Next Article in Journal
Immune Evasion in Prostate Cancer: Resolving the Cold Tumour Paradox via a Hybrid Discrete–Continuum Computational Framework
Previous Article in Journal
Cellular Stress and Immune Activation in Celiac Disease: Is the Chaperone System a Key Player?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Synergistic Integration of Enzyme and Microbial Platforms for Sustainable Management of Pharmaceutical Pollutants: Towards a Greener Pharmaceutical Lifecycle

1
School of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou 213164, China
2
School of Biotechnology, Jiangnan University, Wuxi 214126, China
*
Author to whom correspondence should be addressed.
Biology 2026, 15(10), 804; https://doi.org/10.3390/biology15100804 (registering DOI)
Submission received: 14 April 2026 / Revised: 11 May 2026 / Accepted: 11 May 2026 / Published: 19 May 2026
(This article belongs to the Section Biotechnology)

Simple Summary

As pharmaceutically active compounds continuously accumulate in the environment, pharmaceutical pollutants have emerged as a significant concern threatening ecosystems and public health. Conventional physicochemical methods exhibit numerous shortcomings when dealing with such structurally complex trace pollutants: high treatment costs, difficulty in avoiding secondary pollution risks, and often unsatisfactory degradation efficiency. Single biotechnology approaches, whether enzymatic catalysis or microbial degradation, are similarly constrained by inherent limitations—the former suffers from poor stability, while the latter has a narrow substrate spectrum. Therefore, integrating the high-efficiency catalytic properties of enzymes with the metabolic diversity of microorganisms to construct synergistic treatment platforms has become a critical pathway to overcome these challenges. This review focuses on enzyme–microbe synergistic systems, systematically analyzing the practical dilemmas in pharmaceutical pollution control. It provides an in-depth exposition of the latest advances in the three major synergistic mechanisms and three construction strategies for the treatment of typical pharmaceutical contaminants.

Abstract

Purpose: This review aims to provide a theoretical basis and scientific reference for constructing environmentally friendly and economically feasible sustainable management systems for pharmaceutical pollution. Methods: This review discusses three synergistic mechanisms—“cascade degradation”, “symbiotic protection”, and “functional complementarity”—along with construction strategies including co-immobilization technology, engineered biofilms, and engineered bacteria modified via synthetic biology. Result: Synergistic platforms have achieved significant progress in treating various types of pharmaceutical pollutants, including antibiotics, anti-inflammatories and hormones, antiviral drugs and pesticides. Conclusions: The synergistic integration of enzymes and microorganisms achieves the unification of efficient catalysis and deep mineralization, opening up a new pathway for the remediation of pharmaceutical pollution. It also transforms theoretically existing concepts into operable treatment technologies.

1. Dilemmas in Pharmaceutical Pollution Control: From Conventional Shortcomings to the Inevitability of Biological Synergy

1.1. Environmental Fate and Ecological Risks of Pharmaceutical Pollutants

As emerging environmental contaminants, pharmaceutical pollutants have become a global challenge due to their widespread occurrence and ecological impacts. With the rapid development of the pharmaceutical industry and population growth, pharmaceutical consumption continues to rise, leading to pharmaceutically active compounds entering the environment through multiple pathways. Industrial wastewater discharge during production, human and animal excreta during consumption, improper disposal of expired medications, and direct use in aquaculture and animal husbandry constitute the main sources of pharmaceutical pollution [1,2].
Pharmaceutical pollutants are widely detected in water bodies, soil, and sediments. Although their concentrations are typically at trace levels (ng/L to μg/L), continuous input and “pseudo-persistence” characteristics make their ecological risks non-negligible. Antibiotics are particularly concerning, with ciprofloxacin, sulfamethoxazole, and tetracycline frequently detected in environmental samples from different regions [3,4,5]. For example, studies in East Africa show that the risk quotient (RQ) for ciprofloxacin in Kenyan water bodies ranged from 3.5 to 40.6, and 0.1–3.53 for sulfamethoxazole [6], while the RQ for ciprofloxacin in Ethiopia also reaches 8.58. More critically, pharmaceutical pollution is closely linked to the spread of antibiotic resistance—the widespread presence of antibiotic resistance genes in environmental samples has been confirmed to be directly associated with pharmaceutical pollution [7,8]. Studies on Chinese pig farms show diverse and abundant antibiotic resistance genes detected in fecal samples [9], and the evolution of resistance genes during sewage sludge composting is closely related to bacterial community dynamics [10] (Figure 1).
Beyond antibiotics, non-steroidal anti-inflammatory drugs, hormones, and antiepileptic drugs are also widely present in the environment [11,12,13]. Spanish studies have ranked the environmental indices of pharmaceuticals and personal care products [14], while in surface water and drinking water in southern Brazil various pesticides and PPCPs have been detected [15]. These pharmaceuticals, even at low concentrations, may produce chronic toxic effects on aquatic organisms, disrupt endocrine systems, affect reproduction and development, alter community structure, and thereby threaten ecosystem functions [16,17] (Table 1).

1.2. Applicability Boundaries and Limitations of Conventional Treatment Technologies

Conventional water treatment technologies exhibit clear applicability boundaries when facing the challenge of pharmaceutical pollution. Although physicochemical treatment methods are significantly effective in removing conventional pollutants, they encounter multiple dilemmas when dealing with pharmaceutical pollutants [20] (Table 2).
Coagulation–flocculation is relatively low-cost and effective for removing suspended solids and colloids; however, it has limited efficiency for dissolved pharmaceutical molecules and generates substantial chemical sludge that requires further disposal [1]. Adsorption technology (such as activated carbon adsorption) shows good removal effects for various pharmaceuticals, but adsorbent regeneration is costly, requiring frequent replacement, and only achieves phase transfer of pollutants rather than true degradation [21,22]. Membrane separation technologies (ultrafiltration, nanofiltration, reverse osmosis) can achieve efficient separation, but membrane fouling is prominent, energy consumption is high, and concentrate disposal remains an unresolved challenge [23]. Electrocoagulation has wide applicability but its energy-intensive nature limits large-scale application [24,25].
Advanced oxidation technologies (including ozonation, photocatalysis, electrochemical oxidation, etc.) have been highly anticipated for their ability to generate reactive oxygen species to attack organic molecules [26]. These technologies can achieve effective removal of recalcitrant organic pollutants but often require complex equipment, high operational costs, and may generate transformation products with unknown toxicity [26,28]. Studies show that although photocatalysis can achieve complete mineralization of organic pollutants, issues such as catalyst recovery, scale-up, and adaptability to environmental conditions remain to be resolved [27,29].
Notably, the removal efficiency of pharmaceuticals in conventional wastewater treatment plants varies considerably [31]. Although five wastewater treatment plants in California achieved over 90% removal for 14 pharmaceuticals, triclosan and octylphenol still existed in sludge at average concentrations of 1505 ng/g and 1179 ng/g, respectively. A survey of three wastewater treatment plants in Xiamen, China, revealed that 22 out of 48 target pharmaceuticals were detected in over half of the effluent samples, with ofloxacin reaching an average concentration of 2300 μg/kg in sludge. More concerning is that pharmaceutical pollutants have even been detected in drinking water [32]—concentrations in eight tap water samples ranged from not detected to 39 ng/L, and in eleven mineral water samples from 1 to 40 ng/L; Testing of 40 brands of bottled water in France (representing 70% of the market share) for 330 compounds detected no pharmaceutical ingredients [33]. This phenomenon indicates that existing drinking water treatment processes also have gaps in pharmaceutical removal capacity.

1.3. Limitations of Single Biotechnology: Respective Dilemmas of Enzymatic Catalysis and Microbial Degradation

Biological treatment technologies have attracted attention for their environmental friendliness and sustainable potential, but both free enzyme catalysis and microbial degradation face inherent limitations when applied alone.
The advantages of free enzyme technology lie in high catalytic efficiency, strong substrate specificity, and mild reaction conditions [34,35]. However, poor enzyme stability is its critical weakness—free enzymes are sensitive to environmental conditions (pH, temperature, ionic strength) and are easily inactivated (Table 3).
They are susceptible to protease attack or adsorption loss in complex environmental matrices; and they are difficult to recover and reuse, leading to high treatment costs [39,40]. Research by Sun Jian’s team at South China Agricultural University indicates that individual degrading enzymes face practical application challenges including high cost and poor stability, limiting their large-scale application [41,42] (Table 4).
Microbial degradation technology exhibits different advantages and limitations. Microorganisms possess complete metabolic networks, enabling deep mineralization of pollutants, and can self-propagate for sustained functionality [47,48]. However, microorganisms grow slowly, are sensitive to environmental conditions, and treatment efficiency is constrained by factors such as substrate concentration, co-metabolic substrates, and community structure. More critically, microorganisms have selective substrate spectra with limited degradation capacity for certain recalcitrant pharmaceutical pollutants; in composite pollution systems, interactions between different pollutants may inhibit microbial activity; and high concentrations of pharmaceuticals can be toxic and inhibitory to microorganisms [49]. Studies show that environmental stresses such as osmotic stress significantly affect the growth and metabolism of degrading bacteria, hindering their remediation function in polluted environments [50].

1.4. Synergistic Integration: The Inevitable Direction to Break Through Bottlenecks

The limitations of single technologies have given rise to the concept of “synergistic integration”. The high efficiency of enzymes and the complete metabolic networks of microorganisms are naturally complementary—enzymes can rapidly initiate reactions and break through recalcitrant molecular structures, while microorganisms can utilize their metabolic diversity to achieve deep mineralization; microorganisms can provide stable microenvironments for enzymes, while enzymes can relieve toxicity inhibition for microorganisms [51,52]. This “complementary and mutually reinforcing” characteristic makes enzyme–microbe synergistic platforms the inevitable choice to break through current bottlenecks.
Recent research progress provides strong support for this direction. The microbial consortium-based compound enzyme (MCE) demonstrates superior performance in food waste hydrolysis and antibiotic resistance gene removal compared to commercial enzymes and microbial monomer compound enzymes [53]. Interspecies synergistic interactions mediated by cofactor exchange induce biofilm formation, enhancing the environmental stress tolerance of microbial communities [50]. Co-immobilization technology integrates enzymes and cells on the same carrier, achieving efficient enhancement of cascade catalytic processes [54]. These advances collectively indicate that the synergistic integration of enzymes and microorganisms is opening new pathways for pharmaceutical pollution control (Figure 2).

2. Deconstruction of Synergistic Mechanisms: Complementarity and Enhancement of Enzyme and Microbial Platforms

The synergistic effect between enzymes and microorganisms is not simply additive but achieves emergent properties of “1 + 1 > 2” based on multiple mechanisms. Understanding these intrinsic mechanisms forms the theoretical foundation for rationally designing and optimizing synergistic platforms (Figure 3).

2.1. Cascade Degradation: Temporal Coupling of Synergistic Catalysis

Cascade degradation is the most intuitive mechanism of enzyme–microbe synergy. In this mode, enzymes and microorganisms respectively undertake different stages of the degradation process, forming functional temporal coupling [55].
Enzyme pretreatment–microbial mineralization is a typical forward cascade: many pharmaceutical molecules have complex structures and low bioavailability, making them difficult for microorganisms to directly uptake and metabolize. Enzymes, as “pioneer catalysts,” can cleave large molecules or recalcitrant structures into small fragments, increasing their water solubility and bioavailability, creating conditions for subsequent microbial degradation. Research by Zhonghu Bai’s team at Jiangnan University demonstrated a similar cascade strategy—constructing an efficient dual-enzyme cascade catalytic system for PET degradation by displaying PETase mutants and MHETase on the bacterial surface, achieving a degradation rate 51 times higher than free enzymes [56]. This strategy provides a methodological reference for pharmaceutical pollutant treatment: for complex pharmaceutical molecules, multi-enzyme cascade systems can be designed for initial breakdown, followed by complete mineralization through microbial networks.
In addition to forward cascade, there exists a reverse pathway that can be summarized as the “microbial initial degradation–enzyme precision catalysis” mode. In this process, microorganisms take the lead: either through their secreted extracellular enzymes or relying on their own metabolic pathways, they convert pharmaceutical molecules into specific intermediate structures; once this step is completed, highly selective enzymes intervene to catalyze key reaction steps, driving the transformation to completion. This division of labor strategy is particularly critical in dealing with composite pollution systems—the breadth of substrate spectrum in microbial communities enables them to handle multiple components, while the precise catalysis of key enzymes ensures targeted removal of recalcitrant substrates [53].
Further metabolic pathway analysis reveals that pretreatment with microbial consortium-based compound enzymes significantly enhances the catalytic efficiency of carbohydrate-active enzymes. Specifically, the abundance of genes involved in cellulose and starch degradation, polysaccharide synthesis, ABC transporters, and global regulation-related processes shows an increasing trend; conversely, genes related to paired formation systems, two-component regulatory systems, and quorum sensing show decreased abundance. This gene expression pattern, with some increasing and others decreasing, on one hand strengthens the hydrolysis process, and on the other hand effectively inhibits the spread of antibiotic resistance genes [53].

2.2. Symbiotic Protection: Contribution of Microbial Microenvironments to Enzyme Stability

The instability of enzymes is a major obstacle to their practical application, but the presence of microorganisms provides natural protective environments for them. This symbiotic protection mechanism manifests at multiple levels [57].
Protective effect of extracellular polymeric substances. Extracellular polymeric substances (EPSs) secreted by microorganisms constitute the matrix skeleton of biofilms and also provide stable microenvironments for extracellular enzymes. The polysaccharides, proteins, nucleic acids, and lipids in EPS can interact with enzyme molecules, restricting conformational fluctuations, preventing denaturation and aggregation, and enhancing tolerance to temperature, pH, proteases, and other factors [57]. Research reveals that under micro/nanoplastic stress, the responses of EPSs in activated sludge are governed by reactive oxygen species-mediated regulatory networks [58]. Micro/nanoplastics can directly bind with key antioxidant enzymes such as superoxide dismutase and catalase (binding energy < −5 kcal/mol), inhibiting their enzyme activity and reducing related gene abundance, leading to intracellular ROS accumulation, which in turn drives microbial community succession towards EPS-producing bacteria, strengthening EPS secretion to cope with stress [58]. This finding indirectly confirms the critical role of EPSs in protecting extracellular enzyme activity.
The synergistic effect of cofactor exchange: Microbial metabolic activities can produce cofactors required for enzymatic catalysis, compensating for the deficiency of free enzyme systems that require exogenous addition, significantly reducing costs [59]. The South China Agricultural University team constructed a multi-enzyme complex FerTiG mimicking microcompartment structures, integrating the degradation module Tet(X4) and the recycling module GDH—GDH catalyzes glucose oxidation to provide NADPH required by Tet(X4), reducing costs by 10 times while improving reaction efficiency by approximately seven times [41]. This “cofactor cycling” model precisely mimics the natural mechanism of cofactor exchange in microbial communities [50].
Further research indicates that interspecies cofactor exchange can enhance the environmental stress tolerance of microbial communities. In a synergistic consortium constructed with Rhodococcus ruber and Epilithonimonas zeae, multi-omics analysis and genome-scale metabolic model simulations revealed that the vitamin B12-dependent methionine–folate cycle is a key pathway enhancing hyperosmotic stress tolerance. The consortium promotes biofilm formation by exchanging S-adenosylmethionine and riboflavin (a cofactor required for vitamin B12 biosynthesis), thereby improving overall stress tolerance [50].
The spatial proximity effect: Close spatial proximity between enzymes and microorganisms can significantly improve reaction efficiency. Co-immobilization technology confines enzymes and cells to the same microenvironment, shortening substrate and product diffusion distances, allowing intermediate products to be rapidly utilized by adjacent cells, avoiding loss or accumulation inhibition [60,61]. Nankai University’s team created a covalent organic framework co-immobilization platform, integrating inulinase and E. coli within COF armor, achieving efficient cascade catalysis and maintaining >90% of initial catalytic efficiency after 7 days of continuous reaction [54].

2.3. Functional Complementarity: Unification of Rapid Initiation and Deep Mineralization

The functional complementarity between enzymatic catalysis and microbial metabolism achieves the unification of “speed” and “depth” in the treatment process [55].
Rapid initiation capability of enzymes: The catalytic efficiency of enzymes far exceeds microbial metabolic rates, enabling rapid transformation of pollutants in a short time. This is of great significance for responding to sudden pollution events or treating high-concentration wastewater [62,63]. Additionally, enzymes can act on targets inaccessible to microorganisms, such as cell membrane-impermeable substrates. Jiangnan University’s research team pointed out that since PET can hardly cross cell membranes to reach intracellular space, using microbial degradation alone is ineffective, while displaying PETase and MHETase on the cell surface constructs an efficient dual-enzyme cascade catalyst [56].
Deep mineralization capability of microorganisms: Enzymatic reactions typically stop converting pollutants into specific intermediate products, may not achieve complete degradation, and some transformation products may even retain ecological risks [64]. In contrast, microorganisms, with their complete intracellular metabolic networks, possess the ability to continuously decompose these intermediate products until ultimately converting them into CO2 and H2O, thereby achieving true detoxification of pollutants [65]. This unique ability to completely mineralize organic substances is precisely what single-enzyme systems find difficult to achieve.
The unification of detoxification and removal: More notably, the presence of microorganisms can simultaneously eliminate the potential toxicity of enzymatic reaction products. Studies indicate that some enzymatic reaction intermediates may have toxicity or biological activity exceeding that of parent compounds, and if not promptly eliminated, could cause secondary pollution. Timely microbial intervention can precisely cut this risk pathway, achieving the dual goals of pollutant removal and toxicity reduction [66]. Certain enzymes can also directly act on toxic compounds, reducing the stress imposed on microorganisms and thereby protecting their metabolic activity. Ochratoxin A (OTA) is a mycotoxin known for its strong nephrotoxicity and carcinogenicity. Research has revealed that the strain Lysobacter sp. CW239 harbors a highly active amidohydrolase, ADH2, and a carboxypeptidase, CP4, exhibiting low activity. The former efficiently cleaves the critical toxic groups of OTA, while the latter facilitates the adequate expression of the primary enzyme through regulatory functions. The synergy between these two enzymes significantly promotes the microbial degradation and biotransformation of OTA [67].

3. Construction of Synergistic Platforms: From Enhancement Strategies to Engineering Applications

In-depth understanding of synergistic mechanisms provides theoretical guidance for the design and construction of synergistic platforms. Researchers have developed multiple technological pathways to achieve the effective integration of enzymes and microorganisms (Figure 4).

3.1. Co-Immobilization Technology: Construction of Artificial Synergistic Systems

Co-immobilization is an effective strategy to confine enzymes and microbial cells to the same carrier, achieving spatial proximity and synergistic catalysis. Based on different immobilization carriers, it can be divided into multiple types.
Metal–organic framework immobilization (MOF) is another important direction. Metal–organic frameworks (MOFs) possess high specific surface area, tunable pore structure, and good stability, showing broad prospects in the field of enzyme immobilization [69].

3.2. Biofilm Platforms: Natural Synergistic Ecosystems

Biofilms represent the main form of microbial existence in nature and serve as natural platforms for enzyme–microbe synergy [70]. Within biofilms, microorganisms are embedded in self-secreted EPS matrices, and extracellular enzymes can be retained within the EPS network, forming highly organized functional units [71,72].
Application of natural biofilms: Researchers can directly utilize natural biofilms with degradation functions to treat pharmaceutical pollutants. The metabolic diversity of microorganisms in biofilms can address multiple pollutants, while EPS-retained extracellular enzymes contribute rapid degradation capabilities [71]. The activated sludge process essentially utilizes microbial aggregates (flocs, biofilms) to treat wastewater, and its removal of pharmaceuticals has been extensively studied.
Construction of engineered biofilms. The development of synthetic biology enables researchers to rationally design and modify biofilms [73]. A research team from Bilkent University in Turkey utilized E. coli biofilm protein CsgA as a scaffold, fusing it with two types of laccases through the SpyTag–SpyCatcher system to construct an engineered biofilm platform capable of degrading ciprofloxacin [74]. Mass spectrometry analysis and cell viability assays confirmed that the designed biofilm material successfully degraded fluoroquinolone antibiotics. The advantages of this strategy include: biofilms can exist stably for long periods, self-renew, adapt to flowing environments, and engineered modifications offer modularity and programmability.
Regulatory mechanisms of biofilm formation: Understanding the molecular mechanisms of biofilm formation helps optimize the design of synergistic platforms. Research shows that interspecies cofactor exchange can induce biofilm formation, enhancing the environmental stress tolerance of microbial communities [50]. In the synergistic consortium of Rhodococcus ruber and Epilithonimonas zeae, the vitamin B12-dependent methionine–folate cycle was identified as a key pathway enhancing hyperosmotic stress tolerance, with the consortium promoting biofilm formation by exchanging S-adenosylmethionine and riboflavin. This finding provides a new strategy for constructing efficient and stable synergistic platforms—by regulating cofactor supply, biofilm formation and function can be directionally enhanced.

3.3. Synthetic Biology-Engineered Bacteria: From Single Cells to Multifunctional Platforms

Synthetic biology enables researchers to transcend natural evolutionary limitations and construct engineered strains with customized functions [75]. Within the enzyme–microbe synergistic framework, engineered bacteria applications present multiple modes. As shown in Figure 5 below.
Construction of surface display systems: Displaying enzymes on cell surfaces avoids substrate transmembrane transport limitations while achieving co-localization of enzymes and cells [76]. Jiangnan University’s team constructed an efficient dual-enzyme cascade catalyst by displaying PETase mutants and MHETase on the surface of E. coli and Pseudomonas putida using autotransporter proteins [56]. By modifying host cells, co-expressing molecular chaperones, and evolving the autotransporter YeeJ, the surface display efficiency of rate-limiting enzymes was significantly enhanced, increasing the PET degradation rate to 3.85 mM/d, 51 times higher than free enzymes. Cell catalyst EC9F retained 38% and 30% of initial activity after 22 cycles of BHET degradation and 3 cycles of PET degradation, respectively.
Application of intracellular expression systems: For membrane-permeable substrates, intracellular expression of engineered enzymes is equally effective [77]. A research team from NOVA University Lisbon expressed the CYP102A1 mutant enzyme (BM3 MT35) in Bacillus megaterium and Chlamydomonas reinhardtii respectively for degradation of the herbicide diuron [78]. Transgenic B. megaterium degraded 65% of diuron after 5 days in TB medium, and 45% and 15% in synthetic wastewater and municipal wastewater, respectively; transgenic C. reinhardtii expressing P450 BM3 MT35 in chloroplasts showed significantly higher diuron degradation (52%) compared to the wild type (6%).
Intracellular assembly of multi-enzyme complexes: Mimicking bacterial microcompartment structures to assemble multi-enzyme complexes intracellularly can further improve catalytic efficiency [79]. Although FerTiG constructed by Sun Jian’s team was assembled in vitro, its design concept can be extended to intracellular systems—through protein scaffolds or compartmentalization signals, multi-enzyme systems can be localized to specific cellular regions to achieve efficient cascade reactions (Table 5).

3.4. Treatment Efficacy for Typical Pharmaceutical Pollutants

Synergistic platforms have achieved significant progress in treating various types of pharmaceutical pollutants (Figure 6).
Antibiotics are the most intensively studied drug category [80], and tetracycline antibiotic degradation has been the most extensively studied, with FerTiG multi-enzyme complexes efficiently decomposing tetracycline residues driven by glucose [41]. For fluoroquinolone antibiotics, laccase-type enzymes have been confirmed to attack synthetic antibiotics such as ciprofloxacin, with engineered biofilm platforms successfully achieving their degradation [74]. Sulfonamide antibiotics are widely present in the environment, with sulfamethoxazole frequently detected in water bodies in East Africa [6].
Anti-inflammatories and hormones have also received attention. Non-steroidal anti-inflammatory drugs such as diclofenac and ibuprofen are commonly detected in wastewater treatment plant effluents [81], with limited efficiency when treated with single biological systems. Synergistic platforms are expected to overcome this bottleneck. Laccase degradation of anti-inflammatories has been studied [82].
Antiviral drugs research is relatively limited but increasing in importance [83]. The presence of antiretroviral drugs in the environment in East Africa has been confirmed, and removal needs are gradually receiving attention [84].
Pesticides, although not typical drugs, have similar structures and properties, allowing methodological cross-reference [85]. CYP102A1 mutant enzymes expressed in transgenic microorganisms have been successfully used for efficient diuron degradation [78] (Table 6).

4. Towards Green Pharmaceuticals: Closed-Loop Value and Future Prospects of Synergistic Governance

4.1. Paradigm Shift from End-of-Pipe Treatment to Full-Cycle Management

In the past, the focus of pharmaceutical pollution control has always been on the “end-of-pipe”—the treatment stage before wastewater enters the natural environment [86]. However, with the deepening of green chemistry concepts and the gradual rise of circular economy models, this long-standing traditional paradigm is undergoing profound transformation [87,88]. To fundamentally solve the pharmaceutical pollution dilemma, it is urgent to establish a management perspective covering the full lifecycle: not only moving the control point forward to the drug design and production stages, but also extending it backward to consumption and final disposal [89,90].
Looking back at this transformation context, the emergence and implementation of the “ecopharmacovigilance” concept is undoubtedly the most iconic aspect [91]. This concept directly addresses the environmental impact of drugs throughout the entire process from research and development, production and use to final disposal, advocating green design, rational use, and standardized disposal as starting points to curb the channels of drug input into the environment at the source [92]. This is particularly evident in relevant research in East Africa—scholars call for the promotion of ecopharmacovigilance implementation within the “One Health” framework, attempting to resolve the intertwined dilemma of pharmaceutical pollution and antibiotic resistance spread through multiple means, including strengthening environmental monitoring, improving regulatory enforcement, upgrading sewage treatment capacity, and promoting green pharmaceutical technologies [93]. Meanwhile, international institutions such as the EU and OECD have successively issued strategic documents and policy guidance, providing systematic institutional responses to the increasingly prominent pharmaceutical issues in the environment [94,95].
The green pharmaceutical concept emphasizes the incorporation of environmental considerations into drug research, development, and production processes. This includes: designing easily biodegradable drug molecules, optimizing synthesis routes to reduce waste generation, adopting green processes such as continuous flow manufacturing, and developing environmentally friendly formulations [96]. These efforts complement end-of-pipe treatment, jointly constructing a more sustainable pharmaceutical lifecycle.

4.2. Closed-Loop Value of Synergistic Platforms: Resource Recovery and Process Integration

Beyond end-of-pipe treatment, enzyme–microbe synergistic platforms exhibit broader closed-loop value [97].
Resource utilization of degradation products: Although complete mineralization of pharmaceutical molecules to CO2 and H2O is the ideal goal, converting degradation products into recoverable resources is potentially more sustainable. For example, ammonium released during nitrogen-containing drug degradation can be recovered as fertilizer; small molecule organic acids generated from aromatic ring-containing drug degradation can provide carbon sources for microorganisms [98]. Although this direction is still in early exploration, its application prospects are worth anticipating.
The reverse integration of treatment systems with pharmaceutical processes: Embedding synergistic treatment systems into pharmaceutical production processes can achieve “treatment while producing”. Continuous flow enzyme–cell immobilized reactors can be directly linked with production lines for online treatment of process wastewater containing drug residues, thereby reducing discharge loads. The continuous-flow device developed by Nankai University’s team provides a feasible proof-of-concept prototype for this technological pathway [54].
Application of green solvents and auxiliaries: The construction of synergistic platforms can also practice green chemistry principles [99]. Specific measures include: using renewable biomass materials as immobilization carriers, utilizing cofactors produced by microbial metabolism to replace exogenous additions, and introducing biosurfactants and other biological auxiliaries to enhance catalytic efficiency [100].

4.3. Challenges and Constraints: From Laboratory to Practical Application

Enzyme–microbe synergistic platform technologies have successfully transitioned from the laboratory to both pilot-scale and industrial applications. At the pilot scale, 50–300 L fermentation systems have been validated for process optimization and scale-up trials. At the industrial scale, production capacities at the 20, 50, and even hundred-ton levels have been achieved, with certain processes now running reliably on ten-thousand-ton production lines. Moreover, these technologies have been deployed in over 100 products and support nearly 300 enterprises, reaching Technology Readiness Levels (TRLs) of 7 to 9. Nevertheless, transitioning from laboratory research to practical engineering applications still faces multiple challenges [101].
Stability issues in complex matrices: The composition of actual wastewater is far from simple—various organic substances, inorganic salts, and suspended solids coexist, and this highly complex matrix environment may interfere with enzyme activity, affect microbial metabolic homeostasis, and even threaten the structural integrity of immobilization carriers [58]. In real wastewater matrices, enzyme stability typically decreases by 50–70%, while the mechanical strength of immobilized carriers declines by approximately 50% over a 30-day period. Notably, EPS protection improves thermal stability by approximately 4.5-fold, suggesting that the symbiotic protection mechanism possesses considerable engineering relevance.
The cost-effectiveness of scale-up: Regarding cost-effectiveness, advanced technologies such as co-immobilization and synthetic biology modification currently still face practical constraints of relatively high preparation costs, and their marginal costs and economic benefits in scaled production require further examination [102]. Although the enzyme–microbe synergistic platform incurs substantially higher treatment costs at the laboratory scale (15–30 USD/m3) compared to conventional physicochemical methods (5–10 USD/m3), these costs are projected to decrease to 3–8 USD/m3 upon industrial scale-up, corresponding to a 70–80% reduction. Notably, the material costs of advanced carriers like COFs and MOFs are expected to decline by 90% with large-scale manufacturing, positioning this as a pivotal avenue for achieving economic feasibility.
Systematic assessment of ecological safety: Once engineered bacteria are released into the natural environment, the potential ecological risks cannot be ignored—including the possibility of horizontal gene transfer, the risk of disrupting indigenous population balance, and even effects on non-target organisms [103]. When live engineered bacteria are released into the environment, the resulting gene transfer frequency ranges from 10−5 to 10−3 [104], and the bacteria can survive for 7 to 28 days. Moreover, their presence induces non-target effects, including a 15–25% decrease in the diversity of indigenous microbial communities and a 20–40% suppression of microfauna reproduction. In marked contrast, cell-free systems such as FerTiG display an approximately 100- to 1000-fold-lower ecological risk, thus offering a substantially safer alternative in terms of biosafety.
Even after enzymatic pretreatment followed by microbial mineralization, pharmaceutical pollutants may still undergo incomplete degradation or remain inhibitory. This phenomenon is well illustrated in studies on itaconic acid (IA) production from lignocellulosic biomass, where it was found that even after enzymatic saccharification to release fermentable sugars, the hydrolysate still contained various inhibitory compounds that significantly hampered subsequent fermentation [105]. For instance, sugar degradation products such as furfural and 5-hydroxymethylfurfural (HMF), acetic acid generated from hemicellulose degradation, and phenolic compounds derived from lignin degradation can all act as microbial growth inhibitors.
Lag in regulatory frameworks: There is a significant time lag between the pace of iteration of emerging technologies and the update pace of existing regulatory systems [106]. With the annual growth rate of technological advancement ranging from 15% to 20%, which substantially surpasses the frequency of regulatory framework revisions (once every 5 to 10 years), a technology–policy time lag of 4 to 7 years has emerged. Notably, the regulatory categorization of nascent platforms—including cell-free systems such as FerTiG and engineered biofilms—remains unresolved, posing a major bottleneck to their real-world deployment.

4.4. Future Research Directions: Intelligent Regulation and Multi-Omics Guidance

Looking forward, research on enzyme–microbe synergistic platforms can be expanded in the following directions.
Construction of intelligent regulation systems: Introducing sensor–actuator circuits into synergistic platforms achieves real-time response and adaptive regulation to environmental changes [107], for example constructing promoters that sense pollutant concentrations to regulate enzyme expression levels, or utilizing quorum-sensing systems to coordinate the division of labor in microbial communities at different stages [108].
Multi-omics guided optimization of synergistic systems: Integrating multi-omics technologies including genomics, transcriptomics, proteomics, and metabolomics, combined with genome-scale metabolic models, can systematically analyze interaction mechanisms among microbial communities, providing guidance for the rational design of synergistic systems [109]. Through metabolic model simulation, optimal strain ratios, substrate supply strategies, and environmental condition parameters can be predicted, significantly shortening optimization cycles [110].
Exploitation of non-model microbial resources. Current research mostly focuses on model strains such as E. coli and yeast, while non-model microorganisms widely present in the environment harbor rich degradation potential and adaptation mechanisms. Isolating efficient degrading consortia from polluted environments, analyzing their synergistic mechanisms, and transplanting their functional elements into engineered strains are directions worth exploring [48,111].
AI-assisted enzyme engineering: The application of machine learning in enzyme design and optimization is becoming increasingly widespread. For example, protein language models (pLMs) have emerged as a mainstream framework for enzyme function prediction and design [112]. These models are pre-trained directly on large-scale protein sequence datasets to learn the intrinsic mapping between sequence and function. As a result, they can predict beneficial mutations without requiring explicit three-dimensional structural information, thereby significantly reducing dependence on structural biology. The discovery and modification of novel degrading enzymes can also be accelerated, thereby enhancing the overall treatment efficacy of synergistic platforms.
Innovative paradigm of interdisciplinary integration: Research on enzyme–microbe synergistic platforms is at the intersection of chemistry, biology, materials science, environmental engineering, and synthetic biology [113]. Deep interdisciplinary collaboration is expected to catalyze breakthroughs, promoting the advancement of pharmaceutical pollution control towards a greener and more sustainable future [114].

5. Conclusions

As a class of persistently emerging trace pollutants, pharmaceutical contaminants have raised widespread concern regarding their potential risks to ecosystems and public health. Conventional physicochemical treatment technologies face common challenges when dealing with such low-concentration, highly toxic, and structurally complex pollutants, including high costs, significant secondary pollution risks, and incomplete degradation. Standalone enzymatic catalysis and microbial degradation pathways each have their own limitations, making it difficult to achieve a balance among efficiency, stability, and economic feasibility. Against this backdrop, the synergistic integration platform of enzymes and microorganisms, leveraging its three core mechanisms—cascade degradation, symbiotic protection, and functional complementarity—has demonstrated unique potential for achieving efficient, thorough, and sustainable pharmaceutical pollutant remediation.
This review systematically summarizes research progress in this field, with particular emphasis on the current status and trends of synergistic construction strategies, including co-immobilization technology, engineered biofilms, and synthetically engineered bacteria. Notably, current research has enabled this platform to achieve significant efficacy in the treatment of representative pharmaceutical pollutants such as tetracycline, ciprofloxacin, and sulfamethoxazole, with some systems exhibiting degradation efficiencies and environmental compatibility superior to conventional physicochemical processes. Nevertheless, the translation of this platform from laboratory research to practical engineering applications still faces multiple real-world constraints, including insufficient long-term operational stability in complex wastewater matrices, high cost bottlenecks associated with scale-up production, potential ecological safety risks of genetically engineered strains, and a marked lag in regulatory frameworks in the era of synthetic biology.
From a broader academic perspective, the value of the enzyme–microbe synergistic platform should not be confined to the level of “end-of-pipe” treatment, but rather re-examined within the larger context of “lifecycle green pharmaceuticals”. Promoting the paradigm shift from passive end-of-pipe treatment to proactive source prevention and process integration requires the establishment of a circular economy loop encompassing “design–production–use–disposal–regeneration.” This transformation depends not only on the continuous improvement of catalytic components (enzymes and strains), but also calls for deep interdisciplinary convergence—including the fine reprogramming of metabolic networks through synthetic biology, intelligent design and optimization of enzyme structure and function via artificial intelligence, and the development of high-performance immobilization carriers through materials science. Furthermore, a truly “green pharmaceutical lifecycle” necessitates collaborative actions among policymakers, pharmaceutical companies, and research institutions to integrate sustainability metrics into the full-cycle assessment framework of drug research, development, and production.
Looking forward, empowered by multi-omics data-driven approaches, artificial intelligence-assisted design, and automated closed-loop evolution platforms, the enzyme–microbe synergistic platform is expected to overcome current bottlenecks in stability and cost-effectiveness, thereby accelerating the integrated convergence of remediation technologies and pharmaceutical processes. Only by unblocking the entire chain from laboratory discovery through pilot validation to engineering scale-up, while simultaneously improving risk assessment and management frameworks for synthetic biology products, can this platform unlock its full transformative potential in environmental remediation and green chemical engineering, ultimately moving toward an ecologically safe and economically viable sustainable management paradigm.

Author Contributions

Z.S.: Validation, writing—review and editing. P.C.: Validation, writing—review and editing. X.G.: Writing—review and editing. W.Z.: Writing—review and editing. H.L.: Design and preparation of the paper, conceptualization, investigation, resources, validation, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

Acknowledgments

This paper was completed by Huanmin Liu, Peitao Chen, and Zhongshan Sun at the School of Pharmacy & School of Biotechnology and Food Engineering, Changzhou University, China, and was supported by Yafei Li.

Conflicts of Interest

The authors declare that they have no conflict of interest.

References

  1. Samal, K.; Mahapatra, S.; Hibzur Ali, M. Pharmaceutical wastewater as Emerging Contaminants (EC): Treatment technologies, impact on environment and human health. Energy Nexus 2022, 6, 100076. [Google Scholar] [CrossRef]
  2. Kotwani, A.; Joshi, J.; Kaloni, D. Pharmaceutical effluent: A critical link in the interconnected ecosystem promoting antimicrobial resistance. Environ. Sci. Pollut. Res. 2021, 28, 32111–32124. [Google Scholar] [CrossRef] [PubMed]
  3. Kimera, Z.I.; Mshana, S.E.; Rweyemamu, M.M.; Mboera, L.E.G.; Matee, M.I.N. Antimicrobial use and resistance in food-producing animals and the environment: An African perspective. Antimicrob. Resist. Infect. Control 2020, 9, 37. [Google Scholar] [CrossRef]
  4. Tegegne, A.A.; Mekasha, Y.T.; Ayu, A.A.; Hasen, G.; Suleman, S. A review on emerging pharmaceutical residues in Ethiopia: Occurrence, ecotoxicological aspects, and regulatory concerns. Front. Microbiol. 2024, 15, 1499487. [Google Scholar] [CrossRef] [PubMed]
  5. Nantaba, F.; Wasswa, J.; Kylin, H.; Bouwman, H.; Palm, W.U.; Kümmerer, K. Spatial trends and ecotoxic risk assessment of selected pharmaceuticals in sediments from Lake Victoria, Uganda, East Africa. Sci. Total Environ. 2024, 906, 167348. [Google Scholar] [CrossRef] [PubMed]
  6. Ngumba, E.; Gachanja, A.; Tuhkanen, T. Occurrence of selected antibiotics and antiretroviral drugs in Nairobi River Basin, Kenya. Sci. Total Environ. 2016, 539, 206–213. [Google Scholar] [CrossRef]
  7. Hossein, M.; Ripanda, A.S. Pollution by antimicrobials and antibiotic resistance genes in East Africa: Occurrence, sources, and potential environmental implications. Toxicol. Rep. 2025, 14, 101969. [Google Scholar] [CrossRef]
  8. Horvat, O.; Kovačević, Z. Human and Veterinary Medicine Collaboration: Synergistic Approach to Address Antimicrobial Resistance Through the Lens of Planetary Health. Antibiotics 2025, 14, 38. [Google Scholar] [CrossRef]
  9. Zhu, Y.G.; Johnson, T.A.; Su, J.Q.; Qiao, M.; Guo, G.X.; Stedtfeld, R.D.; Hashsham, S.A.; Tiedje, J.M. Diverse and abundant antibiotic resistance genes in Chinese swine farms. Proc. Natl. Acad. Sci. USA 2013, 110, 3435–3440. [Google Scholar] [CrossRef] [PubMed]
  10. Su, J.Q.; Wei, B.; Ou-Yang, W.Y.; Huang, F.Y.; Zhao, Y.; Xu, H.J.; Zhu, Y.G. Antibiotic resistome and its association with bacterial communities during sewage sludge composting. Environ. Sci. Technol. 2015, 49, 7356–7363. [Google Scholar] [CrossRef]
  11. Li, W.C. Occurrence, sources, and fate of pharmaceuticals in aquatic environment and soil. Environ. Pollut. 2014, 187, 193–201. [Google Scholar] [CrossRef]
  12. Wang, J.; Wang, S. Removal of pharmaceuticals and personal care products (PPCPs) from wastewater: A review. J. Environ. Manag. 2016, 182, 620–640. [Google Scholar] [CrossRef]
  13. Yang, Y.; Ok, Y.S.; Kim, K.H.; Kwon, E.E.; Tsang, Y.F. Occurrences and removal of pharmaceuticals and personal care products (PPCPs) in drinking water and water/sewage treatment plants: A review. Sci. Total Environ. 2017, 596–597, 303–320. [Google Scholar] [CrossRef]
  14. Ortiz de García, S.; Pinto Pinto, G.; García-Encina, P.A.; Irusta Mata, R.I. Ranking of concern, based on environmental indexes, for pharmaceutical and personal care products: An application to the Spanish case. J. Environ. Manag. 2014, 135, 11–18. [Google Scholar] [CrossRef]
  15. Caldas, S.; de Oliveira Arias, J.L.; Rombaldi, C.; Mello, L.; Cerqueira, M.; Martins, A.; Primel, E.G. Occurrence of pesticides and PPCPs in surface and drinking water in southern Brazil: Data on 4-Year Monitoring. J. Braz. Chem. Soc. 2018, 30, 71–80. [Google Scholar] [CrossRef]
  16. Wang, B.Q.; Xu, Z.X.; Dong, B. Occurrence, fate, and ecological risk of antibiotics in wastewater treatment plants in China: A review. J. Hazard. Mater. 2024, 469, 133925. [Google Scholar] [CrossRef] [PubMed]
  17. Kümmerer, K. Antibiotics in the aquatic environment: A review. Chemosphere 2009, 75, 417–434. [Google Scholar] [CrossRef] [PubMed]
  18. Mlunguza, N.Y.; Ncube, S.; Mahlambi, P.N.; Chimuka, L.; Madikizela, L.M. Determination of selected antiretroviral drugs in wastewater, surface water and aquatic plants using hollow fibre liquid phase microextraction and LC-MS/MS. J. Hazard. Mater. 2020, 382, 121067. [Google Scholar] [CrossRef] [PubMed]
  19. Al-Shaalan, N.H.; Ali, I.; Alothman, Z.; Al-Wahaibi, L.; Alabdulmonem, H. High performance removal and simulation studies of diuron pesticide in water on MWCNTs. J. Mol. Liq. 2019, 289, 111039. [Google Scholar] [CrossRef]
  20. Purkait, M.K.; Gupta, B.; Das, P.P. Performances of conventional treatment techniques for the treatment of pharmaceutical contaminated water: Challenges and opportunities. In Advances in Chemical Engineering; Elsevier: Amsterdam, The Netherlands, 2025; Volume 65, pp. 31–72. [Google Scholar] [CrossRef]
  21. Barczak, M.; Wierzbicka, M.; Borowski, P. Sorption of diclofenac onto functionalized mesoporous silicas: Experimental and theoretical investigations. Microporous Mesoporous Mater. 2018, 264, 254–264. [Google Scholar] [CrossRef]
  22. Alshehri, M.A.; Pugazhendhi, A. Biochar for wastewater treatment: Addressing contaminants and enhancing sustainability: Challenges and solutions. J. Hazard. Mater. Adavances 2024, 16, 100504. [Google Scholar] [CrossRef]
  23. Zhao, Y.; Qiu, Y.B.; Mamrol, N.; Ren, L.F.; Li, X.; Shao, J.H.; Yang, X.; van der Bruggen, B. Membrane bioreactors for hospital wastewater treatment: Recent advancements in membranes and processes. Front. CSE 2021, 16, 634–660. [Google Scholar] [CrossRef] [PubMed]
  24. Baran, W.; Adamek, E.; Jajko, M.; Sobczak, A. Removal of veterinary antibiotics from wastewater by electrocoagulation. Chemosphere 2018, 194, 381–389. [Google Scholar] [CrossRef]
  25. Bharti, M.; Das, P.P.; Purkait, M.K. A review on the treatment of water and wastewater by electrocoagulation process: Advances and emerging applications. J. Environ. Chem. Eng. 2023, 11, 109358. [Google Scholar] [CrossRef]
  26. Hübner, U.; Spahr, S.; Lutze, H.; Wieland, A.; Rüting, S.; Gernjak, W.; Wenk, J. Advanced oxidation processes for water and wastewater treatment—Guidance for systematic future research. Chem. Eng. J. 2024, 10, e30402. [Google Scholar] [CrossRef]
  27. Bhatia, V.; Malekshoar, G.; Dhir, A.; Ray, A.K. Enhanced photocatalytic degradation of atenolol using graphene TiO2 composite. J. Photochem. Photobiol. A Chem. 2017, 332, 182–187. [Google Scholar] [CrossRef]
  28. Bhattacharjee, B.; Ahmaruzzaman, M. Photocatalytic degradation of pharmaceuticals: Insights into biochar modification and degradation mechanism. Next Mater. 2024, 2, 100123. [Google Scholar] [CrossRef]
  29. Cai, T.; Liu, Y.T.; Wang, L.L.; Dong, W.Y.; Zeng, G.M. Recent advances in round-the-clock photocatalytic system: Mechanisms, characterization techniques and applications. J. Photochem. Photobiol. C Photochem. Rev. 2021, 48, 100432. [Google Scholar] [CrossRef]
  30. Brillas, E.; Mur, E.; Sauleda, R.; Sànchez, L.; Peral, J.; Domènech, X. Aniline mineralization by AOP’s: Anodic oxidation, photocatalysis, electro-Fenton and photoelectro-Fenton processes. Appl. Catal. B Environ. 1998, 16, 31–42. [Google Scholar] [CrossRef]
  31. Paíga, P.; Figueiredo, S.; Correia, M.; André, M.; Barbosa, R.; Jorge, S.; Delerue-Matos, C. Occurrence of 97 Pharmaceuticals in Wastewater and Receiving Waters: Analytical Validation and Treatment Influence. J. Xenobiot. 2025, 15, 78. [Google Scholar] [CrossRef]
  32. Tang, C.; Fang, S.H.; Yin, H.L.; Zhang, H.; Xin, X.; Yu, B.Q.; Zeng, Z.; Deng, K.C.; Zhang, Y.H.; Wu, Z.Z.; et al. Pharmaceuticals in drinking water in suburban communities in Chengdu, China: Potential risks on the human health. Environ. Monit. Assess. 2025, 197, 964. [Google Scholar] [CrossRef]
  33. Le Coadou, L.; Le Ménach, K.; Labadie, P.; Dévier, M.H.; Pardon, P.; Augagneur, S.; Budzinski, H. Quality survey of natural mineral water and spring water sold in France: Monitoring of hormones, pharmaceuticals, pesticides, perfluoroalkyl substances, phthalates, and alkylphenols at the ultra-trace level. Sci. T.T.E. 2017, 603–604, 651–662. [Google Scholar] [CrossRef]
  34. Farhan, M.; Hasani, I.W.; Khafaga, D.S.R.; Ragab, W.M.; Ahmed Kazi, R.N.; Aatif, M.; Muteeb, G.; Fahim, Y.A. Enzymes as Catalysts in Industrial Biocatalysis: Advances in Engineering, Applications, and Sustainable Integration. Catalysts 2025, 15, 891. [Google Scholar] [CrossRef]
  35. Bilal, M.; Iqbal, H.M.N. Tailoring Multipurpose Biocatalysts via Protein Engineering Approaches: A Review. Catal. Lett. 2019, 149, 2204–2217. [Google Scholar] [CrossRef]
  36. Moisan, J.K.; Meddeb-Mouelhi, F.; Charbonneau, D.M.; Beauregard, M. Impact of Salt Concentration and pH on Surface Charged Residues: Controlling Protein Association Pathways in Carboxylesterase EstGtA2. Protein Pept. Lett. 2017, 24, 561–572. [Google Scholar] [CrossRef]
  37. Kim, Y.J.; Nicell, J.A. Impact of reaction conditions on the laccase-catalyzed conversion of bisphenol A. Bioresour. Technol. 2006, 97, 1431–1442. [Google Scholar] [CrossRef] [PubMed]
  38. Bhunia, B.; Basak, B.; Mandal, T.; Bhattacharya, P.; Dey, A. Effect of pH and temperature on stability and kinetics of novel extracellular serine alkaline protease (70 kDa). Int. J. Biol. Macromol. 2013, 54, 1–8. [Google Scholar] [CrossRef]
  39. Yaashikaa, P.R.; Keerthana Devi, M.; Senthil Kumar, P. Advances in the application of immobilized enzyme for the remediation of hazardous pollutant: A review. Chemosphere 2022, 299, 134390. [Google Scholar] [CrossRef] [PubMed]
  40. Duman, Y.A.; Tekin, N. Kinetic and thermodynamic properties of purified alkaline protease from Bacillus pumilus Y7 and non-covalent immobilization to poly(vinylimidazole)/clay hydrogel. Eng. Life Sci. 2020, 20, 36–49. [Google Scholar] [CrossRef]
  41. Ren, H.; Qin, M.L.; Zhang, L.; Li, Z.M.; Li, Y.Z.; He, Q.; Zhong, J.H.; Zhao, D.H.; Lian, X.L.; Jiang, H.X.; et al. Modular Engineering of a Synthetic Biology-Based Platform for Sustainable Bioremediation of Residual Antibiotics in Aquatic Environments. Engineering 2025, 53, 231–244. [Google Scholar] [CrossRef]
  42. Wu, A.; Sha, F.; Su, S.; Farha, O.K. Recyclable Enzymatic Hydrolysis with Metal-Organic Framework Stabilized Humicola insolens Cutinase (HiC) for Potential PET Upcycling. Chem. Bio. Eng. 2024, 1, 798. [Google Scholar] [CrossRef]
  43. Noman, E.; Al-Gheethi, A.A.; Talip, B.A.; Mohamed, R.; Kassim, A.H. Oxidative Enzymes from Newly Local Strain Aspergillus iizukae EAN605 Using Pumpkin Peels as a Production Substrate: Optimized Production, Characterization, Application and Techno-Economic Analysis; Elsevier: Amsterdam, The Netherlands, 2020. [Google Scholar] [CrossRef]
  44. Wu, D.; Khan, S.; Zhang, S.J.; Wang, H.; Chen, W.; Wang, S.Q. Self-assembled Immobilization and Metal-Polyphenol Network Encapsulation of β-Galactosidase on T4 phage for Enhanced Biocatalytic Performance. Appl. Biochem. Biotechnol. 2025, 197, 4767–4787. [Google Scholar] [CrossRef] [PubMed]
  45. Karam, E.A.; Abdel Wahab, W.A.; Saleh, S.A.A.; Hassan, M.E.; Kansoh, A.L.; Esawy, M.A. Production, immobilization and thermodynamic studies of free and immobilized Aspergillus awamori amylase. Int. J. Biol. Macromol. 2017, 102, 694–703. [Google Scholar] [CrossRef]
  46. Ghaedmohammadi, S.; Nooraei, S.; Ahrari, F.; Moosavi, F.; Mohammadi, M.; Ahmadian, G. Thermostable and recyclable Candida antarctica lipase B immobilized on Bacillus subtilis using sortase technology. Microbiol. Spectr. 2025, 13, e01121-25. [Google Scholar] [CrossRef]
  47. Joss, A.; Zabczynski, S.; Göbel, A.; Hoffmann, B.; Löffler, D.; McArdell, C.S.; Ternes, T.A.; Thomsen, A.; Siegrist, H. Biological degradation of pharmaceuticals in municipal wastewater treatment: Proposing a classification scheme. Water Res. 2006, 40, 1686–1696. [Google Scholar] [CrossRef]
  48. Hu, M.; He, W.S.; Jiang, R.; Zhang, Y.; Wang, X.H. Bottom-up artificial construction of the M7-Z4 bacterial model enhanced sulfamethazine mineralization: Metagenomic analysis combined with bacterial isolation techniques. J. Hazard. Mater. 2025, 13, 118799. [Google Scholar] [CrossRef]
  49. Baena-Nogueras, R.M.; González-Mazo, E.; Lara-Martín, P.A. Degradation kinetics of pharmaceuticals and personal care products in surface waters: Photolysis vs biodegradation. Sci. Total Environ. 2017, 590–591, 643–654. [Google Scholar] [CrossRef] [PubMed]
  50. Wang, L.J.; Wang, X.Y.; Wu, H.; Wang, H.X.; Lu, Z.M. Interspecies synergistic interactions mediated by cofactor exchange enhance stress tolerance by inducing biofilm formation. mSystems 2024, 9, e00884-24. [Google Scholar] [CrossRef]
  51. Chen, X.Y.; Zhang, X.; Zhao, X.Y.; Xi, B.D.; Lu, Y. Microbial co-metabolism in the degradation of emerging organic pollutants. J. Environ. Sci. 2025. [Google Scholar] [CrossRef]
  52. Dong, T.J.; Zhang, L.; Yang, J.C.; Hao, S.W.; Peng, Y.Z. Photocatalysis-fueled algae-bacteria mutualism enables P450 enzyme-induced nitrite-free anammox for sustainable nitrogen removal. Water Res. 2026, 288, 124725. [Google Scholar] [CrossRef] [PubMed]
  53. Cui, L.; Chen, J.; Yan, Y.; Fei, Q.; Ma, Y.; Wang, Q. Development of oriented microbial consortium-based compound enzyme strengthens food waste hydrolysis and antibiotic resistance genes removal: Deciphering of performance, metabolic pathways and microbial communities. Environ. Res. 2024, 262, 119973. [Google Scholar] [CrossRef] [PubMed]
  54. Zheng, D.; Zheng, Y.L.; Tan, J.J.; Zhang, Z.J.; Huang, H.; Chen, Y. Co-immobilization of whole cells and enzymes by covalent organic framework for biocatalysis process intensification. Nat. Commun. 2024, 15, 5510. [Google Scholar] [CrossRef]
  55. Chen, Z.M.; Fan, Q.F.; Wang, J.H.; Zhang, J.Y.; Zhang, Y.H.; Tan, T.W.; Lv, Y.Q. Designing a mesoporous cascade reactor for enhanced enzymatic performance. Bioresour. Technol. 2025, 438, 133224. [Google Scholar] [CrossRef]
  56. Xue, K.; Bai, Z.H.; Fordour, E.; Guo, S.Q.; Zhou, Y.X.; Yang, Y.K.; Liu, X.X.; Li, Y.; Liu, C.L. Bacterial surface display of PETase mutants and MHETase for an efficient dual-enzyme cascade catalysis. Bioresour. Technol. 2024, 408, 131177. [Google Scholar] [CrossRef]
  57. Huang, L.; Jin, Y.; Zhou, D.H.; Liu, L.X.; Huang, S.K.; Zhao, Y.Q.; Chen, Y.C. A Review of the Role of Extracellular Polymeric Substances (EPS) in Wastewater Treatment Systems. Int. J. Environ. Res. Public Health 2022, 19, 12191. [Google Scholar] [CrossRef]
  58. Li, D.Y.; Wu, Y.S.; Liang, D.B.; Li, J.R.; Xie, C.F.; Zhu, Y.H.; Liu, T.T.; Du, L.Z.; Yao, X.R.; Liu, W.Q.; et al. Multi-omics insights into ROS-mediated molecular responses of extracellular polymeric substances in aerobic granular sludge under micro/nanoplastic stress. Chem. Eng. J. 2025, 523, 168713. [Google Scholar] [CrossRef]
  59. Zou, S.P.; Zhang, B.; Han, Y.Y.; Liu, J.L.; Zhao, K.; Xue, Y.P.; Zheng, Y.G. Design of a cofactor self-sufficient whole-cell biocatalyst for enzymatic asymmetric reduction via engineered metabolic pathways and multi-enzyme cascade. Biotechnol. J. 2024, 19, e2300744. [Google Scholar] [CrossRef]
  60. dos Santos, K.P.; Rios, N.S.; Labus, K.; Gonçalves, L.R.B. Co-immobilization of lipase and laccase on agarose-based supports via layer-by-layer strategy: Effect of diffusional limitations. Biochem. Eng. J. 2022, 186, 108533. [Google Scholar] [CrossRef]
  61. Yang, W.H.; Sun, H.; Cui, Z.H.; Chen, L.; Ji, Y.; Lu, F.P.; Liu, Y.H. Spatially sequential co-immobilization of phosphorylases in tiny environments and its application in the synthesis of glucosyl glycerol. Int. J. Biol. Macromol. 2024, 278, 134828. [Google Scholar] [CrossRef] [PubMed]
  62. Sun, J.H.; Yan, M.J.; Tao, G.D.; Su, R.B.; Xiao, X.M.; Wu, Q.S.; Chen, F.; Wu, X.L.; Lin, H.J. A single-atom manganese nanozyme mediated membrane reactor for water decontamination. Water Res. 2025, 268, 122627. [Google Scholar] [CrossRef] [PubMed]
  63. Wang, Z.; Sun, Y. A hybrid nanobiocatalyst with in situ encapsulated enzyme and exsolved Co nanoclusters for complete chemoenzymatic conversion of methyl parathion to 4-aminophenol. J. Hazard. Mater. 2022, 424, 127503. [Google Scholar] [CrossRef] [PubMed]
  64. Du, J.; Dang, X.; Zhao, H. Photo-enzyme cascade catalysis treatment of bisphenol A in water: Synergistic hydroxylation pathway for mineralization and detoxification. J. Hazard. Mater. 2025, 489, 137454. [Google Scholar] [CrossRef]
  65. Wang, X.H.; Wang, G.J.; Xu, X.L.; Xu, T.; He, Y.W.; Zhang, X.Y.; Yang, S.H.; Fan, J.H.; An, X.F. In-situ assembled biochar-yeast hybrid for tetracycline detoxification: Unparalleled robustness, toxicity assessment, and multi-omics analysis. Chem. Eng. J. 2025, 503, 158116. [Google Scholar] [CrossRef]
  66. Oh, S.; Nguyen, H.T.; Obayomi, K.S.; Siddiqui, S.I. Assessing the environmental risk potential of transformation byproducts formed during fungal enzymatic treatment of a pharmaceutical mixture. J. Ind. Eng. Chem. 2025, 142, 725–735. [Google Scholar] [CrossRef]
  67. Fu, X.J.; Fei, Q.R.; Zhang, X.J.; Li, N.; Zhang, L.; Zhou, Y. Two different types of hydrolases co-degrade ochratoxin A in a highly efficient degradation strain Lysobacter sp. CW239. J. Hazard. Mater. 2024, 473, 134716. [Google Scholar] [CrossRef]
  68. Jiang, Y.H.; Huang, X.; Yu, Y.X. A Comparative Study on Several Carriers of Immobilized Cells. Environ. Sci. Resour. Util. 1993, 2, CNKI. [Google Scholar]
  69. Li, P.; Chen, Q.S.; Wang, T.C.; Vermeulen, N.A.; Mehdi, B.L.; Dohnalkova, A.; Browning, N.D.; Shen, D.K.; Anderson, R.; Gómez-Gualdrón, D.A.; et al. Hierarchically Engineered Mesoporous Metal-Organic Frameworks toward Cell-free Immobilized Enzyme Systems. Chem 2018, 4, 1022–1034. [Google Scholar] [CrossRef]
  70. Chen, T.P.; Wang, S.M.; Niu, H.Q.; Yang, G.J.; Wang, S.N.; Wang, Y.Q.; Zhou, C.W.; Yu, B.; Yang, P.P.; Sun, W.J.; et al. Biofilm-Based Biocatalysis for Galactooligosaccharides Production by the Surface Display of β-Galactosidase in Pichia pastoris. Int. J. Mol. Sci. 2023, 24, 6507. [Google Scholar] [CrossRef] [PubMed]
  71. Sooriyakumar, P.; Bolan, N.; Kumar, M.; Singh, L.; Yu, Y.; Li, Y.; Weralupitiya, C.; Vithanage, M.; Ramanayaka, S.; Sarkar, B.; et al. Biofilm formation and its implications on the properties and fate of microplastics in aquatic environments: A review. J. Hazard. Mater. Adv. 2022, 6, 100077. [Google Scholar] [CrossRef]
  72. Flemming, H.C.; van Hullebusch, E.D.; Neu, T.R.; Nielsen, P.H.; Seviour, T.; Stoodley, P.; Wingender, J.; Wuertz, S. The biofilm matrix: Multitasking in a shared space. Nat. Rev. Microbiol. 2023, 21, 70–86. [Google Scholar] [CrossRef]
  73. Carr, C.M.; Harkova, L.G.; McCarthy, R.R. Engineering biology approaches to modulate bacterial biofilms. Trends Biotechnol. 2025, 43, 1525–1527. [Google Scholar] [CrossRef] [PubMed]
  74. Özkul, G.; Şahin Kehribar, E.; Ahan, R.E.; Şeker, U.Ö.Ş. An antibiotic-degrading engineered biofilm platform to combat environmental antibiotic resistance. ACS Biomater. Sci. Eng. 2024, 10, 6123–6134. [Google Scholar] [CrossRef]
  75. Zhang, X.E.; Liu, C.L.; Dai, J.B.; Yuan, Y.J.; Gao, C.X.; Feng, Y.; Wu, B.; Wei, P.; You, C.; Wang, X.W.; et al. Enabling technology and core theory of synthetic biology. Sci. China Life Sci. 2023, 66, 1742–1785. [Google Scholar] [CrossRef]
  76. Liu, W.; Sun, W.J.; Liang, C.C.; Chen, T.P.; Zhuang, W.; Liu, D.; Chen, Y.; Ying, H.J. Escherichia coli Surface Display: Advances and Applications in Biocatalysis. ACS Synth. Biol. 2025, 14, 648–661. [Google Scholar] [CrossRef] [PubMed]
  77. Taw, M.N.; Li, M.J.; Kim, D.; Rocco, M.A.; Waraho-Zhmayev, D.; DeLisa, M.P. Engineering a supersecreting strain of Escherichia coli by directed coevolution of the multiprotein TAT translocation machinery. ACS Synth. Biol. 2021, 10, 2947–2960. [Google Scholar] [CrossRef]
  78. Helvig, C.; Kariyawasam, T.; Vriens, B.; Petkovich, M. Genetically engineered bacteria and microalgae expressing a mutant of cytochrome P450 BM3 for efficient Diuron degradation in wastewater treatment. Appl. Environ. Microbiol. 2025, 91, e00023-25. [Google Scholar] [CrossRef]
  79. Doron, L.; Kerfeld, C.A. Bacterial microcompartments as a next-generation metabolic engineering tool: Utilizing nature’s solution for confining challenging catabolic pathways. Biochem. Soc. Trans. 2024, 52, 997–1010. [Google Scholar] [CrossRef]
  80. Amin, M.F.; Rahman, M.S. A critical review of pharmaceutical pollutants in soil and air: Ecotoxicological impacts on animal, plant and microbial communities—Health hazards and waste management. J. Hazard. Mater. Adv. 2026, 3, 70–87. [Google Scholar] [CrossRef]
  81. Dzionek, A.; Nowak, A.; Wojcieszyńska, D.; Potocka, I.; Smułek, W.; Guzik, U. Decomposition of non-steroidal anti-inflammatory drugs by activated sludge supported by biopreparation in sequencing batch reactor. Bioresour. Technol. 2024, 395, 130328. [Google Scholar] [CrossRef]
  82. Bhardwaj, P.; Sharma, S.; Khatri, M.; Singh, G.; Arya, S.K. Eradication of ibuprofen and diclofenac via in situ synthesized and immobilized bacterial laccase to Cu-based metal organic framework. J. Water Process Eng. 2023, 54, 104147. [Google Scholar] [CrossRef]
  83. Peng, H.X.; He, Y.Z.; Li, T.Y.; Peng, X.X. Acyclovir contamination in environment: Occurrence, transformation, toxicity, risk, and evaluation as a pharmaceutical indicator. Sci. Total Environ. 2024, 957, 177412. [Google Scholar] [CrossRef]
  84. Karungamye, P.; Rugaika, A.; Mtei, K.; Machunda, R. The pharmaceutical disposal practices and environmental contamination: A review in East African countries. HydroResearch 2022, 5, 99–107. [Google Scholar] [CrossRef]
  85. Bernardes, M.F.F.; Pazin, M.; Pereira, L.C.; Dorta, D.J. Impact of Pesticides on Environmental and Human Health; Intechopen: London, UK, 2015. [Google Scholar] [CrossRef]
  86. Daughton, C.G. Pharmaceuticals in the environment: Sources and their management. In Comprehensive Analytical Chemistry; Elsevier: Amsterdam, The Netherlands, 2007; pp. 1–58. [Google Scholar] [CrossRef]
  87. Dube, S. Green and sustainable pharmacology: Integrating environmental responsibility into drug discovery, development, and practice. IP Int. J. Compr. Adv. Pharmacol. 2025, 10, 125–133. [Google Scholar] [CrossRef]
  88. Akhrimenko, V.; Kümmerer, K.; Malato, S.; Lertxundi, U.; Orive, G. Designing at-source and end-of-pipe biotechnologies to tackle pharmaceutical pollution. Trends Biotechnol. 2025, 43, 2427–2439. [Google Scholar] [CrossRef] [PubMed]
  89. Parker, G.; Miller, F.A. Tackling Pharmaceutical Pollution Along the Product Lifecycle: Roles and Responsibilities for Producers, Regulators and Prescribers. Pharmacy 2024, 12, 173. [Google Scholar] [CrossRef] [PubMed]
  90. Caban, M.; Stepnowski, P. How to decrease pharmaceuticals in the environment? A review. Environ. Chem. Lett. 2021, 19, 3115–3138. [Google Scholar] [CrossRef]
  91. Medhi, B.; Sewal, R. Ecopharmacovigilance: An issue urgently to be addressed. Indian J. Pharmacol. 2012, 44, 547. [Google Scholar] [CrossRef]
  92. Dzidzornu, E.; Cherian, J.J.; D’souza, J.; Pandit, J. Ecopharmacovigilance: A review of cause, impact, and remedies. Med. Writ. 2023, 32, 118–121. [Google Scholar] [CrossRef]
  93. WHO. One Health. 2023. Available online: https://www.who.int/news-room/fact-sheets/detail/one-health (accessed on 8 May 2026).
  94. EU. European Parliament Resolution on a Strategic Approach to Pharmaceuticals in the Environment. 2020. Available online: https://www.europarl.europa.eu/doceo/document/TA-9-2020-0226_EN.html (accessed on 7 January 2019).
  95. OECD. Pharmaceutical Residues in Freshwater: Hazards and Policy Responses; OECD Publishing: Paris, France, 2019. [Google Scholar]
  96. Stefanache, A.; Marcinschi, A.; Marin, G.A.; Mitran, A.M.; Lungu, I.I.; Miftode, A.M.; Crivoi, F.; Lacatusu, D.; Baican, M.; Cioanca, O.; et al. Green Chemistry Approaches in Pharmaceutical Synthesis: Sustainable Methods for Drug Development. AppliedChem 2025, 5, 13. [Google Scholar] [CrossRef]
  97. Chacón, M.; Alvarez-Gonzalez, G.; Gosalvitr, P.; Berepiki, A.; Fisher, K.; Cuéllar-Franca, R.; Dixon, N. Complex waste stream valorization through combined enzymatic hydrolysis and catabolic assimilation by Pseudomonas putida. Trends Biotechnol. 2025, 43, 647–672. [Google Scholar] [CrossRef]
  98. He, D.; Wen, Y.J.; Wei, S.Z.; Li, S.K.; Liu, L.D.; Wu, J.M.; Zhou, Z.; Zhou, N.; Liu, H.M.; Zhou, Z.H. Conversation of pesticide residues into ammonium nitrogen (NH4+-N) through AOPs and its fertilization effect on lettuce growth. Biochar 2025, 7, 88. [Google Scholar] [CrossRef]
  99. Jiang, C.; Meng, Z. pH and CO2/N2 dual responsive Pickering emulsion stabilized by shellac nanoparticle-enzyme conjugates for synthesis of phytosterol esters. Food Chem. 2025, 493, 145555. [Google Scholar] [CrossRef] [PubMed]
  100. Wang, P.C.; Yang, X.W.; Lin, B.X.; Huang, J.Z.; Tao, Y. Cofactor self-sufficient whole-cell biocatalysts for the production of 2-phenylethanol. Metab. Eng. 2017, 44, 143–149. [Google Scholar] [CrossRef] [PubMed]
  101. Mehta, N. The synthetic microbial ecosystem: Rational design, dynamic control, and translational impact of consortia for sustainable waste valorization. ChemRxiv 2026. [Google Scholar] [CrossRef]
  102. Ishak, S.N.H.; Mat Saad, A.H.; Latip, W.; Rahman, R.A.R.N.Z.; Salleh, A.B.; Ahmad Kamarudin, N.H.; Leow, A.T.C.; Mohamad Ali, M.S. Enhancing industrial biocatalyst performance and cost-efficiency through adsorption-based enzyme immobilization: A review. Int. J. Biol. Macromol. 2025, 316, 144278. [Google Scholar] [CrossRef] [PubMed]
  103. Fisher, S.W.; Briggs, J.D. Environmental and ecological problems in the introduction of alien microorganisms in the soil. Agric. Ecosyst. Environ. 1988, 24, 325–335. [Google Scholar] [CrossRef]
  104. Arnold, B.J.; Huang, I.-T.; Hanage, W.P. Horizontal gene transfer and adaptive evolution in bacteria. Nat. Rev. Microbiol. 2022, 20, 206–218. [Google Scholar] [CrossRef]
  105. Kennedy, G.J.; Bowman, M.J.; Ascherl, K.L.; Nichols, N.N.; Saha, B.C. Biomass Demineralization and Pretreatment Strategies to Reduce Inhibitor Concentrations in Itaconic Acid Fermentation by Aspergillus terreus. Biomass 2024, 4, 1122–1141. [Google Scholar] [CrossRef]
  106. Kim, H.S.; Lee, J.Y.; Cho, Y.J.; Kim, H.S.; Kim, H.Y.; Sung, B.H. Governing Synthetic Biology: A Co-Evolutionary Framework for Sustainable Innovation. J. Microbiol. Biotechnol. 2025, 35, e2508001. [Google Scholar] [CrossRef]
  107. Salzano, D.; Shannon, B.; Grierson, C.; Marucci, L.; Savery, N.J.; di Bernardo, M. In-vivo distributed multicellular control of gene expression in microbial consortia. bioRxiv 2024. [Google Scholar] [CrossRef]
  108. Lázaro, H.M.; Otero-Muras, I.; Carbonell, P. BiosInt: Biosensor-based smart design of pathway dynamic regulation for industrial biomanufacturing. bioRxiv 2025. [Google Scholar] [CrossRef]
  109. Hsieh, Y.L. Computational Integration of Multi-Omics and Phenotype Data Into Genome-Scale Metabolic Models; Universität Potsdam: Potsdam, Germany, 2026. [Google Scholar] [CrossRef]
  110. Molina Ortiz, J.P.; McClure, D.D.; Holmes, A.; Rice, S.A.; Read, M.N.; Shanahan, E.R. Genome scale metabolic modelling of human gut microbes to inform rational community design. bioRxiv 2024. [Google Scholar] [CrossRef]
  111. Su, C.; Cui, H.T.; Wang, W.W.; Liu, Y.; Cheng, Z.Y.; Wang, C.; Yang, M.Q.; Qu, L.W.; Li, Y.; Cai, Y.J.; et al. Bioremediation of complex organic pollutants by engineered Vibrio natriegens. Nature 2025, 642, 1024–1033. [Google Scholar] [CrossRef] [PubMed]
  112. Madani, A.; Krause, B.; Greene, E.R.; Subramanian, S.; Mohr, B.P.; Holton, J.M.; Olmos, J.L.; Xiong, C.M.; Sun, Z.Z.; Socher, R.; et al. Large language models generate functional protein sequences across diverse families. Nat. Biotechnol. 2023, 41, 1099–1106. [Google Scholar] [CrossRef]
  113. Chauhan, S.; Singh, I.; Singh, M.; Sominder, A. Biotechnological Advancements in Active Pharmaceutical Ingredient Removal: Sustainable Solutions for Pharmaceutical Wastewater Treatment. Curr. Green Chem. 2026, 13, 103–123. [Google Scholar] [CrossRef]
  114. Sesay, F.; Sesay, R.E.V.; Kamara, M.; Li, X.S.; Niu, C.X. Biodegradation of pharmaceutical contaminants in wastewater using microbial consortia: Mechanisms, applications, and challenges. J. Environ. Manag. 2025, 384, 125564. [Google Scholar] [CrossRef]
Figure 1. Schematic diagram of the environmental sources, fate, and ecological risks of pharmaceutical pollutants.
Figure 1. Schematic diagram of the environmental sources, fate, and ecological risks of pharmaceutical pollutants.
Biology 15 00804 g001
Figure 2. Comparison of limitations between conventional treatment technologies and single biotechnology.
Figure 2. Comparison of limitations between conventional treatment technologies and single biotechnology.
Biology 15 00804 g002
Figure 3. Schematic diagram of the three core mechanisms of enzyme–microbe synergy. (a) Enzyme pretreatment–microbial mineralization is a typical forward cascade. It can cleave large molecules or recalcitrant structures into small fragments, creating conditions for subsequent microbial degradation. “Microbial initial degradation–enzyme precision catalysis” is a backward cascade: after microorganisms convert drug molecules into specific intermediate structures, highly selective enzymes subsequently intervene to drive the transformation toward completion. (b) The polysaccharides, proteins, nucleic acids, and lipids in EPS can interact with enzyme molecules, providing a stable microenvironment for them. Microbial metabolic activities can produce cofactors required for enzymatic catalysis, compensating for the deficiency of free enzyme systems that require exogenous addition. The close spatial proximity between enzymes and microorganisms can significantly enhance reaction efficiency. (c) Enzymes can achieve rapid transformation of pharmaceutical pollutants within a short period of time. By virtue of their complete intracellular metabolic networks, microorganisms can continuously decompose intermediate metabolites until they are ultimately converted into CO2 and H2O. The presence of microorganisms facilitates the concurrent detoxification of the potentially toxic byproducts generated from enzymatic reactions.
Figure 3. Schematic diagram of the three core mechanisms of enzyme–microbe synergy. (a) Enzyme pretreatment–microbial mineralization is a typical forward cascade. It can cleave large molecules or recalcitrant structures into small fragments, creating conditions for subsequent microbial degradation. “Microbial initial degradation–enzyme precision catalysis” is a backward cascade: after microorganisms convert drug molecules into specific intermediate structures, highly selective enzymes subsequently intervene to drive the transformation toward completion. (b) The polysaccharides, proteins, nucleic acids, and lipids in EPS can interact with enzyme molecules, providing a stable microenvironment for them. Microbial metabolic activities can produce cofactors required for enzymatic catalysis, compensating for the deficiency of free enzyme systems that require exogenous addition. The close spatial proximity between enzymes and microorganisms can significantly enhance reaction efficiency. (c) Enzymes can achieve rapid transformation of pharmaceutical pollutants within a short period of time. By virtue of their complete intracellular metabolic networks, microorganisms can continuously decompose intermediate metabolites until they are ultimately converted into CO2 and H2O. The presence of microorganisms facilitates the concurrent detoxification of the potentially toxic byproducts generated from enzymatic reactions.
Biology 15 00804 g003
Figure 4. Construction strategies of engineered biofilm and synthetic biology-engineered bacteria. (a) Enzymes and cells are co-dispersed in natural or synthetic polymers, and subsequently converted into immobilized particles via crosslinking or gelation [68]. (b) A uniform covalent organic framework (COF) armor is uniformly coated onto the cell surface, and enzymes are subsequently immobilized within this armor, enabling efficient co-localization of the enzymes and cells [54]. (c) The multi-enzyme complex FerTiG integrates the degradation module Tet(X4), the cofactor recycling module GDH, and the protective module Ferritin. GDH catalyzes the oxidation of glucose to provide the NADPH required by Tet(X4). Meanwhile, Ferritin forms a dense compartment around the two functional enzymes, thereby protecting them from adverse environmental factors such as high temperature, low pH, high osmolarity, and ultraviolet irradiation [41].
Figure 4. Construction strategies of engineered biofilm and synthetic biology-engineered bacteria. (a) Enzymes and cells are co-dispersed in natural or synthetic polymers, and subsequently converted into immobilized particles via crosslinking or gelation [68]. (b) A uniform covalent organic framework (COF) armor is uniformly coated onto the cell surface, and enzymes are subsequently immobilized within this armor, enabling efficient co-localization of the enzymes and cells [54]. (c) The multi-enzyme complex FerTiG integrates the degradation module Tet(X4), the cofactor recycling module GDH, and the protective module Ferritin. GDH catalyzes the oxidation of glucose to provide the NADPH required by Tet(X4). Meanwhile, Ferritin forms a dense compartment around the two functional enzymes, thereby protecting them from adverse environmental factors such as high temperature, low pH, high osmolarity, and ultraviolet irradiation [41].
Biology 15 00804 g004
Figure 5. Construction strategies for engineered biofilms and synthetic biology-engineered bacteria.
Figure 5. Construction strategies for engineered biofilms and synthetic biology-engineered bacteria.
Biology 15 00804 g005
Figure 6. Summary of removal efficacy of synergistic platforms for typical pharmaceutical pollutants.
Figure 6. Summary of removal efficacy of synergistic platforms for typical pharmaceutical pollutants.
Biology 15 00804 g006
Table 1. Environmental concentrations, sources, and ecological risks of typical pharmaceutical pollutants.
Table 1. Environmental concentrations, sources, and ecological risks of typical pharmaceutical pollutants.
Drug CategoryRepresentative DrugEnvironmental MatrixDetected Concentration RangeMain SourcesEcological Risk (RQ)References
AntibioticsCiprofloxacinSurface waternd–14.3 μg/LAquaculture wastewater, domestic sewage3.5–40.6[4,6,7]
SulfamethoxazoleSurface waternd–2.8 μg/LDomestic sewage, medical wastewater0.1–3.53[4,6,16]
TetracyclineSludge89–2300 μg/kgAquaculture wastewater-[10,16]
OfloxacinSludge2300 μg/kg (average)Domestic sewage-[16]
Anti-inflammatory drugsDiclofenacSurface waternd–1.2 μg/LDomestic sewage<0.1[12,16]
IbuprofenWWTP effluent0.1–2.5 μg/LDomestic sewage<0.1[12,13]
HormonesOctylphenolSludge1179 ng/g (average)Industrial/domestic sewage-[12]
TriclosanSludge1505 ng/g (average)Personal care products-[12]
Antiviral drugsVarious ARVsSurface waternd–3.2 μg/LMedical wastewaterTo be assessed[6,18]
PesticidesDiuronSurface waternd–0.8 μg/LAgricultural runoff0.1–0.5[15,19]
nd: not determined.
Table 2. Comparison of advantages and disadvantages of conventional physicochemical treatment technologies for pharmaceutical pollutants.
Table 2. Comparison of advantages and disadvantages of conventional physicochemical treatment technologies for pharmaceutical pollutants.
Technology TypeRemoval MechanismAdvantagesDisadvantagesExample Drug ApplicationsReferences
Coagulation–flocculationCharge neutralization, bridging adsorptionSimple operation, low cost, suitable for large scaleLow removal efficiency for dissolved drugs, large sludge productionHydrophobic drugs[1]
AdsorptionPhysical/chemical adsorptionHigh removal rate, simple equipmentPhase transfer only (non-degradative), high adsorbent regeneration costMultiple drugs[21,22]
Membrane separationSieving, charge repulsionHigh separation efficiency, no chemical additionMembrane fouling, high energy consumption, difficult concentrate disposalLarge molecule drugs[23]
ElectrocoagulationIn situ coagulant generationWide applicability, no external chemicals requiredHigh energy consumption, electrode consumptionAntibiotics[24,25]
OzonationDirect oxidation/·OH oxidationRapid reaction, no sludge productionPotential generation of toxic byproducts, complex equipmentDrugs with unsaturated structures[26]
Photocatalysis·OH oxidationComplete mineralization possible, utilizes solar energyDifficult catalyst recovery, limited scalabilityMultiple drugs[27,28,29]
Electrochemical oxidationDirect/indirect oxidationStrong oxidation capacity, good controllabilityHigh energy consumption, limited electrode lifeRefractory drugs[26,30]
Fenton oxidation·OH oxidationRapid reaction, simple equipmentNarrow pH range applicability, iron sludge generationMultiple drugs[26,30]
Table 3. Summary of inactivation mechanisms of enzymes induced by environmental factors.
Table 3. Summary of inactivation mechanisms of enzymes induced by environmental factors.
Environmental FactorPrimary Inactivation MechanismMolecular-Level ExplanationRepresentative Data/CaseReference(s)
pH deviation from optimumAlteration of active site ionization state; induction of non-native association/aggregationChange in protonation state of catalytic residues; surface charge alterations leading to aggregationEstGtA2 forms a non-native associated state (300 nm apparent particle size) resistant to unfolding up to 95 °C at specific pH[36]
Elevated temperatureEnhanced thermal vibration; conformational collapse; activity/stability trade-offDisruption of hydrogen bonds and hydrophobic interactions; competition between kinetic acceleration and inactivationLaccase tends to inactivate above 45 °C[37]
High ionic strengthCharge screening promoting aggregation; direct inhibition of active sites“Salting-out” effect disrupting the hydration layer; interference with metal cofactors by metal ions/halidesFe(III) and Cu(II) significantly inhibit BPA conversion[37]
Combined stress (pH + temperature)Synergistic acceleration of inactivationInactivation follows first-order kinetics (kd); faster inactivation as conditions deviate from optimumSerine protease exhibits minimal kd at pH 9 and 37 °C[38]
Table 4. Comparison of free enzymes and immobilized enzymes: cost and stability data.
Table 4. Comparison of free enzymes and immobilized enzymes: cost and stability data.
ParameterFree EnzymeImmobilized EnzymeImprovement FactorReference(s)
Unit cost~1 USD/cm3~0.107 USD/cm3~90% reduction[43]
Residual activity after 6 h at 50 °C40.63%>85%~2-fold increase[44]
Residual activity after 6 h UV exposure7.23%92.88%~13-fold increase[44]
Optimal temperature50 °C55–60 °C5–10 °C increase[45]
Number of reusability cycles19 cycles with ~50% retentionMultiple cycles[46]
Storage stabilityDays to weeks>50% activity after 8 weeksSignificantly extended[46]
Table 5. Main construction strategies and technical characteristics of enzyme–microbe synergistic platforms.
Table 5. Main construction strategies and technical characteristics of enzyme–microbe synergistic platforms.
Synergy StrategySpecific TechnologyCarrier/PlatformKey FeaturesAdvantagesLimitations
Co-immobilizationPolymer entrapmentAlginate, PVAPhysical entrapmentSimple operation, low costHigh mass transfer resistance
COF immobilizationCovalent organic frameworksPorous armor, co-localizationEnzyme protection, good substrate diffusionComplex synthesis
MOF immobilizationMetal–organic frameworksHigh surface area, tunable pore sizeHigh stabilityBiocompatibility needs optimization
Mimetic microcompartment compositeFerritin shellMulti-enzyme assembly, cofactor cycling7× efficiency ↑, 10× cost ↓Complex design
BiofilmNatural biofilmEPS matrixExtracellular enzyme retention, community metabolismHigh stability, self-renewalDifficult regulation
Engineered biofilmCsgA scaffoldSpyTag/SpyCatcher fusionModular design, programmableLong construction cycle
Cofactor regulationBiofilmInduced formation by cofactor exchangeEnhanced stress toleranceComplex mechanism
Engineered bacteriaSurface displayBacterial surfaceEnzymes displayed on cell surfaceOvercomes substrate transmembrane limitationLimited display efficiency
Intracellular expressionCytoplasmIntracellular expression of engineered enzymesUtilizes intracellular metabolismSubstrates require transmembrane transport
Multi-enzyme intracellular assemblyArtificial microcompartmentMimics bacterial microcompartmentsEfficient cascade catalysisDifficult assembly
Notes: ↑: increase; ↓: decrease.
Table 6. Summary of research cases on the treatment of typical pharmaceutical pollutants by synergistic platforms.
Table 6. Summary of research cases on the treatment of typical pharmaceutical pollutants by synergistic platforms.
Drug CategorySpecific DrugSynergy Platform TypePlatform CompositionExperimental ConditionsRemoval EfficiencyKey FindingsCost Analysis
TetracyclinesTetracyclineMimetic microcompartment multi-enzyme complexFerTiG (Tet(X4) + GDH + Ferritin)Glucose-driven, room temperature>90% (24 h)10× cost reduction, 7× efficiency improvement, strong stress resistance10-fold cost reduction via cofactor recycling; glucose as low-cost driving fuel
FluoroquinolonesCiprofloxacinEngineered biofilmE. coli CsgA-laccase fusionFlow system, room temperature85% (48 h)Long-term stable operation, modular designEconomical due to self-regenerating biofilm; no external enzyme supplementation required
SulfonamidesSulfamethoxazoleMicrobial consortium + enzymeOriented microbial consortium-based compound enzymeWastewater treatment conditions70–80%Simultaneous ARGs removalCost-effective using agricultural/food residues (vine pruning, brewer’s spent grains) as enzyme production substrate; 50 U·L−1 low enzyme concentration
Anti-inflammatory drugsDiclofenacLaccase + microorganismFree laccase + activated sludgeBatch experiment75%Laccase pretreatment enhances biodegradationModerate cost; reduces subsequent biotreatment burden
PesticidesDiuronEngineered bacteria (intracellular expression)B. megaterium expressing CYP450 BM3TB medium65% (5 d)45% in synthetic wastewater, 15% in municipal wastewaterRequires IPTG induction; cost of heterologous expression system
DiuronEngineered microalgae (chloroplast expression)C. reinhardtii expressing CYP450 BM3Light culture52%Wild type only 6%Lower cost than bacterial system; light-driven, no inducer required
Plastic monomersPET (methodological reference)Surface displays dual enzymesE. coli displaying PETase + MHETase37 °C3.85 mM/d51× improvement over free enzyme, reusableHigh reusability (3 cycles retain 30% activity); reduces long-term costs
Multiple drugs14 drugsWWTP (biofilm)Activated sludge processActual WWTP>90% (majority)Triclosan and octylphenol still persisted in sludgeLow operational cost for existing infrastructure; sludge disposal adds expense
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sun, Z.; Chen, P.; Ge, X.; Zhang, W.; Liu, H. Synergistic Integration of Enzyme and Microbial Platforms for Sustainable Management of Pharmaceutical Pollutants: Towards a Greener Pharmaceutical Lifecycle. Biology 2026, 15, 804. https://doi.org/10.3390/biology15100804

AMA Style

Sun Z, Chen P, Ge X, Zhang W, Liu H. Synergistic Integration of Enzyme and Microbial Platforms for Sustainable Management of Pharmaceutical Pollutants: Towards a Greener Pharmaceutical Lifecycle. Biology. 2026; 15(10):804. https://doi.org/10.3390/biology15100804

Chicago/Turabian Style

Sun, Zhongshan, Peitao Chen, Xiangyang Ge, Weiguo Zhang, and Huanmin Liu. 2026. "Synergistic Integration of Enzyme and Microbial Platforms for Sustainable Management of Pharmaceutical Pollutants: Towards a Greener Pharmaceutical Lifecycle" Biology 15, no. 10: 804. https://doi.org/10.3390/biology15100804

APA Style

Sun, Z., Chen, P., Ge, X., Zhang, W., & Liu, H. (2026). Synergistic Integration of Enzyme and Microbial Platforms for Sustainable Management of Pharmaceutical Pollutants: Towards a Greener Pharmaceutical Lifecycle. Biology, 15(10), 804. https://doi.org/10.3390/biology15100804

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop