Performance of Yeast Microbial Fuel Cell Integrated with Sugarcane Bagasse Fermentation for COD Reduction and Electricity Generation

Christwardana, Marcelinus; Joelianingsih, J.; Yoshi, Linda Aliffia

doi:10.9767/bcrec.16.3.9739.446-458

Cited by 12 publications

(13 citation statements)

References 68 publications

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“…The main purpose of this section is to determine the best values of the glucose concentration and glucose/yeast ratio to maximize the output power of YMFC. The decision variables' upper and lower boundaries are set to [15,10] and [5,1]. These figures are derived from measured data.…”

Section: Optimization Resultsmentioning

confidence: 99%

“…where, f (X) is the fuzzy model's output; X = [x 1 , x 2 ] are the input parameters, which varied in the ranges x 1 ∈ [5,15] and…”

Section: Fuzzy Based Model Of Ymfcmentioning

confidence: 99%

“…Typically, the biocatalyst used in MFCs is a simple microorganism (prokaryotes) or complex microorganism (eukaryotes). Many yeast strains were used as biocatalysts in MFCs, such as Hansenula polymorpha [13], Candida melibiosica [14], Saccharomyces cerevisiae [15], Kluyveromyces marxianus [16], Arxula adeninivorans [17] and Hansenula anomala [18].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Modelling and Optimization of Yeast-MFC for Simultaneous Wastewater Treatment and Electrical Energy Production

et al. 2023

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Microbial fuel cells convert the chemical energy conserved in organic matter in wastewater directly to electrical energy through living microorganisms. These devices are environmentally friendly thanks to their ability to simultaneously produce electrical energy and wastewater treatment. The output power of the yeast microbial fuel cell (YMFC) depends mainly on glucose concentration and glucose/yeast ratio. Thus, the paper aims to boost the power of YMFC by identifying the best values of glucose concentration and glucose/yeast ratio. The suggested approach comprises fuzzy modelling and optimization. Fuzzy is used to build the model based on the measured data. In the optimization stage, the marine predators’ algorithm (MPA) is applied to identify the best glucose concentration values and glucose/yeast ratio corresponding to the maximum output power of YMFC. The results revealed the superiority of the combination of fuzzy and MPA compared with the response surface methodology (RSM) approach. Regarding the modelling accuracy, the coefficient of determination increased by 13.32% and 8.37%, respectively, for without methylene blue and with methylene blue compared with RSM. The integration between fuzzy and MPA succeeded in maximizing the output power from YMFC. Without MB, the power density increased by 25% and 29.3%, respectively, compared with measured data and RSM. In addition, with MB, the power density increased by 22.4% and 26%, compared with measured data and RSM.

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Section: Optimization Resultsmentioning

confidence: 99%

“…where, f (X) is the fuzzy model's output; X = [x 1 , x 2 ] are the input parameters, which varied in the ranges x 1 ∈ [5,15] and…”

Section: Fuzzy Based Model Of Ymfcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuzzy Modelling and Optimization of Yeast-MFC for Simultaneous Wastewater Treatment and Electrical Energy Production

et al. 2023

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“…This oxidation releases electrons, decreasing the number of carbon atoms and transforming acetate into acetyl-CoA for the Krebs cycle. Electron Transfer Chain activation uses high-energy molecules for redox reactions ( Christwardana et al, 2021 ).…”

Section: Biological Methods and Mechanism Of Degradationmentioning

confidence: 99%

Harnessing fungal bio-electricity: a promising path to a cleaner environment

Umar,

Mubeen,

Ali

et al. 2024

Front. Microbiol.

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Integrating fungi into fuel cell systems presents a promising opportunity to address environmental pollution while simultaneously generating energy. This review explores the innovative concept of constructing wetlands as fuel cells for pollutant degradation, offering a practical and eco-friendly solution to pollution challenges. Fungi possess unique capabilities in producing power, fuel, and electricity through metabolic processes, drawing significant interest for applications in remediation and degradation. Limited data exist on fungi’s ability to generate electricity during catalytic reactions involving various enzymes, especially while remediating pollutants. Certain species, such as Trametes versicolor, Ganoderma lucidum, Galactomyces reessii, Aspergillus spp., Kluyveromyce smarxianus, and Hansenula anomala, have been reported to generate electricity at 1200 mW/m3, 207 mW/m2, 1,163 mW/m3, 438 mW/m3, 850,000 mW/m3, and 2,900 mW/m3, respectively. Despite the eco-friendly potential compared to conventional methods, fungi’s role remains largely unexplored. This review delves into fungi’s exceptional potential as fuel cell catalysts, serving as anodic or cathodic agents to mitigate land, air, and water pollutants while simultaneously producing fuel and power. Applications cover a wide range of tasks, and the innovative concept of wetlands designed as fuel cells for pollutant degradation is discussed. Cost-effectiveness may vary depending on specific contexts and applications. Fungal fuel cells (FFCs) offer a versatile and innovative solution to global challenges, addressing the increasing demand for alternative bioenergy production amid population growth and expanding industrial activities. The mechanistic approach of fungal enzymes via microbial combinations and electrochemical fungal systems facilitates the oxidation of organic substrates, oxygen reduction, and ion exchange membrane orchestration of essential reactions. Fungal laccase plays a crucial role in pollutant removal and monitoring environmental contaminants. Fungal consortiums show remarkable potential in fine-tuning FFC performance, impacting both power generation and pollutant degradation. Beyond energy generation, fungal cells effectively remove pollutants. Overall, FFCs present a promising avenue to address energy needs and mitigate pollutants simultaneously.

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“…Hence, in a given time period, microbes can use acetic acid more efficiently than the more complex substrates, and generate the greatest number of electrons (producing more voltage). A previous study [32] evaluated the possibility of bagasse as a substrate to produce voltage along with COD reduction in an MFC under anaerobic conditions. The authors indicated the possibility of converting bagasse extract into sustainable bioenergy.…”

Section: Electron and Voltage Generation In The Mfcmentioning

confidence: 99%

Bioenergy Potential of Albumin, Acetic Acid, Sucrose, and Blood in Microbial Fuel Cells Treating Synthetic Wastewater

et al. 2021

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Microbial fuel cells (MFCs) are a recent biotechnology that can simultaneously produce electricity and treat wastewater. As the nature of industrial wastewater is very complex, and it may contain a variety of substrates—such as carbohydrates, proteins, lipids, etc.—previous investigations dealt with treatment of individual pollutants in MFCs; the potential of acetic acid, sucrose, albumin, blood, and their mixture has rarely been reported. Hence, the current investigation explored the contribution of each substrate, both separately and in mixture. The voltage generation potential, current, and power density of five different substrates—namely, acetic acid, sucrose, albumin, blood, and a mixture of all of the substrates—was tested in a dual-chambered, anaerobic MFC operated at 35 °C. The reaction time of the anaerobic batch mode MFC was 24 h, and each substrate was treated for 7 runs under the same conditions. The dual-chambered MFC consisted of anode and cathode chambers; the anode chamber contained the biocatalyst (sludge), while the cathode chamber contained the oxidizing material (KMnO4). The maximum voltage of 769 mV was generated by acetic acid, while its corresponding values of current and power density were 7.69 mA and 347.85 mW, respectively. Similarly, being a simple and readily oxidizable substrate, acetic acid exhibited the highest COD removal efficiency (85%) and highest Coulombic efficiency (72%) per run. The anode accepted the highest number of electrons (0.078 mmol/L) when acetic acid was used as a substrate. The voltage, current, and power density generated were found to be directly proportional to COD concentration. The least voltage (61 mV), current (0.61 mA), and power density (2.18 mW) were observed when blood was treated in the MFC. Further research should be focused on testing the interaction of two or more substrates simultaneously in the MFC.

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Performance of Yeast Microbial Fuel Cell Integrated with Sugarcane Bagasse Fermentation for COD Reduction and Electricity Generation

Cited by 12 publications

References 68 publications

Fuzzy Modelling and Optimization of Yeast-MFC for Simultaneous Wastewater Treatment and Electrical Energy Production

Fuzzy Modelling and Optimization of Yeast-MFC for Simultaneous Wastewater Treatment and Electrical Energy Production

Harnessing fungal bio-electricity: a promising path to a cleaner environment

Bioenergy Potential of Albumin, Acetic Acid, Sucrose, and Blood in Microbial Fuel Cells Treating Synthetic Wastewater

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