, TC = 20 mg/L | 96.5 | [74] |
| Straw | PDS | N-BC | Tetracycline | Catalyst = 200 mg/L, T = 25 °C, PDS = 2 mM, TC = 20 mg/L | 100 | [109] |
| Corncob | PDS | NBC3 | Sulfadiazine | Catalyst = 1.0 g/L, T = 25 °C, pH = 7, PDS = 1 mM, SD = 10 μM | 96.5 | [110] |
| Rice straw | PMS | NRSBC800 | Acid orange 7 | Catalyst = 100 mg/L, T = 25 °C, PMS = 2 mM, AO7 = 50 mg/L | 100 | [111] |
| Candida utilis | PMS | NCS-6 | Bisphenol A | Catalyst = 0.4 g/L, T = 25 °C, pH = 7, PMS = 0.4 g/L, TC = 20 mg/L | 100 | [112] |
| Sawdust | PMS | N-C-d-4–800 | Bisphenol A | Catalyst = 0.5 g/L, T = 25 °C, pH = 6.28, BPA = 10 mg/L, PMS = 2 mM | 100 | [113] |
| Sludge | PDS | NSBC-700 | Sulfadiazine | Catalyst = 1.0 g/L, pH = 3.1, PDS = 600 mg/L, SD = 20 mg/L | 97 | [114] |
| Sorghum stalk | PDS | SG650 | Sulfadiazine | Catalyst = 1.8 g/L, T = 25 °C, pH = 5.8, PDS = 9.1 mM, SD = 36.3 μM | 94.4 | [115] |
| Sludge | PMS | NC-700 | Methylene blue | Catalyst = 0.3 g/L, T = 25 °C, PMS = 0.4g/L, MB = 50 mg/L | 93.2 | [116] |
| Wood residue | PMS | NC800–20 | Acid orange 7 | Catalyst = 0.1 g/L, T = 25 °C, pH = 3–4, AO7 = 10 mg/L, AO7: PMS ratio = 1:50 | 100 | [117] |
| Pinewood | PMS | NKBC800 | Ciprofloxacin | Catalyst = 0.2 g/L, T = 25 °C, PMS = 3 mg/L, CIP = 50 mg/L | 87 | [118] |
| Lotus leaf | PDS | LLC800 | Acid orange 7 | Catalyst = 0.25 g/L, T = 25 °C, PH = 6.4 ± 0.1, PDS = 4 g/L, AO7 = 200 mg/L | 99.46 | [119] |
| Spirulina residue | PDS | SDBC900 | Sulfamethoxazole | Catalyst = 0.5 g/L, T = 25 °C, PDS = 6 mM, SMX = 20 mg/L | 100 | [112] |
| Biomass | Oxidant | Catalysts | Pollutant | Operational Conditions | Removal Efficiency (%) | Reference |
|---|---|---|---|---|---|---|
| Sludge | PDS | SDBC | Sulfamethoxazole | Catalyst = 2.0 g/L, T = 25 °C, pH = 5.0, SMX = 40 μM, PDS = 1.5 mM | 94.6 | [122] |
| Rice straw | PMS | MNBC800 | Metolachlor | Catalyst = 0.2g/L, MET = 10 mg/L, PMS = 0.5 mM | 100 | [123] |
| Sludge | PMS | ISBC | Perfluorooctanoic acid | Catalyst =1 g/L, T = 60 °C, pH = 6.4, PFOA = 2 mg/L, PMS = 10 mM | 99.9 | [124] |
| Maize straw | PDS | Fe@N co-doped biochar | Norfloxacin | Catalyst = 0.1 g/L, T = 25 °C, pH = 7.0, SMX = 0.08 mM, PMS = 10 mmol | 96.45 | [125] |
| Melamine | PDS | ACO850- 20N20S | Methyl orange | Catalyst = 0.8 g/L, T = 30 °C, pH = 5.0, MO = 200 mg/L, PDS = 1.2 g/L | 99 | [126] |
| Banyan | PMS | Fe-Ce@N-BC | Metronidazole | Catalyst = 0.75 g/L, T = 25 °C, pH = 5.74, MNZ = 0.01 g/L, PMS = 2 mM | 97.5 | [127] |
| Wood chip | PDS | KMBC | Metronidazole | Catalyst = 0.5 g/L, T = 25 °C, pH = 6.5, MNZ = 20 mg/L, PDS = 1 mM | 98.4 | [128] |
| Sawdust | PMS | Fe-N-C-BPA | Bisphenol A | Catalyst = 0.1 g/L, T = 25 °C, pH = 6.76, BPA = 0.01 g/L, PMS = 0.5 mM | 97 | [129] |
| Wheat straw | PDS | Fe-N-BC | Acid orange 7 | Catalyst = 0.2 g/L, pH = 3, PDS = 1 mM AO7 = 20 mg/L, | 100 | [130] |
| Rice husk | PMS | Fe3O4@NCNTs- BC800 | Sulfamethoxazole | Catalyst = 0.4 g/L, T = 25 °C, Ph = 7.0, SMX = 0.01 g/L, PMS = 0.6 mM | 98.2 | [131] |
| Camphor sulfonic | PDS | NSC-750 | Sulfamethoxazole | Catalyst = 0.2 g/L, pH = 5, SMX = 20 mg/L, PDS = 0.4 mM | 96 | [132] |
| Sludge | PDS | MS-800 | Tetracycline | Catalyst = 0.2 g/L, pH =2.17, TC = 100 mg/L, PDS = 4.2 mM | 82.24 | [133] |
| Maso bamboo | PMS | NSBC-500 | Antibiotic | Catalyst = 3 mg/L, antibiotic = 20 mg/L, PMS = 5 mM | 70.97 | [134] |
| Glucose | PDS | N-Cu-biochar | Tetracycline | Catalyst = 200 mg/L, pH = 5, TC = 20 mg/L, PDS = 2 mM | 100 | [135] |
| Catalyst Type | Key Advantages | Key Limitations | Cost Level | Stability | Scalability | Typical Applications | Reference |
|---|---|---|---|---|---|---|---|
| Biochar-based catalysts | Multifunctional (adsorption + catalysis), low-cost feedstock, tunable surface chemistry, sustainable | Variability in properties, possible leaching (if modified), lower consistency | Low–Medium | Moderate–High (depends on modification) | High (biomass abundant) | Organic pollutants, ECs, heavy metals | [11] |
| Activated carbon (AC) | High surface area, strong adsorption capacity, well-established technology | Limited catalytic activity, regeneration challenges, high energy production cost | Medium–High | High | High | Adsorption of organic pollutants, dyes | [191] |
| Pure semiconductors (TiO2, ZnO, g-C3N4) | Strong photocatalytic activity, high oxidative potential | Charge recombination, limited visible-light response, low adsorption capacity | Medium | Moderate | Moderate | Photocatalytic degradation of organics | [82] |
| Metal-based catalysts (Fe, Co, Mn, Cu) | High catalytic efficiency, fast reaction kinetics, strong oxidant activation | Metal leaching, toxicity concerns, cost (especially for Co), stability issues | Medium–High | Moderate | Moderate | AOPs (Fenton, persulfate activation) | [51] |
| Noble metal catalysts (Pt, Pd, Au) | High catalytic activity, high selectivity, significant electron transfer | Very high cost, scarcity, deactivation, poor scalability | Very High | High | Low | Advanced catalysis, niche applications | [159] |
| Metal oxides (Fe3O4, MnO2, etc.) | Good catalytic activity, relatively stable, magnetic recovery possible | Limited adsorption, aggregation issues, moderate efficiency alone | Medium | Moderate–High | Moderate | AOPs, adsorption–catalysis | [136] |
| Wastewater Type | Pollutants | Catalyst Used | Process | Performance | Key Challenges | Reference(s) |
|---|---|---|---|---|---|---|
| Textile wastewater | Dyes (methylene blue, azo dyes), COD | Fe–biochar | PMS activation | >90% dye removal, COD reduction ~70% | High salinity, radical scavenging | [174] |
| Pharmaceutical wastewater | Antibiotics (tetracycline, ciprofloxacin) | Co–biochar | PMS activation | ~95–100% removal | Complex matrix, toxicity of intermediates | [178] |
| Municipal wastewater (secondary effluent) | Pharmaceuticals, NOM | N-doped biochar | PDS activation | ~80–90% removal | NOM interference, low pollutant concentration | [20] |
| Industrial mixed effluent | Heavy metals + dyes | Fe3O4–biochar | Adsorption + AOP | >90% metal removal, dye degradation | Co-contaminant competition | [15,136] |
| Agricultural runoff | Pesticides (atrazine, glyphosate) | Mn–biochar | PDS activation | ~85–95% removal | Matrix complexity, seasonal variability | [195] |
| Landfill leachate | Refractory organics, COD | Biochar/TiO2 | Photocatalysis | COD reduction ~60–75% | High organic load, turbidity | [179] |
| Hospital wastewater | Antibiotics, pathogens | g-C3N4/biochar | Photocatalysis | ~85–95% removal | Biological interference, mixed pollutants | [166] |
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Rahman, A.; Rahman, M.M.; Haque, M.A.; Shinu, P.; Rahman, M.M.; Khan, A.A.; Rushd, S. Biochar-Based Catalysts for Sustainable Wastewater Treatment: Advances, Mechanisms, and Future Perspectives. Catalysts 2026, 16, 538. https://doi.org/10.3390/catal16060538
Rahman A, Rahman MM, Haque MA, Shinu P, Rahman MM, Khan AA, Rushd S. Biochar-Based Catalysts for Sustainable Wastewater Treatment: Advances, Mechanisms, and Future Perspectives. Catalysts. 2026; 16(6):538. https://doi.org/10.3390/catal16060538
Chicago/Turabian StyleRahman, Aminur, Md Mahbubur Rahman, Md Azizul Haque, Pottathil Shinu, Muhammad Muhitur Rahman, Aftab Ahmad Khan, and Sayeed Rushd. 2026. "Biochar-Based Catalysts for Sustainable Wastewater Treatment: Advances, Mechanisms, and Future Perspectives" Catalysts 16, no. 6: 538. https://doi.org/10.3390/catal16060538
APA StyleRahman, A., Rahman, M. M., Haque, M. A., Shinu, P., Rahman, M. M., Khan, A. A., & Rushd, S. (2026). Biochar-Based Catalysts for Sustainable Wastewater Treatment: Advances, Mechanisms, and Future Perspectives. Catalysts, 16(6), 538. https://doi.org/10.3390/catal16060538

