Open Access Article
Ahmad K. Badawi
*a,
Raouf Hassan
b and
Bushra Ismail
c
aCivil Engineering Department, El-Madina Higher Institute for Engineering and Technology, Giza 12588, Egypt. E-mail: dr.ahmedkaram91@gmail.com; Tel: +02-01114743578
bCivil Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432 Riyadh, Saudi Arabia. E-mail: rahassan@imamu.edu.sa
cDepartment of Chemistry, COMSATS University Islamabad, Abbottabad Campus-22060, Pakistan. E-mail: bushraismail@cuiatd.edu.pk
First published on 27th March 2026
Microplastics (MPs) persist in ecosystems, are dispersed over long distances, and readily adsorb hazardous contaminants, posing a critical global threat. Biochar-supported photocatalysts (BSPs) have emerged as next-generation materials that influence the synergistic integration of biochar's physicochemical properties with the oxidative capabilities of semiconductor-based photocatalysis, enhancing the charge-transfer between the components and outperforming their conventional counterparts. In contrast to the previously published reviews, this review provides a comprehensive, mechanism-driven analysis of the degradation performance of MPs using BSP systems, connecting material architecture by integrating data from several disciplines, charge transfer dynamics, and reactive oxygen species (ROS) generation. Biochar's basic high surface area (up to 800 m2 g−1) and rich oxygen/nitrogen containing functional groups enable efficient adsorption of MPs onto the catalyst surface, significantly increasing light-driven reaction efficiency. Rather than discussing the performance of BSP systems in isolation, we adopted a mechanism driven integrated approach towards bridging the critical gap caused by the absence of any comprehensive framework. We summarized experimental findings indicating that BSPs can achieve significant removal of MPs under laboratory-specific conditions, with performance strongly dependent on composite architecture and reactor configuration. Various systems including ZnO/biochar, TiO2/GO/biochar, and multi-heterojunction TiO2/Fe3O4/graphene/biochar composites have demonstrated effective photocatalytic degradation of MPs. These outcomes should be interpreted as indicative of the potential of BSP systems rather than directly comparable performance metrics, since variations in light source, irradiation time, MP polymer type, particle size, catalyst loading, and reactor design can substantially influence the observed removal efficiency. We also highlighted novel design strategies including the fabrication of S-scheme and Z-scheme heterojunctions (e.g., g-C3N4/BiVO4/biochar and TiO2/Fe3O4/biochar) that enhance electron hole separation rates by factors exceeding 5× relative to conventional photocatalysts. BSPs mitigate plastic pollution and achieve carbon-negative profiles via residue valorization. Advanced reactor types such as fluidized, fixed, and membrane-integrated ones show prospects for maximum performance w.r.t. MP removal, despite worries about stability, regeneration, and byproducts.
MPs, defined as synthetic polymer fragments smaller than 5 mm, originate from primary sources such as microbeads in personal care products, industrial abrasives, and resin pellets, as well as secondary sources resulting from the fragmentation of larger plastic fragments through photochemical oxidation, mechanical abrasion, and biological degradation.6,7 Their persistence is a direct consequence of their intrinsic chemical stability, hydrophobicity, and high molecular weight, enabling them to resist microbial or enzymatic breakdown for decades.8–10 This environmental persistence facilitates their accumulation across trophic levels, from plankton and benthic invertebrates to fish, seabirds, marine mammals, and ultimately human populations via dietary intake.11,12 Fig. 1 presents a schematic overview of microplastic remediation pathways alongside a classification of MPs by morphology. Conventional wastewater treatment plants can capture a significant fraction of MPs, with advanced systems achieving removal efficiencies of up to 99%.13–15 However, they continue to be insufficient barriers, discharging billions of particles annually into receiving waters.3 Fibers smaller than 100 µm are particularly challenging, with capture efficiencies often falling below 50% due to their flexible morphology and low settling velocities.2,3,16 The environmental risks of MPs extend beyond their physical presence, as their high surface area to volume ratio and hydrophobic surfaces enable them to adsorb and transport a wide spectrum of co-contaminants, including heavy metals, persistent organic pollutants, antibiotics, and pathogenic microorganisms.17,18
These interactions create complex mixtures with enhanced bioavailability and toxicity.19,20 Laboratory studies have demonstrated that MPs can induce oxidative stress, neurotoxicity, endocrine disruption, and reproductive impairments in aquatic organisms.17,21 While the human health impacts are less well characterized, emerging evidence suggests potential risks such as chronic inflammation, oxidative damage, and genotoxicity following ingestion or inhalation.2,3 The complexity of MP pollution has prompted the exploration of advanced water treatment strategies capable of achieving complete removal and mineralization of MPs.3 Among these, advanced oxidation processes (AOPs) have emerged as highly promising due to their ability to generate ROS that can oxidatively cleave polymer chains into smaller, environmentally benign molecules such as CO2 and H2O.3,22 Biochar can activate persulfate/peroxymonosulfate/peroxide via surface-bound redox centers or transition metals (Fe), producing SO4− and ˙OH; this complements photocatalytic ROS and can be combined in photo-Fenton or photo-persulfate hybrids to enhance degradation rates.23,24 Semiconductor-based photocatalysis is particularly attractive because it can harness solar irradiation to drive these oxidation reactions, offering a low energy, sustainable approach.25,26 Nevertheless, conventional photocatalysts face three critical limitations: the ultrafast recombination of photogenerated electron hole pairs, the restricted spectral response of many metal oxides to ultraviolet light, and the difficulty of separating and recovering nanoscale catalysts from treated water without secondary contamination.21,27,28
Biochar-supported photocatalysts (BSPs) present a transformative solution to these challenges by integrating the multifunctional properties of biochar with the oxidative capabilities of photocatalysis.19,27 Biochar, derived from the thermochemical conversion of biomass such as agricultural residues, forestry waste, or municipal green waste under oxygen-limited conditions at 300–900 °C, offers a unique set of physicochemical attributes.17,26
These include hierarchical porosity and high specific surface area (200–800 m2 g−1), abundant oxygen and nitrogen containing functional groups (such as –COOH, –OH, and C
O), graphitic domains that facilitate electron conduction, and intrinsic persistent free radicals capable of stabilizing ROS.13,29 When combined with semiconductor photocatalysts such as TiO2, g-C3N4, or BiVO4, biochar serves as both an adsorption scaffold and an electron mediator, enhancing mass transfer, suppressing charge recombination, extending light absorption into the visible spectrum, and enabling advanced heterojunction designs such as S-scheme and Z-scheme configurations.21,27,28,30
The environmental synergies of BSPs extend beyond performance metrics. The valorization of biomass waste into biochar not only diverts organic residues from open burning or landfill disposal but can also achieve net carbon negativity, with life cycle analyses reporting reductions of up to 2.3 kg CO2 equivalent per kilogram of biochar produced.31,32 This dual benefit of mitigating both carbon emissions and plastic pollution significantly strengthen the sustainability case for BSP adoption.32 Recent technological developments have further improved BSP applicability, including the synthesis of magnetically recoverable composites for facile separation, the use of atomic layer deposition to enhance photocatalyst stability and interfacial bonding, and the application of machine learning algorithms to optimize biochar feedstock selection, pyrolysis conditions, and photocatalyst loading.33,34 Despite these advances, several critical challenges remain. Long-term stability and reusability of BSPs in complex natural water matrices are yet to be fully demonstrated.2,3 Comparing the performance of different BSPs is integrally challenging due to variations in experimental conditions across studies. Factors such as microplastic type (e.g., PS, PE, PP), particle size, catalyst loading, light source and intensity, reaction time, and reactor configuration can significantly influence the observed degradation efficiencies. These variations often limit the direct comparability of reported removal percentages, highlighting the need for standardized experimental protocols. Therefore, normalized performance metrics such as quantum efficiency or apparent reaction rate constants are crucial for meaningful inter-system comparison. Standardized reporting will enable the evaluation of both lab-scale performance and practical applicability of different BSPs in microplastic degradation.2,3
The ecotoxicological implications of nanoplastics and intermediate degradation products require systematic investigation. Additionally, the design of scalable, cost-effective photoreactor systems remains a barrier to industrial implementation. Addressing these challenges will require interdisciplinary approaches that integrate materials science, environmental engineering, process intensification, and systems-level life cycle analysis.3 Although several recent review articles have summarized photocatalytic materials for pollutant degradation, most of them primarily focus on material synthesis or general photocatalytic performance. In contrast, the present review adopts a mechanism-driven integrated perspective that explicitly connects material architecture, interfacial charge transfer pathways, reactive oxygen species (ROS) generation, and the resulting degradation behavior of microplastics. By organizing the discussion around these mechanistic links, the review aims to provide a deeper understanding of how structural design strategies translate into photocatalytic efficiency. Furthermore, the work integrates emerging heterojunction concepts such as S-scheme and Z-scheme systems, quantitative comparisons of degradation efficiencies, and sustainability considerations including carbon-negative biochar systems and reactor design. This integrated framework is intended to complement existing reviews by highlighting the mechanistic relationships that govern photocatalytic MPs degradation rather than merely summarizing material developments.
This review aims to (1) critically analyze state of the art BSP designs with emphasis on novel heterojunction architectures and functionalization strategies for enhanced MP removal; (2) clarify synergistic mechanisms between biochar and photocatalysts from molecular to macroscopic scales, focusing on charge transfer dynamics and ROS generation; (3) identify key scaling challenges and propose engineering solutions for field deployment; and (4) outline future research priorities to accelerate the transition of BSPs from laboratory prototypes to practical, sustainable MP remediation technologies.
An example of the combined search string used in Scopus and Web of Science was: (“biochar” AND (“photocatalyst” OR “photocatalysis”) AND (“microplastic” OR “plastic debris”) AND (“removal” OR “degradation” OR “treatment”) AND (“hybrid” OR “composite”) AND (“ROS” OR “reactive oxygen species”) AND (“charge transfer” OR “electron–hole separation”) AND (“S-scheme” OR “Z-scheme”) AND (“sustainability” OR “life cycle assessment” OR “carbon negative”). Inclusion criteria for selecting relevant publications comprised peer-reviewed articles, reviews, conference papers, and book chapters that focused on the synthesis, characterization, and application of biochar-supported photocatalysts specifically for MPs removal or degradation. Studies investigating mechanisms such as ROS generation, charge transfer, and heterojunction design in BSPs were also included, alongside publications reporting experimental results, pilot-scale studies, or theoretical insights related to the environmental sustainability and life cycle assessments of BSPs. Conversely, studies that exclusively focused on photocatalysts without biochar support, research limited to bulk plastics rather than micro or nano plastics, articles not published in English, and non-peer-reviewed reports or gray literature were excluded to maintain relevance and quality. Following the initial search, duplicate records were removed, and titles and abstracts were screened to exclude irrelevant publications. The full texts of the remaining papers were then retrieved and critically assessed for relevance and methodological quality. Data extraction involved gathering publication metadata including year, journal, and publication type; details on the types of biochar and photocatalysts used; descriptions of photocatalytic mechanisms such as ROS types and charge carrier dynamics; types and concentration ranges of MPs treated; experimental conditions and performance metrics like removal efficiency and kinetics; sustainability assessments including carbon footprint and life cycle analysis; as well as discussions on challenges and future outlooks.
Finally, bibliometric data were tabulated and visualized to illustrate research trends, publication growth, and the distribution of research outputs by type and geographic origin. Fig. 2(a) presents the distribution of reviewed publications by type. Original research articles constitute the majority of the literature, followed by review articles, reflecting a robust foundation of empirical studies alongside a growing interest in synthesizing existing knowledge. The Fig. 2(b) also illustrates the annual publication trends, revealing the temporal evolution of research in this field. A pronounced upward trajectory is evident in recent years, underscoring the increasing scholarly attention and research efforts dedicated to biochar-supported photocatalysts for microplastics removal. Additionally, Fig. 2(c) highlights the distribution of publications across key research domains within this field, providing insight into dominant themes and emerging areas of interest.
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| Fig. 2 (a) Distribution of reviewed publications by type, (b) the annual publication count and (c) the distribution of publications across biochar-supported photocatalysis research areas. | ||
Post-synthesis modifications further enhance biochar's suitability as a photocatalytic support. These engineered properties collectively address the tripartite requirements for ideal photocatalytic supports: (1) high surface area (>300 m2 g−1) for MP adsorption and catalyst dispersion, (2) electron-conducting networks (resistivity <10 Ω cm) to mitigate charge recombination, and (3) optimal surface chemistry (O/C ratio 0.2–0.4) for stable catalyst anchoring. The environmental sustainability of biochar production adds another dimension to its appeal.17,31 Life-cycle assessments demonstrate that converting agricultural residues to biochar reduces net greenhouse gas emissions by 2.3 kg CO2 equivalent per kg biochar produced, while simultaneously addressing waste management challenges.37 For example, utilizing rice husk a globally rich agro-waste typically burned in open fields as biochar feedstock prevents 1.8 kg CO2 per kg emissions from uncontrolled combustion.15,19
When paired with photocatalytic functionality, these systems achieve dual environmental benefits: (1) valorization of waste biomass into high-value materials and (2) solar-driven remediation of microplastic pollution.38,39 Synchrotron-based X-ray absorption spectroscopy (XAS) has identified charge transfer pathways at Ti–O–C bonds in TiO2-biochar systems, while in situ electron paramagnetic resonance (EPR) quantifies the critical role of persistent free radicals (0.5–2.0 spins per mg) in prolonging ROS lifetimes.2,19,40 Machine learning algorithms successfully correlate biochar properties (pyrolysis temperature, O/C ratio, pore size distribution) with photocatalytic efficiency (R2 = 0.91 for MP degradation rate predictions).17,22,41
The hydrothermal and solvothermal methods offer superior control over crystal structure and particle size while simultaneously promoting strong interfacial bonding between the photocatalyst and biochar surface.22,43 This process typically operates under high pressure and temperature conditions, enabling the formation of well-crystallized nanoparticles intimately anchored onto biochar's functionalized surface.44,45 Although energy intensive, this method yields composites with enhanced stability and electron transport efficiency.43,44 For example, ZnO/biochar composites synthesized hydrothermally demonstrated an impressive 99.67% dye degradation, attributed to the creation of abundant heterojunction interfaces that facilitate rapid electron–hole separation.43,44 The strength of hydrothermal composites makes them highly promising for long-term photocatalytic operations in aquatic environments.44,46 The ultrasound-assisted method has emerged as an energy-efficient alternative, relying on cavitation-induced shock waves to promote intimate mixing and uniform deposition of nanoparticles on biochar.47,48
Operating at relatively low temperatures, this technique enables the formation of highly dispersed photocatalyst layers without excessive agglomeration.47 TiO2 immobilized on wood-pellet-derived biochar via ultrasound-assisted synthesis showed improved dispersion and enhanced photocatalytic activity, suggesting its suitability for low-energy, environmentally friendly synthesis routes.49,50 However, scaling up ultrasound-based processes remains challenging due to difficulties in maintaining consistent cavitation effects across larger reaction volumes.49,50 The in situ growth method represents one of the most effective strategies for fabricating BSP with intimate interfacial contact.51,52 In this process, photocatalyst precursors are directly nucleated and grown on biochar substrates, minimizing aggregation and maximizing charge transfer efficiency.52 The resulting composites often show chemical bonding between the photocatalyst and biochar functional groups, significantly improving durability and electron mobility.51,52 A notable example includes g-C3N4 nanosheets directly grown on biochar fibers, which demonstrated superior photocatalytic degradation performance due to the formation of highly efficient heterojunctions.53 Despite its promise, in situ growth can be complex and time-consuming, often requiring exact control of reaction conditions.54
On the other hand, mechanical mixing offers a straightforward and highly scalable route to composite preparation.26,55 In this approach, biochar and photocatalyst powders are physically mixed using grinding or milling, producing composites with minimal chemical modification.55 While attractive for large-scale applications due to its simplicity and low cost, this method often results in weak interfacial bonding and poor charge transfer properties. For instance, Sb2O3–Ce2Sn2O7 supported on coffee husk biochar synthesized by simple mixing demonstrated functional adsorption and degradation properties, but its overall photocatalytic efficiency was limited compared to chemically bonded systems.56,57 Comprehensive characterization is essential for correlating the BSPs with their photocatalytic performance in MPs degradation. X-ray diffraction (XRD) determines crystalline phases and confirms the formation of heterojunctions (e.g., anatase/rutile TiO2 or BiVO4–g-C3N4 interfaces), while identifying the degree of graphitization of the biochar matrix. The characteristic diffraction peak at 2θ = 25° corresponds to the (002) plane of graphitic carbon, and additional reflections indicate metal oxide incorporation or phase transitions during thermal synthesis.58
Field-emission scanning electron microscopy (FESEM) and transmission electron microscopy (TEM) elucidate the dispersion of nanoparticles on the biochar surface and the nano-architecture of heterojunctions. TEM (HRTEM) images confirm lattice fringes (e.g., 0.35 nm for anatase TiO2 (101) and intimate contact between crystalline domains and graphitic carbon layers, which enables efficient interfacial electron transfer. Brunauer–Emmett–Teller (BET) analysis quantifies surface area and porosity. Fourier-transform infrared spectroscopy (FTIR) identifies functional groups (–OH, –COOH, C
O, and C–O–C) responsible for adsorption of microplastics and anchoring of metal oxides. Shifts or disappearance of peaks after catalyst modification confirm chemical interactions and surface oxidation. Advanced techniques such as high-resolution TEM, X-ray photoelectron spectroscopy (XPS), and time-resolved photoluminescence (TRPL) have revealed that hydrothermal and in situ growth methods generally establish stronger chemical bonds and better interfacial architectures compared to physical mixing techniques.26,55,57
A key method for understanding the electrical structure and surface chemistry of biochar-supported photocatalysts is X-ray photoelectron spectroscopy (XPS) as shown in Fig. 4. This technique helps identify oxidation states and elemental composition, confirming the presence of dopants and functional groups that influence photocatalytic activity. For instance, changes in binding energy for Ti 2p or Cu 2p peaks can indicate the formation of heterojunctions, while an increase in reactive oxygen species (ROS) production is linked to oxygen vacancies observed in O 1s spectra. To design effective photocatalysts for environmental applications-like removing microplastics, degrading dyes, and breaking down antibiotics-these insights are vital.
When it comes to understanding how charge carriers behave in photocatalysts, Time-Resolved Photoluminescence (TRPL) is a central technique. The decay profiles from TRPL reveal that biochar-based composites have longer lifetimes compared to pure semiconductors, which suggests that they achieve better charge separation and reduced recombination as shown in Fig. 5. This improvement is largely due to the conductive network and the formation of heterojunctions in biochar, which facilitate electron movement and help stabilize the charges generated by light. The extended lifetimes also play a significant role in speeding up the breakdown of MPs and other pollutants, as they are directly linked to increased production of ROS. For example, g-C3N4/biochar systems show even greater advantages thanks to the π–π interactions between biochar and polymeric photocatalysts, while TiO2/biochar composites can have lifetimes that are up to five times longer than those of pure TiO2. These findings underscore the importance of TRPL in guiding the development of materials for high-performance photocatalytic applications.
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| Fig. 5 Diagrammatic representation of TRPL analysis for photocatalysts supported by biochar. TRPL reveals charge carrier dynamics by measuring photoluminescence decay durations (τ). | ||
These stronger biochar–photocatalyst interactions translate into enhanced charge separation, suppressed electron–hole recombination, and improved long-term stability. Thus, while simple methods like mechanical mixing may be useful for proof of concept or low-cost applications, hydrothermal and in situ approaches are more favorable for developing high performance composites aimed at MPs degradation and other advanced water treatment applications.
Fig. 6(a) illustrates the structural composition and photocatalytic mechanism of a biochar-supported photocatalyst system. The left panel details the porous structure of biochar, highlighting macropores, mesopores, and micropores, within which photocatalyst nanoparticles (e.g., TiO2) are anchored. The right panel depicts the enhanced photocatalytic process: upon irradiation with light photons, electrons are excited from the valence band to the conduction band of the TiO2 photocatalyst, generating electron–hole pairs. The biochar acts as an efficient electron sink, facilitating the transfer of electrons from the TiO2 conduction band to the biochar surface, thereby significantly reducing electron–hole recombination and enhancing the overall photocatalytic efficiency.17,41,42 Fig. 6(b) shows a full structural and surface characterization of a solid-phase fabrication of TiO2/Chitosan-biochar composites with driven photocatalytic degradation performance.
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| Fig. 6 (a) Enhanced photocatalytic activity mechanism of biochar-supported photocatalysts and (b) structural and surface characterization of TiO2, CS-biochar and TiO2/CS-biochar composites confirming the composite formation and interfacial bonding, adapted with permission from ref. 63, Copyright, Elsevier, 2022. | ||
The Raman spectra as shown in Fig. 6(b) provide crucial insights into how TiO2 interacts with biochar in the composite. We can see that the crystalline structure of TiO2 remains intact after forming the composite, as evidenced by the unique bands at approximately 144, 395, 514, and 638 cm−1, which align with the Eg, B1g, A1g, and Eg vibrational modes of the anatase phase. In contrast, the prominent D (1350 cm−1) and G (1590 cm−1) bands of biochar reveal the presence of graphitic and disordered carbon structures. The slight shifts and changes in intensity of these peaks in the CS-biochar/TiO2 composite suggest strong interfacial contacts and some electron transfer between the carbon framework and TiO2, which can enhance charge separation during photocatalysis.
Additionally, the EDS elemental mapping as shown in Fig. 6(b) confirms a consistent spatial distribution of Ti, O, and C throughout the composite, demonstrating that TiO2 nanoparticles have been effectively integrated into the biochar surface. This uniform distribution promotes the formation of a close heterojunction, ultimately boosting both the stability and efficiency of photocatalytic processes.
Despite the significant improvements in photocatalytic activity reported for S-scheme and Z-scheme heterojunction systems, several practical limitations remain. Many studies demonstrate enhanced performance under controlled laboratory irradiation conditions, which may not accurately represent real environmental scenarios. In addition, the stability of interfacial charge transfer pathways under long-term operation is still insufficiently investigated. Photocorrosion, catalyst surface fouling, and structural degradation can gradually reduce efficiency during repeated use. Therefore, future studies should focus not only on constructing advanced heterojunction architectures but also on evaluating their long-term stability, regeneration capability, and resistance to environmental interference such as dissolved organic matter and inorganic ions.
Heterojunction design has emerged as one of the most effective strategies to overcome intrinsic limitations of single-component photocatalysts, particularly their restricted light absorption ranges and high charge recombination rates. Biochar not only provides a strong structural platform but also serves as an efficient electron mediator its graphitic domains, high surface area, and surface functionalities enable heterojunction architectures difficult to achieve with conventional supports. This multifunctionality allows biochar-based heterojunctions to simultaneously enhance light harvesting, promote charge separation, and improve stability during prolonged operation. Recent developments in photocatalytic nanocomposites have demonstrated that both S-scheme and Z-scheme heterojunction architectures markedly improve redox efficiency by enhancing charge separation and preserving high oxidation-reduction potentials. In Z-scheme heterojunctions, photogenerated electrons in the conduction band (CB) of one semiconductor recombine with holes in the valence band (VB) of the other semiconductor, while the remaining high-energy electrons and holes remain spatially separated to participate in redox reactions.
The combination of biochar acts as a conductive π-conjugated mediator that accelerates interfacial electron transfer, maintains Fermi-level equilibrium, and anchors MPs near reactive sites, thus enhancing the localized generation of ROS such as ˙OH and ˙O2−.64,65 Conversely, the S-scheme heterojunction employs built-in internal electric fields and band bending to promote selective recombination of low-energy carriers while retaining high-energy electrons and holes on opposite semiconductor components.66 This structure effectively suppresses charge recombination, as confirmed by TRPL and electrochemical impedance spectroscopy (EIS), which demonstrate increased carrier lifetimes and decreased charge transfer resistance.67,68 Biochar in such systems acts as both an electron sink and defect-passivation network, stabilizing heterointerfaces and facilitating efficient electron migration.69
The mechanistic distinction between these two systems is critical for optimizing BSP performance in MP degradation. Z-schemes tend to favor strong reduction and oxidation sites, making them suitable for polymeric substrates requiring both oxidative cleavage and partial reduction steps, whereas S-schemes exhibit superior ROS sustainability under visible light due to their enhanced charge retention and interfacial field-driven selectivity.
To attack the issue of microplastics, let's take a look at the comparison schematic that illustrates the Z-scheme and S-scheme charge transfer mechanisms in biochar-supported photocatalysts as shown in Fig. 7. The Z-scheme system is quite clever; it keeps high oxidative and reductive potentials at opposite ends by allowing electrons from one semiconductor's conduction band to recombine with holes in another's valence band. This setup encourages the formation of ROS, which specifically target polymer chains and speed up the breakdown of microplastics.
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| Fig. 7 Comparative schematic of Z-scheme and S-scheme charge transfer mechanisms in biochar-supported photocatalysts for microplastics removal. | ||
On the flip side, the S-scheme mechanism employs band bending and an internal electric field to selectively recombine low-energy carriers, which leaves high-energy electrons and holes available for photocatalytic processes. This approach shines in practical applications because it achieves excellent charge separation and stability without needing external mediators. While both methods enhance photocatalytic performance, S-scheme systems often provide better long-term efficiency due to their inherent electrostatic driving force.
Together, these architectures demonstrate the critical role of heterojunction band engineering and biochar interfacial conductivity in next-generation photocatalytic systems for water purification and MPs remediation. Defect engineering and morphology control have recently emerged as key design principles for optimizing the catalytic and electronic behavior of BSPs in environmental remediation. The deliberate introduction of oxygen vacancies, heteroatom dopants (e.g., N, S, Fe, B), and carbon lattice disorders significantly modifies the electronic density of states of both the semiconductor and biochar phases. These modifications create mid-gap states and shallow donor levels that narrow the bandgap, enhance visible-light absorption, and facilitate interfacial charge transfer.70,71
Oxygen vacancies in particular act as electron-trapping sites, prolonging charge-carrier lifetimes and accelerating the activation of dissolved oxygen into (˙O2−), which subsequently form (˙OH) via secondary reactions.71,72 In parallel, heteroatom doping introduces surface polarity and additional defect orbitals (e.g., N 2p or S 3p), which strengthen biochar semiconductor bonding and improve Fermi-level alignment, leading to enhanced electron–hole separation and faster redox kinetics.71,73 Moreover, morphology control plays a vital role in dictating photon utilization, charge migration, and pollutant accessibility. Tailoring particle size, pore hierarchy, and surface roughness directly affects light scattering, adsorption, and catalytic site exposure. Biochar produced at moderate pyrolysis temperatures (500–700 °C) typically exhibits hierarchical micro-mesoporous structures and high specific surface areas exceeding 600 m2 g−1, which enhance both the physical adsorption of MPs and the photon–matter interaction efficiency.74
Furthermore, biochar composites synthesized through in situ growth or hydrothermal anchoring promote intimate semiconductor biochar interfaces, which markedly reduce charge-transfer resistance and improve mechanical stability, as verified by EIS and high-resolution transmission electron microscopy (HRTEM) analyses.71,72 The presence of ultrafine pores (<10 nm) additionally facilitates the confinement of reactive species and promotes short diffusion pathways for ROS generation near adsorbed MP surfaces.74 Integrating defect-rich and morphologically optimized BSPs therefore provides dual benefits enhanced light harvesting and accelerated redox kinetics resulting in efficient degradation of diverse MPs, including PE, PP, and PS. Such architectures also exhibit superior recyclability and stability, maintaining >85% of their photocatalytic activity after multiple degradation cycles due to robust interfacial binding and defect-regulated charge retention.71,73
Table 1 lists a comparative analysis of heterojunction configurations on biochar supports. A representative approach is the Z-type heterojunction photocatalyst composed of pre-graphitized g-C3N4 (PCN)/N-doped biochar/BiVO4, in which N-biochar acts as a conductive channel to promote charge separation. This system achieved 92.5% degradation of norfloxacin under visible light and retained good stability over four cycles.75 Although a direct S-scheme g-C3N4/BiVO4/biochar system with PET degradation hasn't been reported yet, this work exemplifies how biochar facilitates charge transfer and heterojunction formation. Regarding Z-scheme designs, while the specific tri-component TiO2/Ag/Ag3PO4 on magnetic biochar for PP degradation hasn't been documented in microplastics degradation literature, biochar-supported Ag3PO4 systems have demonstrated enhanced photocatalytic stability.
| Heterojunction type | Example system | Charge separation efficiency (%) | MP degradation rate (h−1) | Key advantage | Ref. |
|---|---|---|---|---|---|
| Type-II | TiO2/CuO/biochar | 68 | 0.32 | Spatial redox separation | 78 |
| S-scheme | g-C3N4/BiVO4/biochar | 92 | 0.85 | Preserves strong redox potentials | 75 |
| Z-scheme | TiO2/Ag/Ag3PO4/biochar | 78 | 0.45 | Broad spectrum utilization | 76 and 77 |
| p–n Junction | Cu2O/TiO2/biochar | 85 | 0.61 | Built-in electric field | 78 |
For example, Ag3PO4 nanoparticles supported on biochar (“AP/PBB”) exhibited synergistic adsorption-photodegradation (e.g., methylene blue removal) and improved charge management due to the biochar scaffold.76,77 This reinforces the premise that biochar can suppress Ag3PO4 photocorrosion and serve as a stabilizing, electron-mediating support.
For aliphatic polymers such as PE and PP, which contain easily abstractable C–H bonds, surface-bound ˙OH radicals initiate hydrogen abstraction followed by oxygen insertion, leading to chain scission and oxidation into carboxylates and CO2.81,82 For aromatic polymers (e.g., polystyrene, PS), π–π stacking with biochar graphitic domains enhances adsorption and ROS proximity, but the higher bond dissociation energy of aromatic C–C bonds necessitate prolonged irradiation or participation of more oxidizing species (˙O2−, 1O2). Oxygenated polymers such as PET or polyamide (PA) exhibit hydrogen bonding with –COOH/–OH groups on biochar, enabling hydrolysis and photo-Fenton-like attack at ester or amide linkages.
Such interactions are particularly important in natural water systems, where hydrophobicity acts as a major determinant of MP mobility and partitioning.81 Second, hydrogen bonding becomes critical when oxygen-containing functional groups are present in MPs such as PET or nylon.82,84 The carboxyl and hydroxyl groups on the biochar surface can form directional hydrogen bonds with carbonyl or amide groups in these polymers, thereby enhancing adsorption affinity.82 This interaction is further strengthened when biochar is chemically modified (e.g., through oxidation or nitrogen doping), which increases the density of polar functional groups.4,82 Third, π–π stacking interactions play a dominant role in the adsorption of aromatic polymers such as PS.84 The conjugated aromatic rings of PS interact with the polyaromatic sheets within biochar's carbon matrix, forming strong stacking interactions that effectively immobilize MPs on the catalyst surface.82,84 This mechanism is mainly relevant because PS tends to resist degradation due to its aromatic backbone, and surface anchoring via π–π stacking significantly increases the efficiency of ROS attack by ensuring intimate polymer-catalyst contact.81,82
Beyond these three primary mechanisms, adsorption can also be modulated by electrostatic interactions, especially when MPs undergo environmental aging.4,81 Oxidized MPs often attain negatively charged surfaces, which can interact with positively charged sites on biochar or with loaded metal/metal-oxide nanoparticles.4,82 Conversely, alkaline or high ionic strength water conditions can suppress such electrostatic interactions, highlighting the importance of environmental context in determining adsorption efficiency.4,82 Collectively, these mechanisms demonstrate that adsorption is not a passive step but an active determinant of photocatalytic efficiency.
Moreover, adsorption provides a crucial “surface activation” effect, whereby MPs are oriented and anchored in close proximity to photocatalytic centers, thereby reducing charge transfer distances and accelerating degradation kinetics. This dual role of adsorption as both a pre-concentration and activation step underpins the superior performance of BSPs in MPs remediation and highlights opportunities for rational design of surface engineered biochar photocatalyst composites.
The relative dominance of each pathway depends on the band structure of the photocatalyst, the presence of electron mediators such as biochar, and the surrounding aqueous chemistry.22,86 One of the most aggressive degradation pathways is mediated by ˙OH, which possess a redox potential of approximately +2.8 V vs. NHE and exhibit near diffusion limited reaction rates with organic substrates (k = 108–109 M−1 s−1).4,82 These radicals readily abstract hydrogen atoms from polymer backbones, particularly at tertiary carbons or other labile hydrogen sites.17,87 This hydrogen abstraction generates carbon centered radicals on the polymer chain, which subsequently react with dissolved oxygen to form peroxyl radicals, leading to chain scission and molecular weight reduction.87 In oxygen-rich conditions, this process proceeds rapidly, resulting in the accumulation of oxidized intermediates such as ketones, alcohols, and carboxylic acids.17 Particularly, ˙OH attack is non-selective but is particularly effective against aliphatic polymers such as PE and PP, where the C–H bonds are relatively accessible and weakly stabilized.17,78
In parallel, superoxide radicals (˙O2−), generated via single electron reduction of dissolved oxygen by photoexcited electrons, play a complementary role in the oxidative degradation process. Although ˙O2− is less reactive than ˙OH (redox potential of −0.33 V vs. NHE), it displays higher selectivity towards unsaturated or aromatic moieties.59,87 This makes it particularly effective in degrading MPs such as PS or PET, where π-electron systems or ester linkages can stabilize the intermediate radical states.88,89 The interaction of ˙O2− with polymer chains often leads to the formation of hydroperoxides (ROOH), which can experience subsequent homolytic cleavage to yield aldehydes, ketones, or short-chain carboxylic acids.17,59 These transformations are frequently observed in spectroscopic analyses (e.g., FTIR or NMR) as the emergence of carbonyl peaks, signaling the oxidative cleavage of the polymer backbone.88 A third pathway involves direct hole (h+) oxidation, wherein photoexcited valence band holes with strong oxidizing potentials (often E > +2.0 V vs. NHE) extract electrons directly from the polymer surface.59 This mechanism is relevant for photocatalysts such as BiVO4, TiO2, or g-C3N4 when configured in heterojunctions that preserve high valence band potentials.37,88,90 The removal of electrons generates cationic sites on the polymer surface, rendering them susceptible to nucleophilic attack by water molecules or hydroxide ions, which can further propagate oxidation and hydrolysis reactions.46,91 While this pathway is generally slower than radical-mediated processes, it plays a significant role in the initial activation of highly crystalline or hydrophobic MPs that are otherwise resistant to ROS penetration.78,90 A notable limitation in the current literature is the lack of standardized evaluation methodologies for BSP-based microplastic degradation. Consistent reporting of key parameters is essential to enable comparison across studies. These parameters include quantum efficiency, apparent reaction rate constants, catalyst stability over multiple cycles, mineralization degree, and identification of intermediate degradation products. Incorporating these metrics provides a more rigorous assessment of BSPs performance and is critical for establishing practical relevance and scalability.
Fig. 8 demonstrates the mechanism of MPs degradation using a BSPs composite.59 The upper panel shows MP particles adsorbing onto the porous surface of biochar.49 Upon light irradiation, the photocatalyst generates electron–hole pairs. Electrons are transferred to the biochar, acting as an electron sink, which reduces electron–hole recombination.49,92 The holes and ROS, such as ˙OH and ˙O2−, generated from water and oxygen, respectively, then degrade the MP polymer chains.59 The lower left panel shows a macroscopic view of porous biochar, while the lower right panel depicts the molecular interaction, indicating the presence of functional groups (e.g., –OH, –COOH) on the biochar surface that facilitate interaction with the photocatalyst and MPs.59,93
O, 1710 cm−1) and hydroxyl (–OH, 3400 cm−1) groups, indicative of oxygen incorporation into the polymer backbone.95,96 X-ray photoelectron spectroscopy (XPS) measurements further confirm a 25–40% increase in surface oxygen content, reflecting the formation of oxidized functionalities such as alcohols, ketones, and carboxylic acids.19,28 Gel permeation chromatography (GPC) analysis reveals an accompanying 30–50% decrease in average molecular weight, consistent with chain scission at weak points, including tertiary carbons and ester bonds.2,22 This initial surface oxidation is critical, as it increases hydrophilicity and reduces crystallinity, thereby enhancing the susceptibility of MPs to subsequent attack.2These stages illustrate a clear progression from surface oxidation and molecular weight reduction to fragmentation, oxidative breakdown of intermediates, and eventual mineralization.2 The quantifiable nature of these transformations highlights the value of integrating advanced analytical techniques (FTIR, XPS, GPC, SEM, GC-MS, IC, TOC, CO2 monitoring) for mechanistic clarification.2 Furthermore, the efficiency of each stage is strongly influenced by photocatalyst design, light intensity, and water chemistry, underscoring the importance of tailoring BSP architectures for both rapid fragmentation and complete mineralization. Ultimately, this staged understanding of degradation provides a framework for evaluating and comparing different photocatalytic systems, ensuring that future designs move beyond partial breakdown toward genuine environmental remediation.
This dramatic extension in carrier lifetime enables more efficient participation of photogenerated electrons and holes in ROS generation and polymer degradation.81 In addition, biochar functions as an electron reservoir, temporarily storing electrons and releasing them when needed to sustain the photocatalytic cycle.78,99 This capacity is particularly critical under intermittent light conditions or when pollutant concentrations fluctuate in natural water environments.17 Beyond charge dynamics, biochar also plays a crucial role in ROS stabilization.26 Recent studies using electron paramagnetic resonance (EPR) have found that some biochar contain persistent free radicals (PFRs), arising from unpaired electrons linked to surface functional groups and imperfect carbon sites. These surface radicals can alter the behavior of ROS, including ˙OH and ˙O2−, thereby influencing radical-mediated pathways in photocatalytic systems. The stabilization of ˙OH is essential given their ultrashort native lifetimes in aqueous systems. Additionally, the graphitic domains of biochar prevent the rapid disproportionation of ˙O2− into less reactive species such as O2 and H2O2, thereby preserving their oxidative capacity.13,78,99 This ability to localize and stabilize ROS in the vicinity of adsorbed MPs ensures that oxidation proceeds more efficiently, particularly during the advanced stages of mineralization where intermediate byproducts are more resistant to degradation.26 A third synergistic mechanism is intermediate adsorption, wherein biochar captures soluble degradation byproducts such as aldehydes, ketones, and carboxylic acids through surface functional groups.26,78 This adsorption prevents inhibitory accumulation of intermediates on photocatalyst active sites, which could otherwise block ROS access and suppress activity.18
By anchoring these products, biochar facilitates their subsequent oxidation into smaller organics and ultimately CO2 and H2O. This “adsorb and react” functionality not only enhances mineralization efficiency but also mitigates the risk of releasing secondary nanoplastics or partially oxidized organics into the environment an outcome often observed with conventional photocatalysts that lack such adsorption capacity.17,31,56 These synergistic effects electron shuttling, ROS stabilization, and intermediate adsorption constitute a multistage degradation mechanism unique to BSPs. While traditional photocatalysts often achieve only partial polymer fragmentation, BSPs integrate physical adsorption with advanced oxidation to address both the capture and chemical destruction of MPs.28,100 This dual capability is critical in preventing secondary pollution, as it ensures that microplastics are not merely broken down into smaller fragments but are instead mineralized into benign end-products. Furthermore, the multifunctional role of biochar highlights its potential as a design element for next-generation photocatalytic systems, where optimizing carbon structure, surface chemistry, and radical stabilization could further accelerate the transition from laboratory-scale demonstrations to real-world water treatment applications.
| BSP composition | Biochar source | Light source/wavelength | Operating conditions | Target MPs | Removal efficiency (%) | Notes/mechanism | Ref. |
|---|---|---|---|---|---|---|---|
| a Target polymer abbreviations: PS – polystyrene; PE – polyethylene; PET – polyethylene terephthalate; PP – polypropylene; “Mixed MPs” indicates a heterogeneous mixture of different microplastic polymers. Nanoplastics (<500 nm) are specifically highlighted where applicable. | |||||||
| TiO2/biochar | Rice husk | UV (365 nm) | pH 7, 25 °C, 2 h | PSa | 80–85 | Adsorption + ROS degradation; enhanced surface area | 17 and 19 |
| g-C3N4/BiVO4/biochar | Bamboo | Visible light (420–700 nm) | Neutral pH, 30 °C, 3 h | PEa | 82–90 | Z-scheme heterojunction improves e−/h+ separation; visible light active | 101 and 102 |
| TiO2/Fe3O4/biochar | Coconut shell | UV-Vis | pH 6–8, 25–35 °C, 2–3 h | PS and PE | 78–88 | Magnetic separation; S-scheme heterojunction enhances electron–hole separation | 103 and 104 |
| ZnO/biochar | Corn cob | UV (365 nm) | pH 7, 25 °C, 2 h | PE microbeads | 75–80 | ROS generation boosted by biochar; high surface adsorption | 18 |
| g-C3N4/biochar | Sugarcane bagasse | Visible light | pH 7, 25 °C, 4 h | Polystyrene | 76–84 | Adsorption-driven preconcentration; extended ROS lifetime from PFRs | 88 and 105 |
| TiO2/carbonized agricultural waste | Mixed crop residues | UV | Neutral pH, 25 °C, 3 h | Mixed MPs | 76–82 | Low-cost biochar; carbon-negative; dual environmental benefit | 37 |
| BiOCl/biochar | Sawdust | Visible light (400–700 nm) | pH 6–8, 30 °C, 3 h | PE and PS | 81–87 | Enhanced ROS production; biochar preconcentrates MPs | 27 |
| TiO2/graphene oxide/biochar | Rice straw | UV-Vis | pH 7, 25 °C, 3 h | PS nanoplastics (<500 nm) | 85–92 | Synergistic adsorption and photocatalysis; broad light absorption | 108 |
| ZnO/Fe3O4/biochar | Wood chips | UV | pH 6–8, 25 °C, 2 h | PE and PPa | 77–83 | Magnetic separation; ROS generation enhanced by heterojunction | 30 and 110 |
| g-C3N4/TiO2/biochar | Corn husk | Visible light | Neutral pH, 30 °C, 3 h | PS and PE | 80–89 | Z-scheme heterojunction; efficient charge separation and ROS generation | 95 |
| CdS/biochar | Coconut shell | Visible light (420–650 nm) | pH 7, 25 °C, 2 h | PS nanoplastics | 82–88 | Visible-light driven; biochar enhances adsorption and ROS stability | 25 and 100 |
| TiO2/Fe3O4/graphene/biochar | Bamboo | UV-Vis | pH 6–8, 25–35 °C,3 h | Mixed MPsa | 88–94 | Multi-heterojunction system; exceptional charge separation and ROS generation | 111 and 112 |
Moreover, the S-scheme heterojunction between TiO2 and Fe3O4 enhances charge separation, prolonging ROS lifetime. Such designs have been demonstrated in pollutant degradation, suggesting their promise in MP contexts.103,104 For ZnO/biochar composites prepared from corn cob, UV-driven degradation efficiencies of 75–80% for PE microbeads were observed.18 Biochar plays a dual role: offering adsorption sites and facilitating electron transfer, while ZnO generates hydroxyl radicals and superoxide anions. This synergistic interaction is consistent with other reports showing ZnO's capacity for photocatalytic microplastic degradation.18 The g-C3N4/biochar composite derived from sugarcane bagasse also targets PS degradation, achieving 76–84% removal under visible light.88,105 Here, the biochar not only adsorbs MPs but also extends the ROS lifetime through PFRs retained in its carbon matrix. This highlights the unique value of biomass-derived char, which contributes chemically active sites in addition to structural porosity.88,105 An interesting sustainable approach involves TiO2 supported on carbonized agricultural waste (mixed crop residues). Under UV light, these composites reach 76–82% MP removal, representing not only a functional photocatalyst but also a carbon-negative material valorized from agricultural residues.37 Such “waste-to-resource” strategies provide dual benefits: MP degradation and biomass waste management, making them highly relevant for circular economy practices. Meanwhile, BiOCl/biochar composites prepared from sawdust under visible light achieved 81–87% removal of PE and PS MPs.27 BiOCl is known for its layered structure and excellent ROS generation ability, and when coupled with biochar, MP removal is enhanced via preconcentration on the biochar surface.27 A number of studies have shown that BiOCl-based photocatalysts outclass in visible-light pollutant degradation, making them strong candidates for MP remediation.106,107 For more advanced composites, TiO2/graphene oxide/biochar derived from rice straw achieved very high efficiencies (85–92%) against PS nanoplastics (<500 nm).108 The graphene oxide broadens the light absorption spectrum and facilitates charge mobility, while biochar ensures adsorption and stabilization.108,109 This tri-component system exemplifies how combining semiconductors with conductive and adsorptive materials produces superior photocatalytic outcomes.108,109 ZnO/Fe3O4/biochar composites from wood chips combine the photocatalytic ROS generation of ZnO with magnetic retrievability from Fe3O4, achieving 77–83% degradation of PE and PP.30,110 This dual-function design reflects a broader trend of creating multifunctional catalysts for efficient removal and post-treatment handling. Similarly, g-C3N4/TiO2/biochar composites derived from corn husk under visible light removed 80–89% of PS and PE MPs.95 Their efficiency is due to a Z-scheme heterojunction that maintains strong oxidative and reductive potentials while enhancing charge separation. Such configurations are increasingly emphasized in photocatalyst design for MPs degradation. CdS/biochar composites, prepared from coconut shell and driven by visible light (420–650 nm), demonstrated 82–88% PS nanoplastic removal.25,100 CdS responds strongly to visible light, and its combination with biochar enhances adsorption and stabilizes ROS. While CdS can suffer from photocorrosion, the biochar matrix helps mitigate this, highlighting its stabilizing role.25,100 Finally, the most advanced configuration discussed is TiO2/Fe3O4/graphene/biochar composites synthesized from bamboo. These multi-heterojunction systems achieved the highest removal efficiencies (88–94%) across mixed MPs under UV-Vis light.111,112 Their performance derives from exceptional charge separation enabled by multi-junction pathways, enhanced ROS production, strong adsorption, and magnetic separation capability. Such multi-component composites represent the frontier of photocatalytic MP removal research, combining efficiency with recoverability. Taken together, these studies illustrate the versatile roles of biochar: as an adsorptive substrate, a support for photocatalyst dispersion, a stabilizer of reactive species, and in some cases an active electron mediator. While efficiencies vary (75–94%), nearly all systems outperform stand-alone photocatalysts due to biochar's synergistic effects. Importantly, the studies highlight sustainable feedstocks (rice husk, bamboo, coconut shell, corn residues, sawdust), positioning MP remediation with circular economy and waste valorization strategies.
| Parameter | Fixed-bed reactor | Fluidized-bed reactor | Membrane-integrated hybrids |
|---|---|---|---|
| MP removal (%) | 92 | 87 | 94 |
| Hydraulic retention time/EBCT (min) | 45 | 30 | 20 |
| Flow regime | Laminar/plug-flow | Turbulent/fluidized | Cross-flow filtration |
| Bed/reactor volume (m3 per m3 h−1 flow) | Medium (0.1–0.2 m3 per m3 h) | Low (0.05–0.1 m3 per m3 h) | Very low (0.02 m3 per m3 h) |
| Catalyst particle size | 2–5 mm granules | 100–300 µm magnetic | <100 µm slurry |
| Catalyst loading/dosage | 10–15 g L−1 | 5–10 g L−1 | 0.5–1.0 g L−1 |
| Hydraulic considerations | Avoid channeling, maintain 35–45% porosity | Maintain stable fluidization, upflow 15–20 cm s−1 | TMP <2 bar, flux 20–30 LMH |
| Pressure drop/pumping | Low (<0.3 bar m−1 bed) | Medium (dependent on fluidization) | Medium-high (TMP-driven) |
| Light penetration strategy | Top/side UV lamps, thin bed | Distributed internal illumination | Internal illumination or thin-layer modules |
| Energy consumption (kWh m−3) | 1.8 | 2.4 | 3.1 |
| Scalability potential | Medium | High | Limited |
| Maintenance needs | Backwashing, periodic bed replacement | Catalyst recovery, secondary clarification | Membrane cleaning, backwashing, slurry circulation |
| Catalyst recovery | Fixed bed replacement | Magnetic separation | Membrane retention |
| Footprint | Large (due to EBCT) | Moderate | Compact |
| Operational complexity | Low | Medium | High |
| Fouling/attrition | Minimal | Particle attrition possible | Membrane fouling major concern |
| Integration potential | Easy retrofit into sand filters | Requires dedicated fluidized columns | Best for advanced water reuse or polishing |
| Cost considerations (OPEX) | Low | Moderate | High |
| Typical applications | Municipal water, small-scale treatment | Municipal and industrial | Niche high-purity treatment, industrial reuse |
The comparative analysis (Table 3) highlights the trade-offs among the three designs. Fixed-bed systems are advantageous in terms of energy efficiency and retrofitting potential but require large footprints due to longer retention times. Fluidized beds offer superior scalability, mixing efficiency, and catalyst recovery, making them attractive for municipal-scale applications.37 Membrane hybrids deliver the highest MP removal and effluent quality but suffer from higher operational costs and limited large-scale feasibility.116,120 Ultimately, reactor design determines the viability of biochar slurry photocatalytic systems beyond laboratory studies. Field-scale deployment must incorporate site-specific engineering constraints, such as influent MP concentrations, water chemistry, hydraulic loading rates, and energy availability. Moreover, long-term pilot studies under real wastewater matrices are necessary to evaluate durability, fouling dynamics, and cost-performance ratios before full-scale implementation.116
Similarly, hybrid membrane-photocatalytic systems combine separation and photocatalysis to concentrate MPs on illuminated surfaces and reduce light attenuation in the bulk; pilot slurry-membrane designs have shown high MP retention and synergistic oxidation in pilot trials.121 Moving beyond lab reactors, several studies and reviews now discuss pilot-scale integration and environmental performance metrics. Recent work on MIH concepts and techno-economic assessments indicate that coupling photocatalysis with low-energy LED lighting and magnetic recovery can keep operational energy demands modest and improve life-cycle impacts relative to high-temperature thermal treatments though complete LCA/TEA across biochar feedstocks and end-of-life scenarios is still needed.121 Catalyst loss and recovery cost are key scale-up barriers. Magnetic biochar/Fe3O4 combinations and immobilized photocatalytic membranes are two validated strategies: magnetic composites allow rapid separation and recyclability,65 while immobilized membranes (catalyst fixed to fibers or ceramic supports) eliminate slurry recovery needs and have been trialed in hybrid systems achieving continuous MP removal with backwashing/regeneration cycles.83
Another promising frontier lies in integrating engineered biochar into advanced oxidation processes (AOPs) and carbon capture systems. Fe–N–C biochars synthesized through template-assisted pyrolysis have been shown to activate peroxymonosulfate and persulfate under visible light, achieving sulfate radical generation rates exceeding 3 mmol g−1 h−1 while simultaneously functioning as efficient CO2 adsorbents due to their hierarchical porosity and graphitic nitrogen sites.106 These dual-functional materials bond the gap between environmental catalysis and carbon management, representing a sustainable pathway toward net-negative water treatment technologies that couple pollutant degradation with carbon sequestration. In parallel, the conversion of agricultural and industrial residues such as rice husks, sawdust, and sewage sludge into engineered biochar not only provides low-cost precursors but also closes the carbon loop through waste valorization.
Recent study demonstrated that nitrogen-doped biochar derived from anaerobic digestate exhibits high redox reactivity and substantial potential for soil carbon sequestration, contributing up to 1.7 t C ha per year when used as a soil amendment.122,123 Such applications highlight the dual environmental and agricultural benefits of engineered biochar as both a remediation agent and a carbon storage medium, aligning with the principles of circular economy and sustainable agriculture. Beyond pollutant remediation, engineered biochar is increasingly recognized for its role at the energy environment nexus. Owing to its electrical conductivity, tunable defect chemistry, and large surface area, biochar serves as an efficient scaffold for electrochemical and photothermal energy systems. Fe-, N-, and S-doped biochars have achieved specific capacitances of up to 350 F g−1 and excellent cycling stability in supercapacitor applications, illustrating their potential in coupling pollutant degradation processes with renewable energy storage.1,122 Furthermore, the photothermal conversion capability of black biochar enables its integration into solar desalination and hybrid electrocatalytic systems, offering an environmentally benign approach for simultaneous water purification and energy harvesting.
The research timeline indicates a progressive pathway: short-term efforts focus on standardizing testing protocols, surface modifications, and hybrid biological-photocatalytic systems; medium-term priorities involve scalable manufacturing, solar integration, and automated regeneration; while long-term objectives target self-healing catalysts, quantum dot sensitized architectures, and closed-loop microplastic recycling systems. Collectively, this roadmap provides a strategic outline for translating laboratory-scale BSP technologies into practical, sustainable solutions for MP remediation in diverse water treatment scenarios Table 4.
| Category | Challenge/limitation | Impact on BSP performance | Proposed solutions/strategies | Notes | Ref. |
|---|---|---|---|---|---|
| Catalyst deactivation | Fouling by organic/inorganic matter | 40–60% loss of active sites after 50 h; reduced ROS generation | Backwashing, ultrasonic cleaning, surface functionalization (–OH,–COOH), hierarchical porosity biochar, enzyme-assisted fouling removal | Fouling by humic acids, proteins, calcium carbonate; pilot studies show partial recovery after ultrasonic cleaning | 17, 78, 124 and 125 |
| Photocorrosion of metal oxides (ZnO, TiO2, Cu2O) | 25–35% activity loss per 10 cycles; metal ion leaching; decreased quantum efficiency | ALD coatings (Al2O3, SiO2), core shell architectures, metal doping (Fe, co), protective polymer layers | ZnO dissolves under UV; TiO2 stable but suffers surface hydroxyl depletion; ALD protects while preserving light absorption | ||
| Structural degradation of biochar | Pore collapse, fragmentation, reduced surface area; fines increase pressure drop | Gradient macro-meso-micro porosity, self-healing biochar, robust particle engineering, binder incorporation | Mechanical stress in turbulent flow; thermal/oxidative stress during regeneration | ||
| Process engineering | Limited light penetration in turbid waters | Effective path length only 1–5 cm; shadowing reduces ROS generation | Thin-layer reactors, LED arrays, optical waveguides, reflective coatings inside reactor | Turbid surface waters reduce UV efficacy; CFD simulations show light decay in deep slurry reactors | 18, 62, 116 and 120 |
| Oxygen mass transfer limitations | ROS generation rate-limiting at MP concentrations >50 mg L−1; incomplete degradation | Oscillatory flow reactors, microbubbles/aeration, membrane-integrated oxygenation | Oxygen diffusion into micropores is critical; dissolved oxygen saturation must be maintained for high MP loads | ||
| Long hydraulic retention time (HRT: 30–90 min) | Impractical for high-volume plants; limits throughput | Continuous-flow reactors, modular roll-to-roll membrane modules, intensified mixing | High-volume municipal effluents require reduced HRT without loss of MP removal | ||
| Advanced material design | Low atom utilization and high electron–hole recombination | Lower ROS generation; higher catalyst loading needed | Single-atom or dual-atom catalysts (Fe–N4, Co–N4), heterojunctions, quantum-dot sensitization | Single-atom Fe–N4 shows near 95% atom efficiency; dual-metal sites improve charge separation | 95 and 126–128 |
| Limited visible-light absorption | Reduced solar photocatalytic efficiency | Quantum-dot sensitization, doped TiO2/Biochar, multi-wavelength LED illumination | CdS, g-C3N4, or carbon quantum dots extend absorption to visible spectrum | ||
| System integration and sustainability | Catalyst regeneration and maintenance challenges | Downtime, operational cost increase, reduced life cycle | Automated in situ electrochemical or photochemical regeneration, periodic ROS washing | Electrochemical regeneration can restore >80% activity; reduces labor-intensive handling | 2, 3, 118, 129 and 130 |
| Microplastic recycling and circularity | Captured MPs accumulate as secondary waste; environmental concern | Closed-loop MP recycling; catalytic depolymerization to monomers or value-added chemicals | Pyrolysis or photocatalytic conversion of MPs into fuels, monomers, or carbonaceous materials | ||
| Environmental and economic feasibility | Life-cycle emissions, energy cost, sourcing biochar, disposal challenges | LCA-guided design, renewable energy integration, modular and decentralized reactors | Agricultural waste biochar preferred; cost-benefit and carbon footprint must be quantified |
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