Research Library
Discover insights from thousands of peer-reviewed papers on microbial electrochemical systems
Discover insights from thousands of peer-reviewed papers on microbial electrochemical systems
Wenrui Shen, Xiaoran Zhao, Xiaoliang Wang et al.
Environmental Research • 2020
Aarti Atkar, S. Sridhar, Shubhangi Deshmukh et al.
Materials Science and Engineering B • 2023
Verjesh Kumar Magotra, Tae Won Kang, Abu Talha Aqueel Ahmed et al.
Biomass and Bioenergy • 2021
Mitra Ahanchi, Tahereh Jafary, Anteneh Mesfin Yeneneh et al.
Journal of Cleaner Production • 2022
Lili Lin, Zhiwei Li, Bo Zhang et al.
Journal of environmental chemical engineering • 2022
Yanjie Niu, Xinmin Liu, Guozhang Chang et al.
The Science of The Total Environment • 2020
Wei Yang, Yingying Dong, Jun Li et al.
International Journal of Hydrogen Energy • 2020
Mpumelelo T. Matsena, Shepherd M. Tichapondwa, Evans M. N. Chirwa
Electrochimica Acta • 2020
Dengbin Yu, Hui Zhang, Lu Bai et al.
Sensors and Actuators B Chemical • 2019
Agnieszka Tomczyk, Z. Sokołowska, Patrycja Boguta
Reviews in Environmental Science and Bio/Technology • 2020
Abstract Biochar is a pyrogenous, organic material synthesized through pyrolysis of different biomass (plant or animal waste). The potential biochar applications include: (1) pollution remediation due to high CEC and specific surface area; (2) soil fertility improvement on the way of liming effect, enrichment in volatile matter and increase of pore volume, (3) carbon sequestration due to carbon and ash content, etc. Biochar properties are affected by several technological parameters, mainly pyrolysis temperature and feedstock kind, which differentiation can lead to products with a wide range of values of pH, specific surface area, pore volume, CEC, volatile matter, ash and carbon content. High pyrolysis temperature promotes the production of biochar with a strongly developed specific surface area, high porosity, pH as well as content of ash and carbon, but with low values of CEC and content of volatile matter. This is most likely due to significant degree of organic matter decomposition. Biochars produced from animal litter and solid waste feedstocks exhibit lower surface areas, carbon content, volatile matter and high CEC compared to biochars produced from crop residue and wood biomass, even at higher pyrolysis temperatures. The reason for this difference is considerable variation in lignin and cellulose content as well as in moisture content of biomass. The physicochemical properties of biochar determine application of this biomaterial as an additive to improve soil quality. This review succinctly presents the impact of pyrolysis temperature and the type of biomass on the physicochemical characteristics of biochar and its impact on soil fertility.
Nishat Tabassum, Nafisa Islam, Shoeb Ahmed
Process Biochemistry • 2021
Karthick Senthilkumar, Sumisha Anappara, Haribabu Krishnan et al.
Energy Sources Part A Recovery Utilization and Environmental Effects • 2020
This study investigates simultaneous power generation and Congo red dye degradation in a double chamber microbial fuel cell using carbon rods obtained from spent zinc-carbon (1050-D) batteries as the electrodes. Electrochemical analyzes such as cyclic voltammetry and electrochemical impedance spectroscopy confirm the feasibility of using spent carbon rods (SCR) as the electrodes. The effects of initial Congo red dye (anolyte) concentration (100–500 mg L−1) and choice of catholyte (KMnO4 and K2Cr2O7) on the performance of the microbial fuel cell were analyzed. A maximum power density of 0.90 Wm−2 was obtained for an anolyte concentration of 300 mg L−1 of Congo red dye and a catholyte concentration of 100 mg L−1 of KMnO4. Maximum chemical oxygen demand removal of 85% and color removal of 98% were obtained under optimized conditions. The obtained results show that spent carbon rods from batteries possess excellent potential as working electrodes in a microbial fuel cell.
Hongjun Ni, Kaixuan Wang, Shuaishuai Lv et al.
Energies • 2020
Microbial fuel cells (MFCs) have emerged as a sustainable technology for wastewater treatment that has potential to recycle bioelectricity from livestock wastewater. The performance of MFCs is influenced by the synergistic effect of anode material with nearby microorganisms. In this study, three identical double-chambered MFCs with different anode carbon clothes using swine wastewater are established. The optimization mechanism of MFC performance is analyzed by anode characteristics, cell performance, and microbial community, respectively. The results show that the surface structure and properties of the anode carbon cloth can be obviously improved by the acid–heat-modified treatment. The community structure of anodic biofilm, which varied with different modification methods, was mainly dominated by Proteobacteria, Firmicutes, and Bacteroidetes. These findings demonstrate efficient and simple methods for improving the performance of MFCs based on swine wastewater and may help to explore the influence mechanism of different modified anodes on the exoelectrogens.
Noureddine Touach, V.M. Ortiz-Martínez, M.J. Salar-García et al.
Separation and Purification Technology • 2016
Sara Mateo, A. Cantone, Pablo Cañizares et al.
Electrochimica Acta • 2018
Chunfeng Shao, Jiahui Hua, Qiang Li et al.
Nano Energy • 2024
Xiaoxue Mei, Heming Wang, Dianxun Hou et al.
Frontiers of Environmental Science & Engineering • 2019
Ziqi Liu, Baochao Ge, Kexun Li et al.
Fuel • 2016
Mohammad Reza Chalak Qazani, Mostafa Ghasemi, Houshyar Asadi
Fuel • 2024
• T2FNN and multi-objective PSO boost microbial fuel cell performance. • Calculates COD removal, coulombic efficiency, power output, cutting time & costs. • 18 optimal solutions found, enhancing COD removal, efficiency, power. • T2FNN debut in media optimization for MFCs signals renewable energy potential. A microbial fuel cell is a novel method for simultaneous wastewater treatment and electricity production using microorganisms as biocatalysts. This study aims to develop an efficient surrogate model to predict microbial fuel cell performance based on varying input parameters, which include glucose (1–9 g/L), yeast extract (1–5 g/L), and aeration rate (0–110 ml/min). The output parameters of interest are chemical oxygen demand (COD) removal, coulombic efficiency, and power production. A type-2 fuzzy neural network (T2FNN) is employed to train the model for accurate predictions of these outputs. In the second phase, the trained model is integrated with multi-objective particle swarm optimization (PSO) to identify the optimal Pareto front solutions that maximize COD removal, coulombic efficiency, and power output. The optimal solutions are validated experimentally, demonstrating a marginal error of 9.50 % between the predicted and observed values. Specifically, the optimized microbial fuel cell achieved a COD removal efficiency with a margin error of 7.41 %, a coulombic efficiency margin error of 18.65 %, and a power generation margin error of 2.45 %. Compared to similar studies, the proposed methodology shows significant improvements, highlighting its effectiveness in enhancing microbial fuel cell performance for bioelectricity production and wastewater treatment. On average, the optimal parameters identified using this method result in notable improvements in COD removal, coulombic efficiency, and power production compared to a full factorial experimental study.
Jian‐Chun Ma, Nan Shi, Jianfeng Jia
Electrochimica Acta • 2020
Sandeep Divyajyoti Behera, Usha Kumari, Ravi Shankar et al.
Ionics • 2018
Rehab H. Mahmoud, Farag A. Samhan, Mohamed K. Ibrahim et al.
Bioprocess and Biosystems Engineering • 2021
Giulia Massaglia, Valentina Margaria, Michele Re Fiorentin et al.
Materials Today Energy • 2020
Alessandro Iannaci, Swapnil Ingle, Carlota Domínguez et al.
Bioelectrochemistry • 2021
Nanostructured electrocatalysts for microbial fuel cell air-cathodes were obtained via use of conductive carbon blacks for the synthesis of high performing 3D conductive networks. We used two commercially available nanocarbons, Black Pearls 2000 and multiwalled carbon nanotubes, as conductive scaffolds for the synthesis of nanocomposite electrodes by combining: a hydrothermally carbonized resin, a sacrificial polymeric template, a nitrogenated organic precursor and iron centers. The resulting materials are micro-mesoporous, possess high specific surface area and display N-sites (N/C of 3-5 at%) and Fe-centers (Fe/C < 1.5at.%) at the carbon surface as evidenced from characterization methods. Voltammetry studies of oxygen reduction reaction activity were carried out at neutral pH, which is relevant to microbial fuel cell applications, and activity trends are discussed in light of catalyst morphology and composition. Tests of the electrocatalyst using microbial fuel cell devices indicate that optimization of the nanocarbon scaffold for the Pt-free carbon-based electrocatalysts results in maximum power densities that are 25% better than those of Pt/C cathodes, at a fraction of the materials costs. Therefore, the proposed Fe/N-carbon catalysts are promising and sustainable high-performance cathodic materials for microbial fuel cells.
Shiquan Guo, Jiaona Wang, Fei Chen et al.
Chemical Engineering Journal • 2023
Guangjie Liang, Xuechen Xu, Xiulai Chen et al.
Chemical Engineering Journal • 2023
Siqi Wang, Shuai Tian, Panyue Zhang et al.
Journal of Environmental Management • 2019
Cheon Ho Lee, Hongyoung Ha, Yoomin Ahn et al.
Journal of Power Sources • 2023
Jaydevsinh M. Gohil, Dimitre Karamanev
Journal of Membrane Science • 2016
Asim Ali Yaqoob, Mohamad Nasir Mohamad Ibrahim, Susana Rodríguez‐Couto et al.
Process Safety and Environmental Protection • 2021
Nasser A.M. Barakat, Shimaa Gamal, Meera Moydeen Abdulhameed et al.
International Journal of Hydrogen Energy • 2023
Fan Mo, Qixing Zhou, Qi Wang et al.
Chemical Engineering Journal • 2022
Xingguo Guo, Qiuying Wang, Ting Xu et al.
Frontiers of Environmental Science & Engineering • 2020
Fatma Bensalah, Julien Pézard, Naoufel Haddour et al.
Nanomaterials • 2021
The development of high-performance anode materials is one of the greatest challenges for the practical implementation of Microbial Fuel Cell (MFC) technology. Copper (Cu) has a much higher electrical conductivity than carbon-based materials usually used as anodes in MFCs. However, it is an unsuitable anode material, in raw state, for MFC application due to its corrosion and its toxicity to microorganisms. In this paper, we report the development of a Cu anode material coated with a corrosion-resistant composite made of Polydimethylsiloxane (PDMS) doped with carbon nanofiber (CNF). The surface modification method was optimized for improving the interfacial electron transfer of Cu anodes for use in MFCs. Characterization of CNF-PDMS composites doped at different weight ratios demonstrated that the best electrical conductivity and electrochemical properties are obtained at 8% weight ratio of CNF/PDMS mixture. Electrochemical characterization showed that the corrosion rate of Cu electrode in acidified solution decreased from (17 ± 6) × 10 3 μm y -1 to 93 ± 23 μm y -1 after CNF-PDMS coating. The performance of Cu anodes coated with different layer thicknesses of CNF-PDMS (250 µm, 500 µm, and 1000 µm), was evaluated in MFC. The highest power density of 70 ± 8 mW m -2 obtained with 500 µm CNF-PDMS was about 8-times higher and more stable than that obtained through galvanic corrosion of unmodified Cu. Consequently, the followed process improves the performance of Cu anode for MFC applications.
Niklas Teetz, Dirk Holtmann, Falk Harnisch et al.
Angewandte Chemie International Edition • 2022
The chemical industry is transitioning to more sustainable and biobased processes. One key element of this transition is coupling energy fluxes and feedstock utilization for optimizing processes, routes and efficiencies. Here, we show for the first time the coupling of the Kolbe electrolysis at the anode with a subsequent microbial conversion of the cathodically produced co-product hydrogen. Kolbe electrolysis of valeric acid yields the liquid drop-in fuel additive n-octane. Subsequently, the solvent isopropanol is produced by resting Cupriavidus necator cells using gaseous electrolysis products (esp. CO 2 and H 2 ). The resting microbial cells show carbon efficiencies of up to 41 % and Coulombic/Faradaic efficiencies of 60 % and 80 % for anodic and cathodic reactions, respectively. The implementation of a paired electrolyser resulted in superior process performances with overall efficiencies of up to 64.4 %.
Giulia Massaglia, Valentina Margaria, Adriano Sacco et al.
International Journal of Hydrogen Energy • 2018
Yuying Wang, Jiaying Ma, Huaqiang Chu et al.
Chemical Engineering Journal • 2024
Aryama Raychaudhuri, Manaswini Behera
Journal of Hazardous Toxic and Radioactive Waste • 2020
In the last couple of decades, microbial fuel cells (MFCs) have gained importance because of its ability to generate electricity from renewable and carbon-neutral energy sources, such as wastewater. The occurrence of simultaneous biological and electrochemical processes to facilitate the electron transfer mechanism increases the process complexity. Considerable experimental and modeling techniques have been carried out to identify the different processes involved and their relative effect on electricity generation to improve the performance of the MFCs for practical applications. Among the various statistical modeling approaches, the design of experiments (DoE) is used as a robust tool to determine the relationship between variables influencing the performance of the MFCs and to perform optimization of configuration and operation of the MFCs. It has several advantages over the one-factor-at-a-time (OFAT) methodology, in terms of time and resource management as well as obtaining relevant information. This review illustrates the most popular experimental designs used in MFC-related studies. It is expected that the paper will encourage researchers to incorporate this method into their experimental studies to ensure high-quality research output.
Rui Lu, Yuhua Chen, Junmei Wu et al.
Water Research • 2021
A. Al-Mamun, Olivier Lefebvre, Mahad Baawain et al.
International Journal of Environmental Science and Technology • 2016