Strategies for Enhancing Extracellular Electron Transfer in Environmental Biotechnology: A Review
Abstract
:1. Introduction
2. Mechanism of Extracellular Electron Transport in Microorganisms
2.1. Direct Electron Transfer (DET)
2.2. Indirect Electron Transfer (IET)
2.3. Factors Affecting EET Efficiency
3. Strategies for Enhancing EET in Environmental Biotechnology
3.1. Genetic Engineering Approaches
- (a)
- Overexpression of key EET genes
- (b)
- Exogenous EET
3.2. Biofilm Formation and Optimization
- (a)
- Biofilm matrix engineering
- (b)
- Quorum sensing manipulation for biofilm development
3.3. Electron Shuttles and Mediators
- (a)
- Use of natural or synthetic compounds as electron shuttles
- (b)
- The use of conductive nanowires
3.4. Electrode Modifications and Design
3.5. External Electricity or Electric Field
3.6. Enhancing EET by Photo
3.7. Enhancing EET by Magnetism
3.8. Integrated Strategies for Enhancing EET
- Additive manufacturing (AM): AM, commonly referred to as 3D printing, is a rapidly advancing technological innovation that has made significant contributions to MFC technology in recent times.A study by Calignano et al. [97] (Figure 5) explored the limits of AM technology in the creation of a powering device that is entirely based on AM. The study focused on utilizing low-density and open porosities to accommodate microorganisms, as well as developing systems that are easily fueled continually and operate securely. A maximum energy recovery of approximately 3 kWh m−3 per day was achieved, which is capable of supplying power to sensing devices and low-energy electronic gadgets. This facilitates data conveyance and analysis from remote and challenging situations. AM facilitates the design for the assembly of MFCs, thereby mitigating mistakes as a result of human intervention and expediting the installation procedure. In a study by Zawadzki et al. [98], AM techniques were also employed to construct an MFC with the incorporation of an exchangeable membrane slot. This enabled them to examine the effects of different separator membranes. The utilization of AM in the production of tango membranes has demonstrated promising prospects for membrane manufacturing and power-generating capabilities. However, it is worth noting that the power output achieved (0.92 μW) by this method was relatively low in comparison to the conventional cation exchange membrane technology (11.39 μW). Similarly, Slate [99] investigated enhancing the power outputs of MFCs with the integration of graphene into electrodes fabricated using 3D printing technology. The electrodes underwent an evaluation to assess their electrical efficiency, chemistry, and appearance, thereby showcasing the prospective application of AM in the production of MFCs. Furthermore, AM technology, such as inkjet printing, was used in a study by Sawa et al. [100]. The research showcased the practicability of employing a readily available commercial inkjet printer for the production of a thin-film paper-based biophotovoltaic cell. This cell comprised a layer of cyanobacterial cells positioned above a conducting surface composed of carbon nanotubes. The researchers discovered that the printed cyanobacteria can produce a continuous electrical current for a duration exceeding 100 h. This phenomenon occurs both in the absence of light, functioning as a “solar bio-battery”, and in the presence of light, functioning as a “bio-solar-panel”. These findings suggest its possible use in low-power devices. The utilization of the inkjet printing technique facilitated precise positioning of the cyanobacteria onto the anode surface, hence facilitating the proximity of the printed cathode. The printing technique was optimized to achieve ideal biofilm layer thicknesses to maximize power generation. The aforementioned authors were pioneers in employing an inkjet printer to print photosynthetic microorganisms, specifically cyanobacteria, onto a bio-photovoltaic (BPV) cell. Consequently, AM offers the potential to utilize diverse materials and 3D printing techniques to develop a comprehensive MFC tailored to different applications. This helps to expedite the optimization process of individual MFC components, leading to enhanced effectiveness and ease in reactor design and consequently, the system will experience functional improvements. AM has the potential to significantly impact the field of biological power generation devices due to its advantages such as decreased lead time, enhanced design flexibility, cost-effectiveness, and expedited prototyping capabilities. In addition, AM offers a shorter route from the research laboratory to large-scale production. Ultimately, the advancements offered by AM can be effectively implemented in several other bioelectronic systems, including biological sensors, implantable biomedical devices, and biocomputing systems [101].
- Artificial Intelligence (AI) and Machine Learning: Numerous research investigations have been undertaken to examine the performance of mathematical models in the field of artificial intelligence (AI). These studies include the works of [102,103,104,105]. A study by de Ramon-Fernande et al. [106] employed an artificial neural network (ANN) computational model to investigate the relationship between power output and flow rate in a ceramic MFC that was supplied with human excreta, specifically urine. The training, comparison, precision forecasting, and time to convergence assessment were performed using three algorithms: the quasi-Newton technique, the Levenberg–Marquardt algorithm, and the conjugate gradient method, all of which are of third order. The Levenberg–Marquardt algorithm had superior performance in comparison with alternative models in terms of precision, with an R-value of 95%. Additionally, it exhibited faster convergence, with a time of 7.8 s. The findings of the study demonstrate that the use of an ANN computational model is both helpful and accurate for predicting energy requirements in ceramic MFCs when subjected to varying flow rates. Additionally, the feasibility of adopting this model for energy forecasting in ceramic MFCs is established. Lesnik and Liu [107] also implemented the utilization of artificial neural network (ANN) models to forecast the biofilm communities and reactor performance of MFCs. The research observed that ANN models that integrated biotic interactions demonstrated superior accuracy in predicting reactor performance outcomes compared to models that did not incorporate such interactions. This finding suggests that data mining and machine-learning techniques can effectively forecast the behavior of microbial communities and the performance of bioelectrochemical systems. In another study by Zhang et al. [108], a four-input ANN model was effectively utilized to accurately forecast the levels of glycerol, 1,3-PDO, and biomass. The proposed model exhibits applicability not only in the realm of software for online measurement of glycerol and 1,3-PDO during the industrialization process but also offers valuable insights for other fermentation processes. In BESs, substrate prediction can also be carried out with AI-based techniques. In a study by Cai et al. [109], six machine learning algorithms were trained and it was discovered that feed substrates could be predicted using information about the microbial community. These algorithms included logistic regression multiclass (GLMNET), random forest (RF), the scalable tree boosting system (XGBOOST), the neural network (NNET), k-nearest neighbor (KNN), and the support vector machine with radial kernel (SVM). The NNET method demonstrated the highest accuracy (93 ± 6%), allowing for the distinction between various feed substrates [110]. Similarly, a study by Leropoulos et al. [111] applied automation by utilizing a robotic platform known as EcoBot. This platform was developed using artificial intelligence techniques derived from artificial evolution. The concept aimed to leverage the use of robots in facilitating evolutionary processes to create functional ecosystems that establish symbiotic relationships between living organisms and artificial life chemistries. This results in an enhancement of energy generation in MFCs. The conversion of a robot platform, derived from an open-source 3D printer, enables its utilization for liquid management and real-time monitoring of experimental outcomes. The outcomes derived from these illustrative instances demonstrate that artificial intelligence has the potential to enhance and evaluate the performance of MFCs. Furthermore, genetic programming (GP) is an additional technique that makes it possible to optimize the AI model’s structure by minimizing errors through the use of algorithms like cross-validation and the Kennard–Stone algorithm [110]. To incorporate novel components into bacterial cells, one can use the de novo protein design technique. The assembly of peptides into protein structure is connected to the design architecture of de novo and the bundling of α-helices into metal-binding proteins is one way to accomplish this. Short gene fragments are integrated into the genes of E. coli in bacterial surface display systems and LamB, OmpA, Lpp-OmpA, and PhoE coli OM proteins coordinate protein integration into the outer membrane cells [112]. Similarly, genetically modifying E. coli was used to facilitate EET by introducing a biosynthetic pathway for Pseudomonas phenazine-1-carboxylic acid [113]. The findings of the study demonstrated that the implementation of this electrochemical system resulted in a notable augmentation in the synthesis of phenazine-1-carboxylic acid, consequently improving the EET efficiency of MFCs. Another versatile algorithm for flexible diagnosis and control is fuzzy logic (FL). This technique is capable of observing data and forecasting system outputs logically. FL is frequently used as an intermediate step to streamline data processing and lessen the negative impact on model accuracy [114].
- Hybrid Systems: The hybrid technique is another system which integrates two treatment systems, resulting in the enhanced performance efficiency of the overall system. It was noted that the implementation of a constructed wetland (CW)-MFC containing activated carbon granules and manganese ore can enhance the biochemical processes involved in N-transformations in the absence of oxygen [115].
4. Challenges and Future Directions
- Diversity of microorganisms: The effectiveness of electrochemically active microbial communities in BESs can be impacted by their diverse features [136]. The coexistence of diverse species can lead to competition for resources and electron donors/acceptors, impacting the efficiency of EET. Syntrophic interactions between different species can also affect EET efficacy. Changes in microbial diversity resulting from variations in environmental circumstances or disturbances, such as pH, temperature, and oxygen levels, can induce modifications in EET. The structure and composition of biofilms on electrode surfaces can also be influenced by microbial diversity. Different microbial species use different methods for electron transfer, and the effectiveness and kinetics of EET can be influenced by the presence of different microbial species that possess unique electron transfer mechanisms. A diverse microbial community can also display a broad spectrum of redox potentials, potentially causing inefficiencies if there is a lack of alignment between the electron donor and acceptor potentials.
- Scaling up: While laboratory-scale studies have demonstrated the potential of BESs for various applications, scaling up these systems for practical implementation poses significant challenges [137], including the design and arrangement of electrodes, achieving uniform current distribution, and integrating nanostructured materials like carbon nanotubes or graphene into larger systems. Ensuring biofilm stability and uniformity across larger electrode surfaces is crucial for efficient performance. Additionally, expanding EET operations requires supplementary energy inputs, ensuring equilibrium between input and output, and considering the financial implications of implementing the technology. Adherence to environmental and safety regulations is also essential for real-world implementation, as the size of systems increases.
- Substrate availability and selectivity: The efficacy of EET processes is contingent upon the presence of appropriate electron acceptors or donors within the surrounding environment [138]. Furthermore, the selection and accessibility of acceptable substrates for bioelectrochemical systems may be constrained. Numerous systems are dependent on intricate organic substrates or wastewater, the accessibility and economic viability of which may not be generally prevalent. In the context of bioremediation applications, the utilization of EET by microorganisms to break down pollutants relies heavily on the presence of electron acceptors, specifically metal oxides or electrodes, which play a vital role in supporting and maintaining microbial activity. The presence of a limited amount of substrate can result in partial degradation of pollutants, hence diminishing the overall efficiency of remediation processes. Likewise, within MFCs, the process of microbial oxidation of organic materials to produce electricity via EET can be hindered by inadequate substrate availability, resulting in diminished power generation and compromised overall MFC efficiency. Additionally, there is the possibility of substrate competition, when microorganisms exhibit a preference for other pathways instead of EET, resulting in a decrease in the efficiency of electron transfer.
- Biofouling and system stability: The occurrence of biofouling results in the development of insulating layers on the surfaces of electrodes [139], and this can impede electron transmission between microbes and electrodes. Consequently, this results in instability in bioelectrochemical systems due to variations in biofilm thickness, microbial composition, and detachment–reattachment dynamics. Biofouling can also deteriorate electrode materials, necessitating frequent replacements. Effective management and prevention of biofouling often require increased maintenance efforts, which can be costly and result in logistical complexities in the practical implementation of BESs.
- Integration with renewable energy systems: Renewable energy sources, like solar or wind power, can be integrated with bioelectrochemical systems to improve their overall sustainability and energy efficiency [140]. Nevertheless, there are obstacles to overcome concerning power management, system integration, and the optimization of the synergy between the various components. Numerous forms of renewable energy, including wind and solar, are intermittent by nature. The intermittent nature of this power supply may result in variations in its accessibility, which may have an impact on the reliability and consistency of EET operations. It can be difficult to deal with the intermittent character of renewable energy sources with the continuous operation necessary for specific EET applications. An additional obstacle that may arise is the efficacy of transforming renewable energy into electrical power, which is subsequently employed in EET processes. It is essential to maximize overall efficiency by minimizing losses at each stage of the system and optimizing energy conversion processes. Unanticipated obstacles, such as fluctuations in microbial community dynamics or severe weather conditions, may affect the dependability and stability of the integrated system. Therefore, it is crucial that the stability and resilience of long-term practical implementation of integrated EET and renewable energy systems can be guaranteed.
- Leverage advanced molecular techniques for microbial community analysis and engineering: Advanced molecular techniques, including metagenomics, metatranscriptomics, and metaproteomics, offer the opportunity to thoroughly analyze the composition, functional capabilities, and activity of microbial communities in various ecological settings [141]. Through the implementation of these techniques, it becomes feasible to discern crucial microbial participants engaged in EET and attain a deeper understanding of their metabolic pathways, processes of electron transfer, and interconnections within intricate ecological systems. In addition, the utilization of sophisticated molecular techniques enables precise modification of microbial communities to enhance the efficiency of EET. This may encompass the engineering of crucial EET-related genes in dominant or electrochemically active microorganisms, including the creation of synthetic microbial communities with predetermined functions in electron transfer mechanisms. The utilization of molecular tools enables the development of customized strategies to address the adverse effects of microbial diversity on EET applications.
- Development of advanced electrode materials and reactor designs: It is possible to create electrodes that possess improved conductivity and surface characteristics that enable efficient long-distance electron transmission in larger-scale systems. Furthermore, the use of innovative reactor designs that enhance mass transport and promote biofilm development [142] can play a significant role in addressing the obstacles related to the scaling up of EET processes.
- Utilizing a wide range of substrates: Various microbes possess unique metabolic capacities. The provision of varied substrates will promote the proliferation of a heterogeneous microbial community, characterized by distinct enzymatic activities and pathways involved in EET. The adaptability of these entities enables them to adjust to varying circumstances and guarantees uninterrupted electron transport, even in situations when there is a scarcity of particular substrates. This phenomenon may also serve to bolster the stability and structure of biofilms, as a well-organized biofilm can improve the effectiveness of EET mechanisms by creating a conducive environment for microbial adhesion and electron transfer.
- Managing and controlling biofouling: The modification of surfaces involved in EET systems has the potential to mitigate the occurrence of biofouling. One such approach is the utilization of electrode materials possessing anti-fouling capabilities [139]. As biofouling is frequently driven by biofilm production, techniques aiming at stimulating the formation of conductive biofilms through the selection of electrode materials that enable the growth of conductive biofilms can be beneficial. Furthermore, efforts for controlling biofilm thickness and composition will aid in maintaining a balance between the advantages of biofilm-mediated electron transfer and the possible disadvantages of excessive biofilm growth.
- Introduction of energy storage and hybrid systems and smart grid technologies: Energy storage technologies, such as batteries and pumped hydro storage [140], can efficiently store surplus energy created during periods of high production and subsequently release it during periods of low output. By incorporating these storage devices with sustainable energy sources, the variations in power availability can be alleviated, hence offering a more uniform and reliable power provision for EET operations. Moreover, the integration of various renewable energy sources or the fusion of renewable energy with conventional power sources gives rise to hybrid systems. This strategy effectively broadens the range of energy sources utilized and reduces the impact of intermittent energy supply. Furthermore, the integration of smart grid technologies facilitates enhanced control and allocation of electrical power resources. These systems possess the potential to effectively manage the equilibrium between supply and demand by dynamically adjusting to variations in the availability of renewable energy sources.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Reactor Configuration | Plant | Maximum Power Generated | Ref. |
---|---|---|---|
Plant–MFC | Glyceria maxima | 67 mW/m2 | [116] |
Plant–MFC | O. sativa | 330 mW/m2 | [117] |
Plant–MFC | Spartina anglica | 100 mW/m2 | [118] |
Plant–MFC | S. anglica | 222 mW/m2 | [119] |
Plant–MFC | Arundinella anomala | 222 mW/m2 | [119] |
Plant–MFC | Echinorriea crassipes | 224.93 mA/m2 | [120] |
Plant–MFC | Pennisetum setaceum | 8.84 mW/m2 | [121] |
Plant–MFC | Ipomoea aquatica | 105 mA/m2 | [122] |
Plant–MFC | Cyperus involucratus | 5.99 mW/m2 | [123] |
Plant–MFC | S. anglica | 240 mW/m2 | [124] |
Plant–MFC | Typha latifolia | 6.12 mW/m2 | [125] |
Plant–MFC | O. sativa | 140 mW/m2 | [126] |
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Hazzan, O.O.; Zhao, B.; Xiao, Y. Strategies for Enhancing Extracellular Electron Transfer in Environmental Biotechnology: A Review. Appl. Sci. 2023, 13, 12760. https://doi.org/10.3390/app132312760
Hazzan OO, Zhao B, Xiao Y. Strategies for Enhancing Extracellular Electron Transfer in Environmental Biotechnology: A Review. Applied Sciences. 2023; 13(23):12760. https://doi.org/10.3390/app132312760
Chicago/Turabian StyleHazzan, Oluwadamilola Oluwatoyin, Biyi Zhao, and Yong Xiao. 2023. "Strategies for Enhancing Extracellular Electron Transfer in Environmental Biotechnology: A Review" Applied Sciences 13, no. 23: 12760. https://doi.org/10.3390/app132312760
APA StyleHazzan, O. O., Zhao, B., & Xiao, Y. (2023). Strategies for Enhancing Extracellular Electron Transfer in Environmental Biotechnology: A Review. Applied Sciences, 13(23), 12760. https://doi.org/10.3390/app132312760