Research Library

Discover insights from thousands of peer-reviewed papers on microbial electrochemical systems

Research Papers (23598)

Integrating operating conditions to develop a neural network for predicting organics removal and power density in an earthen microbial fuel cell treating leachate

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Biofuels • 2022

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Artificial neural network based modelling and optimization of microalgae microbial fuel cell

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International Journal of Hydrogen Energy • 2023

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Experimental and validation with neural network time series model of microbial fuel cell bio-sensor for phenol detection

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Journal of Environmental Management • 2021

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Fault Diagnosis of Microbial Fuel Cell Based on Wavelet Packet and SOM Neural Network

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2019 Chinese Control And Decision Conference (CCDC) • 2019

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Artificial neural network for modeling and prediction of selected dye removal and voltage generation from aqueous solution using microbial fuel cell

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Desalination and Water Treatment • 2022

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Bioelectricity and microbial fuel cells: principles, materials, and applications

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Artificial Intelligence in Biofuels Production • 2025

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Enhancing durability and stability of microbial fuel cells through nanomaterial engineering and artificial intelligence optimization

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Fuel • 2026

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Microbial fuel cells

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Artificial Intelligence for Renewable Energy Systems • 2021

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Photosynthetic Microbial Fuel Cell, Biophotovoltaic Cell, and Microbial Carbon‐Capture Cell

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Microbial Electrochemical Technologies • 2023

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Retraction: Chapter 1. Introduction to microbial fuel cell technology

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Microbial Fuel Cells • 2022

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Sediment microbial fuel cell (SMFCs)

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Biological Fuel Cells • 2022

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Achieving Selective Sensing in Microbial Fuel Cell Biosensors by Deep-Learning-Based Neural Networks for Detection of Tetracycline and Penicillin in Water

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2025 23rd International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers) • 2025

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Deep Sea Benthic Microbial Fuel Cell Split-Release Landers

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SSRN Electronic Journal • 2022

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Microbial Fuel Cell Configurations

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Microbial Electrochemical Technology • 2018

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Retracted: Introduction to microbial fuel cell technology

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Microbial Fuel Cells • 2022

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Microbial fuel cell coupled with anaerobic treatment processes for wastewater treatment

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Integrated Microbial Fuel Cells for Wastewater Treatment • 2019

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Experimental study of biological wastewater recovery using microbial fuel cell and application of reliability and machine learning to predict the system behavior

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Energy Conversion and Management • 2024

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Machine learning driven optimization of an innovative microbial fuel cell performance: A holistic approach integrating electrochemical, thermodynamic and biological parameters

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Energy Conversion and Management • 2026

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Pharmaceutical wastewater treatment in microbial fuel cell

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Integrated Microbial Fuel Cells for Wastewater Treatment • 2019

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Microbial Fuel Cell for the Treatment of Wastewater

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Materials Research Foundations • 2019

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Analysis of microbial community in microbial fuel cell system

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• 2020

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Microbial Fuel Cell Operating Conditions

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Materials Research Foundations • 2019

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Paper-Based Microbial Fuel Cell

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Materials Research Foundations • 2019

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Microalgae–Microbial Fuel Cell

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Materials Research Foundations • 2019

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Multiple model-based control of multi variable continuous microbial fuel cell (CMFC) using machine learning approaches

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Computers & Chemical Engineering • 2020

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"Multiscale Modeling and Forecasting of Sediment Microbial Fuel Cell Voltage Using Machine Learning, Deep Learning, and Transformer-Based Methods"

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SSRN Electronic Journal • 2024

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jkiiect.2014.7.1.036 - Electric Characteristics of the MFC according to different electrode structures

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jie.87.846 - A Study of Microbial Fuel Cell Using Wheat Bran

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Food Research International • 2017

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ijca.2013.6.6.34 - Asymmetric Temperature Load Method for Simulation Study of Wing Leading Edge in

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Utilizing a Segmented Fuel Cell to Study the Effects of Electrode Coating Irregu

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AgEcon Search (University of Minnesota, USA) • 1975

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A three-dimensional electrode bioelectrochemical system for the advanced oxidati

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Environment International • 2020

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bjnano.14.44 - Carbon nanotube-cellulose ink for rapid solvent identification

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Frontiers in Energy Research • 2021

In this work, a conductive ink based on microfibrillated cellulose (MFC) and multiwalled carbon nanotubes (MWCNTs) was used to produce transducers for rapid liquid identification. The transducers are simple resistive devices that can be easily fabricated by scalable printing techniques. We monitored the electrical response due to the interaction between a given liquid with the carbon nanotube-cellulose film over time. Using principal component analysis of the electrical response, we were able to extract robust data to differentiate between the liquids. We show that the proposed liquid sensor can classify different liquids, including organic solvents (acetone, chloroform, and different alcohols) and is also able to differentiate low concentrations of glycerin in water (10-100 ppm). We have also investigated the influence of two important properties of the liquids, namely dielectric constant and vapor pressure, on the transduction of the MFC-MWCNT sensors. These results were corroborated by independent heat flow measurements (thermogravimetric analysis). The proposed MFC-MWCNT sensor platform may help paving the way to rapid, inexpensive, and robust liquid analysis and identification.

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