Waste-Derived Sustainable Nanomaterials: Comprehensive Review of Synthesis Advances, Applications and Translational Challenges
Abstract
1. Introduction
2. Nanoparticle Synthesis Methods: Conventional to Waste-Derived Strategies
3. Waste Sources for the Synthesis of Nanoparticles
3.1. Agricultural Waste-Derived Nanoparticles
3.1.1. Sustainable Food Systems
3.1.2. Environmental Remediation
3.1.3. Energy and Bio-Functional Systems
3.1.4. Agricultural Systems
3.1.5. Biomedical and Antimicrobial Systems
3.2. Animal Waste-Derived Nanoparticles
3.2.1. Biomedical and Drug-Delivery Systems
3.2.2. Environmental Remediation and Agricultural Systems
3.2.3. Energy Systems
3.3. Plastic Waste-Derived Nanoparticles
3.3.1. Biosensing, Bioimaging, and Biomedical Systems
3.3.2. Environmental Remediation
3.3.3. Energy Storage and Conversion Systems
3.3.4. Other Emerging Applications
3.4. Electronic Waste (E-Waste)-Derived Nanoparticles
3.4.1. Biomedical Systems
3.4.2. Advanced Photocatalytic and Energy Systems
3.4.3. Environmental Remediation Systems
3.4.4. E-Waste-Derived Materials for Metal Recovery and Catalysis
3.5. Industrial Waste-Derived Nanoparticles
3.5.1. Environmental Remediation Systems
3.5.2. Biomedical and Biological Applications
3.5.3. Other Novel Applications
4. Scale-Up and Translational Status of Waste-Derived Nanoparticles
5. Challenges in Waste-Derived Nanomaterial Synthesis Technologies
5.1. Potential Toxicity and Environmental Impact
5.2. Reproducibility and Batch-to-Batch Variability
5.3. Purification and Product Consistency
5.4. Cost and Economic Feasibility
5.5. Process Scalability and Standardization
6. Strategic Future Directions
- Standardization through advanced analytical frameworks: Future progress must prioritize analytical methods capable of identifying and controlling sources of variables driving batch-to-batch inconsistency. While variability is widely acknowledged, it is rarely quantified or incorporated into process design. Advanced techniques such as high-resolution spectroscopy, multi-omics profiling, and real-time monitoring can improve understanding of how feedstock composition influences nanoparticle formation. However, their high cost limits widespread adoption. Therefore, there is a need for cost-effective and scalable analytical tools that enable reproducibility across laboratories. Updating international standards to include harmonized sampling protocols and measurement methods will be essential for ensuring cross-study comparability and industrial acceptance [250].
- Pilot-scale validation and techno-economic integration: Transitioning from proof-of-concept research to pilot-scale studies is an important step in advancing WDNPs into real world applications. Pilot-scale facilities are essential to evaluate a more realistic assessment of synthesis under industrial conditions, where factors such as supply logistics, energy consumption and purification efficiency can be properly evaluated, which are often overlooked in small-scale laboratory studies. Techno-economic analysis (TAE) is equally important, as it provides quantitative insights into the economic feasibility of WDNP production, including capital investment, operational costs, process yields, reagent and energy requirements, and potential revenue streams, offering a comprehensive understanding of whether a given approach is commercially viable. Combining TAE with life-cycle assessment (LCA) provides a comprehensive framework, as it allows simultaneous evaluation of economic feasibility and environmental impact ensuring that proposed “sustainable” synthesis routes do not inadvertently introduce higher energy demands or secondary environmental burdens [251].
- Integration of machine learning (ML) and artificial intelligence (AI): These are emerging as powerful tools for accelerated discovery, optimization, and standardization [252]. AI-driven models can be used to mine many datasets with synthesis parameters, waste compositions, and NP properties to discover hidden correlations and to predict the optimal conditions for reproducibility, whereas machine learning can be used in image analysis for the assessment of an NP’s shape and size, thereby reducing operator bias and aiding in high-throughput characterization [253]. Beyond synthesis, AI also supports “Safe-by-Design” strategies by predicting biological interactions and toxicity prior to experimental validation. When integrated with TEA and LCA frameworks, AI can support holistic decision-making across environmental, economic, and technical dimensions [254].However, ML models generally require large volumes of standardized training data to perform reliably, and predictive accuracy and model transferability are reduced when input data are inconsistent, incomplete or limited. Chou et al. [255] noted that data scarcity remains a key challenge even for conventional NP systems and recommended the adoption of FAIR principles, ensuring that datasets are findable, accessible, interoperable and reusable, to support cross-study comparison and data harmonization. For WDNPs, this challenge is further compounded because feedstock composition can vary with geography, season, source type and processing conditions, adding another layer of inconsistency to model training.
- Comprehensive safety assessment: Current toxicity assessments of WDNPs remain insufficient, as they are largely based on short-term cytotoxicity assays that do not capture long-term or system-level effects. Future research must adopt multiscale and life-cycle-based evaluation frameworks that account for environmental transformations, chronic exposure, and ecological interactions. Advanced in vitro models, including three-dimensional organoids, combined with in vivo and ecotoxicological studies, are essential to replicate realistic biological complexity and for evaluating the risk related to bioaccumulation and trophic transfer [110]. Furthermore, the integration of omics-based approaches (e.g., toxicogenomics, proteomics) can provide mechanistic insights into NP–cell interactions [256]. A key gap remains in establishing standardized dose–response relationships and accurate dosimetry, particularly under environmentally relevant conditions. Without this, the risk assessment remains highly uncertain and difficult to translate into regulatory frameworks. Ultimately, safety assessment must shift from isolated toxicity testing to predictive, system-level risk evaluation, ensuring that WDNP deployment does not introduce unintended environmental or health risks.
- Socio-economic considerations and alignment with sustainability goals: Commercial adoption of WDNP technologies depends not only on technical feasibility but also on socio-economic and ethical considerations. For instance, WDNPs sourced from animal and biomedical waste may raise concerns about safety, hygiene and cultural acceptability. Transparent risk communications, clear product labelling, disclosure of materials origin, and provision of scientifically validated safety information are essential for building public trust. In addition, equitable access to WDNP technologies must be considered to avoid the exploitation of low-cost waste resources from vulnerable communities [257]. Aligning WDNP research with United Nations sustainable development goals (SDGs) provide a valuable framework for guiding responsible innovation. WDNPs have strong relevance to SDG 3 (health), SDG 6 (clean water), SDG 9 (innovation), and SDG 12 (responsible production). However, trade-offs must be carefully evaluated to avoid unintended environmental or economic consequences [258].
- Interdisciplinary collaborations and policy integration: Advancing WDNP technologies requires structured collaborations across disciplines and sectors. Collaboration between academia, industry, regulatory bodies, and non-governmental organizations is essential for developing shared infrastructure, data repositories, and standardized methodologies [259]. Effective integration of waste-derived nanotechnologies requires practical incentives that support circular economy approaches. Targeted incentives by the government, such as subsidies, tax benefits, and funding for pilot-scale infrastructure, can accelerate the adoption of waste-to-nanomaterial technologies and long-term investments. Importantly, collaborating with social scientists and ethicists on research frameworks can improve public engagement, address concerns and ensure ethical aspects are incorporated into technological development. Without such interdisciplinary and policy-driven approaches, WDNP technologies risk remaining confined to academic research rather than achieving meaningful environmental and industrial impact [259].
7. Conclusions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Synthesis Method | Technique | Underlying Principle | Key Applications | Advantages | Limitations | Ref. |
|---|---|---|---|---|---|---|
| Physical | Ball milling | Mechanical grinding via high-energy impact | Alloys, catalysts, ceramics, energy storage | Simple, low cost, large-scale production | High energy, impurity leaching, contamination from milling media | [19] |
| Electro-spinning | Electric field-driven fiber formation from polymer jets | Batteries, drug delivery, environmental remediation | Mimics extracellular matrix, high surface area | Needle clogging, high voltage risk, scaling challenges | [20] | |
| Evaporation-Condensation | Vaporization of bulk material in an inert gas and rapidly cooled | Metallic nanopowders, alloys; semiconductor | Ultra-high purity, avoids chemical or reducing agents | Extreme energy consumption, low production, high electrical demand | [21] | |
| Laser Ablation | Pulse-induced vaporization and rapid quenching | Sensors, catalysts, medicine | High purity, chemical and surfactant-free | High operational cost, energy intensive | [22] | |
| PVD | Vacuum-based thin film deposition | Biomedical, catalysts Optoelectronics | Uniform size, high purity, wear-resistant | Complex procedure, low yield, energy-intensive | [23] | |
| Chemical | Chemical Vapor Deposition | Gas-phase reaction on heated substrates | Semiconductor devices, energy storage, optical | High purity materials and thin films | Toxic gases, vacuum/high-temperature energy | [24] |
| Co-precipitation | Multiple ionic species precipitating simultaneously | Magnetic NP, superconducting ceramics, MRI contrast agents | Cost-effective, simple, requires low temperatures | Challenging to achieve narrow size distribution, highly sensitive to pH | [25] | |
| Micro-emulsion | Synthesis within surfactant- nanoreactors | Catalysts, optoelectronic, theranostics | Exceptional control on size and dispersity | Large volumes of toxic surfactants, complex purification | [26] | |
| Reduction | Conversion of metal ions via reduction | Antimicrobials, catalysis | Minimal equipment, easy to scale and modify | Toxic by-products, hazardous waste, high environmental risk | [27] | |
| Sol-Gel | Hydrolysis and condensation of liquid precursors | High-entropy alloys, corrosion-resistant, anti-reflective coatings, sensors | Molecular-level control, low processing temperatures | High precursor costs, significant volume shrinkage/cracking | [28] | |
| Sono-chemistry | Acoustic cavitation-induced radical formation | Biomedical, environmental remediation | Rapid kinetics, high yield, greener than pure chemical | Equipment erosion, precise control of frequency/power | [29] | |
| Biological | Bacterial | Enzymatic reduction via reductases and electron shuttling | Targeted drug delivery, bio-imaging, clinical diagnostics | Exceptional control over size, low energy consumption | Kinetically slow, biosafety risks | [17] |
| Fungal | Utilizes secreted protein and mycelial-based fermentation | Wound healing, catalysis, antifungal therapeutics | High biomass yield and stability, ease of handling in large-scale | High fungal debris require intensive downstream purification | [30] | |
| Macro- and Microalgal | Chelation and reduction via sulfonated polysaccharides | Biodiesel catalysis, biosensors, wastewater treatment | High biocompatibility, cost effective, highly scalable | High capital costs of equipment, sensitivity to light-flux fluctuations. | [31,32] | |
| Plant extracts | Synergistic redox reactions where phytochemicals reduce metal ions and provide stabilization | Biomedical, antimicrobial coatings, antioxidant, sensors | Rapid reaction kinetics, high scalability, does not require external stabilizing | Seasonal and geographical variability, batch-to-batch inconsistency in NP size. | [33] | |
| Yeast | Reduction and stabilization via glutathione and membrane-bound proteins | Quantum dot, sensors, antimicrobial, wastewater treatment | Extremely high tolerance to heavy metal toxicity, fewer toxic by-products | Low recovery efficiency, complex purification steps | [34] |
| Agro-Waste | Type of NPs | Size and Shape | Synthesis Technique | Recovery/Yield | Applications | Advantages | Limitation | Reference |
|---|---|---|---|---|---|---|---|---|
| Bamboo leaves | Ag | 32–35 nm; spherical | Plant-extract-mediated synthesis | NR | Antibacterial, antioxidant, anticancer | Simple synthesis, multifunctional bioactivity | Ag leaching risk in long-term use | [74] |
| Banana peel | Fe3O4 | 14.8 nm; spherical/elongated | Plant-mediated reduction using FeCl3·6H2O | NR | Antioxidant, food preservation | Low toxicity, renewable feedstock | Extract variability | [75] |
| Nanosilica | 68–170 nm; spheroidal | Ash pretreatment, acid leaching, alkaline solubilization | Reported graphically; exact value not stated in text | Nano-biopriming, seed germination, plant growth | Supports Bacillus subtilis and improves seedling performance | Soil microbiome effects and field-scale validation required | [70] | |
| Banana peel and date seed | ZnO | 50 nm; hexagonal | Aqueous extract-mediated synthesis | NR | Low cytotoxicity, therapeutics agents | Low cost, biocompatible synthesis | Feedstock variability; scale-up and purification | [76] |
| Chickpea peel | Carbon nanotubes (CNTs) | L: 114 nm; D: 7 nm | Low-temp pyrolysis | 20% pyrolyzed C recovery; final CNT yield NR | Bioimaging, Cytocompatibility for cancer cells | High conductivity & fluorescence, | Structural uniformity control | [77] |
| Citrus tree trimmings | CNPs | 50 nm; Spherical | Pyrolysis and nutrient KNO3 doping | NR | Foliar fertilizer for P. vulgaris | Integrates fertilization and sensing | Field-scale validation limited | [78] |
| Coconut husk | ZnO | 9–14 nm | Alkaline extract synthesis | NR | Photocatalysis | Avoid synthetic stabilizers, photocatalytically active | Alkali impurities | [79] |
| Coffee husk char | C-based nanofluid | 6.24 nm; near spherical | Pyrolysis, soaking, sonication, filtration and centrifugation | NR | Solar thermal conversion | High solar absorption and improved photothermal efficiency | Outdoor testing, corrosion and long-term cycling required | [65] |
| Corn husk | CoO/Co3O4 biochar catalyst | 2 nm | Cobalt impregnation, reduction and pyrolysis | 36.1% biochar/catalyst yield; Co oxide NP yield NR | Hydrogen generation | Highly dispersed cobalt oxide on waste biochar | Activity loss during reuse; leaching and regeneration need study | [66] |
| Corn stalk shell | Carbon QDs | 1.2–3.2 nm | Hydrothermal carbonization | NR | Bioimaging | Strong fluorescence, replaces toxic QDs | Scale-up energy use | [80] |
| Corn stover | CNC, CNF, LCNC and LCNF | Nanocellulose fiber | Nanocellulose extraction with lignin retention | NR | Pickering emulsions, quercetin delivery | UV protection, stable emulsions and improved bioaccessibility | Food safety, validation and in vivo studies required | [55] |
| Mushroom substrate | AgNP/ToCNF | 34 nm; nanofibers | TEMPO-oxidized CNF with in-situ AgNP synthesis | 43.21% CNF yield; final AgNP/ToCNF yield NR | Antibacterial biomaterials | Same waste used as cellulose source | Ag release, in vivo safety and long-term stability required | [71] |
| Orange peel | Ag | 16–95 nm | Extract-mediated bioproduction | NR | Antibacterial, antibiofilm | Low-cost, fast synthesis | Batch variability | [81] |
| Palm waste | Cellulose | 97 ± 8 nm; nanofibers | ScCO2 extraction and high-pressure homogenization | NR | Antibacterial, wound healing, skin regeneration | High porosity, biocompatibility | Energy intensive | [73] |
| Peanut Shell | Cu | Spherical & cubic | Enzyme-mediated Lignin peroxidase | NR | Broad antibacterial | Biocatalytic route offers specificity | Enzyme cost | [82] |
| Potato peel/ coriander | Ag | 64–70 nm; spherical | Biogenic synthesis (aqueous extracts) | NR | Antimicrobial, antioxidant, antitumor | Multi-functional bioactivity | Batch variability | [83] |
| Rice husk | SiNPs | 69–71 nm; spherical | Modified sol-gel synthesis | 18% recovery; 99% purity | Maize growth, drought stress mitigation, micronutrient uptake | Improved biomass, gas exchange and nutrient uptake | Higher doses caused mild growth inhibition; field validation required | [69] |
| Rice straw | CNF/Fe(OH)3/CMC hydrogel beads | 20–70 nm; beads | Cellulose extraction, mechanical defibrillation and Fe(OH)3 incorporation | CNF yield: 43% from raw fibers and 33% from extracted cellulose fibers; final bead yield NR | Phosphate recovery, slow-release fertilizer | Links wastewater remediation with fertilizer reuse | Field validation and long-term nutrient release studies required | [60] |
| SiNPs | 69–71 nm; spherical | Charring, alkaline extraction and hydrothermal synthesis | NR | Dye degradation, antibacterial activity | Strong photocatalytic and antimicrobial activity | UV dependence, reusability and wastewater testing required | [59] | |
| Sugarcane bagasse | Zn-integrated cellulose NPs | 341.5 nm; quasi-spherical | Cellulose extraction, zinc incorporation and acid hydrolysis | 67.8 ± 1.3% CNP-Zn yield; cellulose extraction yield 0.56 ± 0.01 g/g dry biomass | Antioxidant, biomedical, cosmetic, plant growth | Multifunctional activity and low hemolysis | Moderate anticancer potency; mechanistic and in vivo studies required | [72] |
| Tomato pomace, olive pomace, mandarin peel, grape seed | SeNPs | 118.9–211.5 nm; round | Pectin-stabilized synthesis with polyphenol functionalization | NR | Nutraceutical delivery, antioxidant activity | Improved biocompatibility and gastrointestinal stability | In vitro only; storage stability depends on polyphenol source | [56] |
| Watermelon peel | TiO2 QDs | 7 nm; polycrystalline | Extract-assisted hydrothermal synthesis | NR | Antioxidant; antimicrobial | Easy synthesis | Scale-up remains complex | [84] |
| Wheat Bran | Arabinoxylan-DNA | 150–200 nm; Spherical | Cationic modification and self-assembly | NR | Gene delivery in agrochemicals | Biocompatible | Stability and storage challenges | [85] |
| Animal Waste | Type of NPs | Size and Shape | Synthesis Technique | Recovery/Yield | Applications | Advantages | Limitations | Reference |
|---|---|---|---|---|---|---|---|---|
| Black soldier fly pupal exoskeletons | Chitosan | ~235 nm; spherical | STPP ionic gelation | 29.0 ± 0.2% chitin extraction yield; final yield NR | Antimicrobial biopolymer | Uses insect waste | Limited bacterial testing | [109] |
| Buffalo bones | Biogenic HAp NPs | 57–423 nm; spherical/bud-like | Hydrothermal treatment and calcination | HA phase purity 84.68 to 88.99%; final product yield NR | Bone defect repair | Improved bone healing in rats | High-temperature process | [107] |
| Chicken bile | Ag | 30–45 nm; spherical | Bile-mediated reduction | NR | Antibacterial, antibiofilm | Multifunctional therapeutic properties | Limited availability and variability, Ag toxicity | [121] |
| Chicken eggshells | CaO | 5–30 nm; Spherical | Thermal calcination (700 °C, 7 h) | NR | Antibacterial, antifungal, heavy metal adsorption | Abundant source, high purity | Energy-intensive, particle aggregation, alkalinity may alter soil/water pH | [112] |
| CaO nanorods | 50–275 nm; Hexagonal rods | Thermal calcination (900 °C, 1 h) | NR | Photocatalysis, antibacterial, electrochemical catalyst | Tunability enhances catalytic activity | Higher temperature increases energy demand | [110] | |
| ADA-GEL scaffolds | 540–585 nm; irregular | Milling and 3D printing | NR | Bone regeneration, 3D printed bone tissue scaffolds | Improved modulus and cytocompatibility | In vitro studies only | [108] | |
| N,S-doped CDs | 10 nm CDs | Green synthesis | NR | Metronidazole aptasensing | Sensitive contaminant detection | Limited field application due to storage requirements | [114] | |
| Chicken feather | Keratin NP-loaded alginate hydrogel | ~243 μm; Porous hydrogel | Keratin NP incorporation into alginate | NR | Dentin regeneration | Injectable; cytocompatible | In vitro only | [122] |
| Cockle shell | Nanocrystalline gypsum | 1–150 nm; plate-like | Acid precipitation | Gypsum purity 98.85 to 99.28%, final product yield NR | Industrial-grade gypsum production | High scalability, low toxicity | Acid handling hazards | [123] |
| Crab & mussel shells | Precipitated CaCO3 | 15–34 nm; Rod-like | Calcination and dissolution | Vaterite phase 91.2 to 98.9%, final PCC yield NR | Non-toxic vaterite-rich biomaterials | Useful for drug delivery, biocompatible | Phase stability issues | [124] |
| Donkey dung | AgNP-PLA nanofibers | ~335 nm fibers; cylindrical | Green synthesis and sequential blow spinning | NR | Antimicrobial, wound dressings | Low-cost precursor | Social acceptance, hygiene concerns, biosafety considerations | [125] |
| Fish bone | n-HAp | ~19.6 nm; rod-like | Thermal extraction/crushing | NR | Bone tissue engineering, osteo and dental | Composition mimics natural bone mineral, high feedstock | Variability in mineral composition, purification required | [126] |
| Fish scales | HAp | 10–30 nm; plate-like | Bead milling & force-spinning | NR | Biomedical | High crystallinity, biocompatible | Energy intensive | [127] |
| Mollusk shells | Nanocrystalline CaCO3 | <500 nm; spheroidal | Ball-milling mechanochemistry | NR | Medical-grade biomaterials | High scalability | High energy demand due to milling | [128] |
| Oyster shells | Mg-doped HAp NPs | 10–41 nm; variable shape | One-pot hydrothermal conversion | >99.5 wt% HAp phase transformation; final product yield NR | Bone tissue engineering | Cytocompatible; osteoinductive | Needs in vivo validation | [106] |
| Porous HAp NPs | Porous; surface area 55.7 m2/g | Pseudomorphic replacement | 87.6% HAp phase transformation; final product yield NR | Humic acid removal, water purification | High surface area; real-water testing | Regeneration and scale-up needed | [113] | |
| Salmon bones | n-HAp | 28.7 nm; near spherical | Enzymatic extraction & ball milling | NR | Targeted drug delivery | Safe, mild extraction routes | Enzymatic steps increase cost | [127] |
| Silk sericin | Sericin-capped AgNPs | 48–117 nm; spherical | Green reduction | NR | Antibacterial | Protein capping enhances stability | Ag ecotoxicity concerns, Ag cost limit scalability | [129] |
| Au/Ag bimetallic NPs | ~10 nm; Spherical | Green co-reduction | NR | Wound healing | Multifunctional therapeutic properties | Metal cost, release of metal ions is an environmental risk | [130] | |
| Shrimp shell | Frankincense-loaded chitosan NPs | 80–400 nm; morphology varies | Ionic gelation | 22.51% chitosan extraction yield; final NP yield NR | Antibiofilm, antimicrobial | Biocompatible, biodegradable; functional surface groups | Batch variability, allergen risk for shellfish-sensitive users | [131] |
| Plastic Waste | Type of NPs | Size and Shape | Synthesis Technique | Yield/Recovery | Applications | Advantages | Limitations | Reference |
|---|---|---|---|---|---|---|---|---|
| ELV plastic | Flash Graphene | ~13.8 nm lateral, ~0.358 nm interlayer | Two-step flash joule heating | 19–24% flash graphene yield; theoretical total recovery ~25% from raw plastic | Automotive foam reinforcement | Highly scalable with automotive recycling | Requires polymer purification | [156] |
| Face masks (PP) | Activated C | 2–12 nm; Micro/mesoporous | KOH activation | NR | Supercapacitors | Highly scalable, COVID waste valorization | KOH use, emissions during carbonization | [157] |
| HDPE plastic bags | Carbon dots | 1.0–4.5 nm; graphites | Pyrolysis and sonication | NR | Fe3+ sensing in water | Eco-friendly route; water sensing | Multi-step processing | [158] |
| LDPE/LIBs | NiCo alloy@ carbon nanotubes | NiCo (30 nm) inside CNTs (40–60 nm) | High-temp co-pyrolysis | Li recovery >98%; final NiCo alloy@CNT yield NR | Battery recycling, electro-catalysis | High catalytic activity | High-temperature process, metal recovery complexity | [159] |
| PET—bottle flakes | Carbon QDs | 1.6–5.5 nm; quasi-spherical | Hydro-thermal | Up to 48.13% carbon QD yield | Flame-retardant PET additives | Enhances PET performance; circular reuse | C QD separation and uniformity challenges | [160] |
| PET—textiles | PET carbon dots | 1.6–4.6 nm; spherical | Microwave glycolysis | NR | Fe3+ sensing, optoelectronic materials | High fluorescence; rapid synthesis | Glycolysis chemicals required | [161] |
| PET | Porous carbon | 0.5–2 nm; nanosheets | Pyrolysis and activation | 32.8% PET-PC yield in activation stage | Zn–I2 batteries | High surface area, energy storage | Chemical activation required | [162] |
| BNC/PVA-supported Pt NPs | 3.2 nm | PET hydrolysis + Pt loading | BNC yield 3.0 mg/mL; Pt-BNC/PVA catalyst synthesis yield 97% | Fuel cell catalyst | Low Pt loading, methanol oxidation activity | Multi-step, uses Pt | [150] | |
| PP | N-doped CNTs | Bamboo-like | Catalytic pyrolysis | NR | Antibiotic degradation | Complete sulfamethoxazole removal in 30 min | High temperature, water chemistry affects activity | [146] |
| Porous carbon sheets | 0.5–2.0 nm; micropores | Catalytic pyrolysis | NR | Supercapacitor electrodes | High surface area; good capacitance | Acid etching adds chemical burden | [163] | |
| PP and PS | Ni-Fe bimetallic nanocatalyst | 40 nm | Catalytic pyrolysis | Approximately 30% CNT yield from PS | Oil and CNTs | Highly scalable | Catalyst biomass-derived, high temperature | [155] |
| Mixed plastics | Flash graphene | 16–27 nm sheets; 4–6 layers | Flash joule heating | Variable; HDPE AC-FG yield 21 to 23%, final mixed-plastic ACDC-tFG yield NR | Graphene upcycling | Ultra-fast synthesis, high conductivity | High energy pulse, requires specialized equipment | [164] |
| Single-use waste plastic | rGO/Fe3O4 magnetic nanocomposite | rGO sheets | Pyrolysis, Fe3O4 loading | Final plastic-derived rGO yield NR; 5.75 g rGO/Fe3O4 obtained from 6 g rGO | Water purification, supercapacitor | Removes diclofenac/caffeine, 488 F/g capacitance | High temperature, acid treatment | [145] |
| Recycled PU | Ag-HNT/nHAp | Nanotubes, nanocrystals (<100 nm), Nanopores (169–235 μm) | Ring opening/urethane coupling | BHET 86%; PU prepolymer 90%; final scaffold recovery NR | Bone tissue regeneration scaffolds, antibacterial | Biocompatible, moderate scalability | Complex synthesis, multi-component control, biomedical regulation needed | [165] |
| E-Waste | Type of NPs | Size and Shape | Synthesis Technique | Yield/Recovery | Applications | Advantages | Limitations | Reference |
|---|---|---|---|---|---|---|---|---|
| Alkaline batteries | Zn-Mn Oxide | 60 nm; cylindrical | Hydrothermal/leaching | 57.1 wt% yield for ZnMnO | Photocatalytic BPA degradation | Converts battery waste into catalysts | Mixed metal phases, process complexity limit scalability | [192] |
| Batteries and sugarcane husk | Ag-MnO2/PIn nanocomposite | 12.6–18.86 nm; agglomerated nanoflakes | Green Ag synthesis and polyindole incorporation | NR | Antibacterial and anticancer activity | Strong antibacterial and cancer-cell inhibition | In vitro only; no normal-cell or in vivo validation | [177] |
| CPU—metal flakes | Au-loaded COF catalyst | 5–10 nm | Au recovery into synthetic COF | >99% Au captured; COF synthesis yields were 73% for TTF-COF and 77% for TPE-COF | CO2 fixation and alkyne carboxylation | Selective Au recovery and reusable catalysis | COF is synthetic; only Au is e-waste-derived | [189] |
| Dry-cell battery-graphite rods | rGO/Ag nanocomposite | 2.5 nm | Modified Hummers method and Ag reduction | NR | As(III) electrochemical sensing | Low detection limit for arsenite | Uses strong chemicals; limited reusability data | [193] |
| Dead cell phone battery copper foil | CuBTC MOF | Octahedral porous particles | Recovered Cu foil with BTC linker | CuBTC yield: 38% without stirring, 72% with stirring, 88% with HNO3 but impure, and 44% by hydrothermal synthesis | Bilirubin sensing | Converts battery Cu into diagnostic sensor | Uses DMF; tested mainly in artificial urine | [194] |
| Electric furnace dust | ZnO | Flake-like, nanorods | Chemical bath deposition | ZnO purity >98%; 84% of ZnO NPs remained on fabric after washing; final ZnO synthesis yield NR | Antibacterial fabric treatment | Metallurgical dust improves material safety | Potential heavy-metal impurities require purification | [195] |
| Electric cables | CuO NPs | 7–14 nm | Acid dissolution, NaOH precipitation, heating and drying | NR | Potential catalysis, sensing, antimicrobial | Simple synthesis and high CuO purity from copper-rich e-waste | Mainly characterization only, no direct application testing, uses strong acid and base | [187] |
| Graphene-Cuprous Oxide | 50–400 nm; Spherical | Surfactant chemical co-precipitation | NR | Electrochemical sensing | High-sensitivity electrochemical sensing | Energy intensive | [196] | |
| PCB | Au & TiO2 | 4.15 nm; Spherical | Deposition precipitation with urea | NR | High catalytic activity | Precious metal recovery, excellent catalysis | Costly recovery steps, complex separation | [197] |
| Ag | 76.91 nm; Spherical | Sodium borohydride chemical bath reduction | NR | Antimicrobial cotton textiles | High antimicrobial efficacy, value-added textiles | Chemical reagents increase ecotoxicity | [198] | |
| Ag | 0.3–0.6 µm; rod-shaped | Hydrothermal leaching and calcination | NR | Antioxidant activity | Good metal recovery | High temperature use, energy intensive | [199] | |
| Cu | 5–50 nm; spheres & rods | Ascorbic acid reduction and ammoniacal precipitation | Approximately 86 wt% Cu NP yield | High conductivity, catalysis and electronics | Requires standardized protocols for industrial use | [200] | ||
| CU/CuO | Cu: 343–460 nm; CuO: 20–31 nm | Ascorbic acid reduction and ammoniacal precipitation | 96.7% Cu recovery; final Cu/CuO NP yield NR | Antibacterial and photocatalytic (Rhodamine B) | Potential for wastewater treatment | Size heterogeneity may affect performance consistency | [201] | |
| Cu & Fe3O4 | 10–100 nm; spherical | Hydrometallurgical acid leaching and biological reduction | 80% recovery of Fe and Cu metals before NP reduction; final NP yield NR | Antifouling, environmental protection | Recovers multiple metals | Acid leaching produces secondary waste, metal purity variability | [202] | |
| PCBs and Prosopis juliflora biomass | Green synthesized CuO NPs | 15–25 nm; spherical/irregular | Cu leaching followed by plant-mediated synthesis | NR | DCF, BPA and CBZ removal from water | >90% removal, reusable for five cycles, includes LCA | Lab-scale batch study; acid leaching and calcination required | [188] |
| Zinc-carbon battery anode | CNPs@MoS2 and CNPs@WS2 | 100 nm | Coupling battery-derived CNPs with MoS2/WS | NR | Hydrogen evolution reaction | Improves conductivity and electrocatalysis | Only carbon is waste-derived | [184] |
| Industrial Waste | Type of NPs | Size and Shape | Synthesis Technique | Yield/Recovery | Applications | Advantages | Limitations | Reference |
|---|---|---|---|---|---|---|---|---|
| Coal tailings | Si/C | 30–60 nm | Planetary ball milling | NR | Potential adsorption, EOR, CCS | Simple top-down conversion | Mostly characterization only | [224] |
| Fly ash | Pt/TiO2 | 10–15 nm; spherical | Hydrothermal | NR | Industrial dye removal | Improved photocatalysis | Industrial adoption limited by Pt cost | [225] |
| Biosilica | 20–40 nm; spherical | Alkaline extraction | 20.45% biosilica yield; SiO2 purity increased to 93.63% | Adsorbents, fillers | Highly scalable, high purity | Chemical extraction generates alkaline effluent | [226] | |
| Iron tailing and Raney nickel waste | NiFe2O4 | 80–150 nm; elongated/spherical | Co-precipitation, calcination | NR | Dye degradation, antibacterial activity | Magnetic, reusable, visible-light active | High-temperature calcination | [215] |
| Oilseed meal | C | 24.4–48 nm; spherical | Hydrothermal carbonization | Microsphere yield 87 ± 6% | Antimicrobial; thermal protection of biomolecules | Haemocompatible, strong antimicrobial activity | Limited control over size distribution | [219] |
| Paper/Pulp Lignin | Lignin polymeric NPs | ~150 nm; self-assembled | High-pressure homogenization | HCPT loading 24.2 ± 3.1 wt%; encapsulation efficiency 74.4 ± 2.8%; final NP yield NR | Targeted drug delivery | Biocompatible; antioxidant; tunable surface | Batch variability from lignin source; purification required | [218] |
| Phosphogypsum | Ca-HAp | 50–57 nm | Calcination | NR | Pb removal from wastewater | Strong Pb2+ adsorption, scalable | Calcination energy cost | [227] |
| Nano-calcite | ~48 nm | Precipitation | Product purity 99%; final synthesis yield NR | Cementitious materials, agriculture, drug delivery | Utilizes Ca-rich waste, potential for construction materials | Impurities (e.g., radionuclides) possible | [228] | |
| Red mud | Core–shell nanogel | 213–705 nm; | Nanogel encapsulation | NR | Immobilization of As-bearing gypsum sludge | Stabilizes hazardous waste | Complex synthesis, scale-up challenging | [211] |
| FeO | 20 nm; spherical | Mechanical ball milling | NR | Arsenic removal (>82%) | Abundant waste source | Alkalinity and composition affect reproducibility | [210] | |
| Fe3O4/CS | 10–30 nm | Ultrasonic co-precipitation, chitosan coating | NR | As(III) removal | Magnetic recovery, 96.73% removal | Acid treatment, real wastewater testing needed | [213] | |
| Sludge-Paper mill | HAp | 45.422 nm, porous | Wet chemical precipitation | NR for final HAp yield; calcium extraction from paper sludge ash ~71% | Adsorbent, ion exchange | Low-cost Ca–P source, thermally stable | Variable composition affects purity | [229] |
| Sludge-Paint | Co-AC | 15–35 nm | Co impregnation, pyrolysis | NR; Co content 5.87 wt% | Tetracycline degradation | 97% removal in 5 min | PMS required, Co leaching risk | [230] |
| Sludge-Waste | Fe-doped biochar | 10–20 nm, sheet-like | Hydrothermal carbonization | NR | Rhodamine B degradation | High catalytic efficiency | Iron leaching risk, oxidant cost | [231] |
| Tires | CB | ~22 nm; chain-like agglomerates | One-step thermal transformation | ~81% yield; 81 g product from 100 g waste tire rubber | Energy storage, sensing, catalysis, pigments, concrete modification | Simple, low-cost, high-yield process; good thermal stability and conductivity | Oxidation level and impurity control remain important | [222] |
| C | 30–40 nm; spherical | High-temperature pyrolysis | NR | Energy storage; sensing | High carbon yield; removal of sulfur and Zn | Energy-intensive process; emissions control required | [221] | |
| C nanofibers | 425–881 nm; bamboo-shaped | Microwave-assisted pyrolysis | NR | Industrial gas purification, catalytic activity | Rapid synthesis | Catalyst residues, low scalability due to filtration | [223] |
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Share and Cite
Yadav, M.; Hodge, J.; Piva, T.J.; Geso, M.; Lynch, R.; Basheer, F.; Patterson, W.; Chapman, A.; Samarasinghe, R.M. Waste-Derived Sustainable Nanomaterials: Comprehensive Review of Synthesis Advances, Applications and Translational Challenges. Nanomaterials 2026, 16, 792. https://doi.org/10.3390/nano16130792
Yadav M, Hodge J, Piva TJ, Geso M, Lynch R, Basheer F, Patterson W, Chapman A, Samarasinghe RM. Waste-Derived Sustainable Nanomaterials: Comprehensive Review of Synthesis Advances, Applications and Translational Challenges. Nanomaterials. 2026; 16(13):792. https://doi.org/10.3390/nano16130792
Chicago/Turabian StyleYadav, Mahima, Jason Hodge, Terrence J. Piva, Moshi Geso, Rod Lynch, Faiza Basheer, William Patterson, Alison Chapman, and Rasika M. Samarasinghe. 2026. "Waste-Derived Sustainable Nanomaterials: Comprehensive Review of Synthesis Advances, Applications and Translational Challenges" Nanomaterials 16, no. 13: 792. https://doi.org/10.3390/nano16130792
APA StyleYadav, M., Hodge, J., Piva, T. J., Geso, M., Lynch, R., Basheer, F., Patterson, W., Chapman, A., & Samarasinghe, R. M. (2026). Waste-Derived Sustainable Nanomaterials: Comprehensive Review of Synthesis Advances, Applications and Translational Challenges. Nanomaterials, 16(13), 792. https://doi.org/10.3390/nano16130792

