Recent Advances in the Design and Architecture of Bioelectrochemical Systems to Treat Wastewater and to Produce Choice-Based Byproducts

Noori, Md. T.; Ganta, Anusha; Tiwari, Bikash Ranjan

doi:10.1061/(asce)hz.2153-5515.0000510

Cited by 20 publications

(8 citation statements)

References 162 publications

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“…Moreover, H 2 becomes relatively more important when mixed culture bacterial consortium is used as the source of inoculum. In such a scenario, H + formation at anode via water splitting has been used in many recent studies ( Li et al., 2020 ; Jiang et al., 2020 ; Noori et al., 2020a ). However, the energy demand for water splitting reaction at plain graphite anode is high.…”

Section: Pmes: Mimicking the Natural Photosynthesis Blueprintmentioning

confidence: 99%

An insight into the bioelectrochemical photoreduction of CO2 to value-added chemicals

et al. 2021

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Summary Goal of sustainable carbon neutral economy can be achieved by designing an efficient CO 2 reduction system to generate biofuels, in particular, by mimicking the mechanism of natural photosynthesis using semiconducting nanomaterials interfaced with electroactive bacteria (EAB) in a photosynthetic microbial electrosynthesis (PMES) system. This review paper presents an overview of the recent advancements in the biohybrid photoanode and photocathode materials. We discuss the reaction mechanism observed at photoanode and photocathode to enhance our understanding on the solar driven MES. We extend the discussion by showcasing the potential activity of EABs toward high selectivity and production rates for desirable products by manipulating their genomic sequence. Additionally, the critical challenges associated in scaling up the PMES system including the strategies for diminution of reactive oxygen species, low solubility of CO 2 in the typical electrolytes, low selectivity of product species are presented along with the suggestions of alternative strategies to achieve economically viable generation of (bio)commodities.

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Section: Pmes: Mimicking the Natural Photosynthesis Blueprintmentioning

confidence: 99%

An insight into the bioelectrochemical photoreduction of CO2 to value-added chemicals

et al. 2021

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“…Membranes are also the initial condition of biofouling improvement upon the cathode exterior. Hence, antifouling layers are further fit within MFCs [187].…”

Section: Important Aspects In Bes Architecture and Designsmentioning

confidence: 99%

Recent advances in bio-electrochemical system analysis in biorefineries

Siwal

Zhang

Saini

et al. 2021

Journal of Environmental Chemical Engineering

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“…The outcomes of Design of Experiments (DoE) studies undergo rigorous analysis to pinpoint the factors that exert statistically significant influence on the response, as well as to unveil potential interdependencies among them [1]. Various tools and techniques come into play for these analyses, including the use of half-normal plots, Analyses of Variance (ANOVAs), and other methods [1,[14][15][16][17]. To illustrate the nonlinear trends in the data, contour plots and Response Surface Methodology (RSM) are often employed.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach

Shabangu,

Chetty,

Bakare

2024

Energies

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Microbial fuel cells (MFCs) have garnered significant attention due to their capacity to generate electricity using renewable and carbon-neutral energy sources such as wastewater. Extensive experimental work and modeling techniques have been employed to dissect these processes and understand their respective impacts on electricity generation. The driving force is to enhance MFC performance for practical applications commercially. Among the various statistical modeling approaches, one particularly robust tool is the Design of Experiments (DoE). It serves to establish the relationships between different variables that influence MFC performance and allows for the optimization of the MFC configuration and operation for scaled-up performances in terms of bioelectricity generation. This study focused on optimizing microbial fuel cells (MFCs) for bioelectricity production using industrial wastewater treatment, employing the Box–Behnken design (BBD) methodology. Through an analysis of response surface models and ANOVA tests, it was found that a combined approach of reduced quadratic, reduced two-factor interaction, and linear models yielded sound results, particularly in voltage yield, COD removal, and current density. Second-order regression models predicted optimal conditions for various parameters, with surface area, temperature, and catholyte dosage identified as critical input variables for optimization. Under these conditions, conducted by the four-factor and three-level Box–Behnken design methodology in a double-chamber MFC unit considering eight output variables—CCV yield, % COD removal, current density, power density, % TSS removal, % CE, and % PO43−—the optimum values were 700 mV, 54.4%, 54.4 mA/m2, 73.7 mW/m2, 99%, 21.2%, and 100%, respectively. At optimum operating conditions, the results revealed a desirability of 76.6% out of a total of 92 iterations. The paper highlights the effectiveness of statistical ANOVA fit-statistics modeling and optimization in enhancing DCMFC performance, recommending its use as a sustainable bioenergy source. Furthermore, validation results supported the above optimization output response findings and confirmed the viability of biorefinery wastewater as an anolyte for scaling up DCMFC bioelectricity generation.

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Recent Advances in the Design and Architecture of Bioelectrochemical Systems to Treat Wastewater and to Produce Choice-Based Byproducts

Cited by 20 publications

References 162 publications

An insight into the bioelectrochemical photoreduction of CO2 to value-added chemicals

An insight into the bioelectrochemical photoreduction of CO2 to value-added chemicals

Recent advances in bio-electrochemical system analysis in biorefineries

Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach

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