Surajbhan Sevda, Ibrahim M. Abu-Reesh

Desalination and Water Treatment • 2018

Qingyun Ping, Zhen He

Desalination and Water Treatment • 2014

Fei Zhang, Zhen He

Desalination • 2015

A.Y. Goren, H.E. Okten

Desalination • 2021

Zainab Z. Ismail, Ali J. Jaeel

Desalination and Water Treatment • 2015

Hussein M. Abdelmohsen, Abdelsalam Elawwad

Desalination and Water Treatment • 2025

Kristen S. Brastad, Zhen He

Desalination • 2013

Surajbhan Sevda, Ibrahim M. Abu-Reesh

Environmental Technology • 2019

R. Ilamathi, A. Merline Sheela

Desalination and Water Treatment • 2020

Thomas Lötzbeyer, Wolfgang Schuhmann, Hanns-Ludwig Schmidt

Sensors and Actuators B: Chemical • 1996

Xihui Guo, Wentao Zhu, Gang Peng et al.

Environmental Research • 2025

This study developed a pyrite-filled three-dimensional biofilm electrode reactor (P3DBER) to treat nitrate wastewater with a low carbon/nitrogen ratio. Meanwhile, the joint effect of current intensity (CI) and hydraulic retention time (HRT) on the performance of the P3DBER was investigated. Results indicated that under the optimal conditions (CI = 30 mA, HRT = 4.9 h), the total inorganic nitrogen removal efficiency (TINRE) reached a maximum of 93.5 ± 1.4%, with a low electrical consumption of 0.075 kW h/g TIN. Increasing CI under different HRTs significantly enhanced the nitrogen removal capacity of the P3DBER. However, at high CI (30 mA), prolonging HRT did not further improve the nitrogen removal efficiency. The introduction of pyrite not only increased the types of electron donors but also could effectively maintain the stability of pH in the P3DBER. Variation partitioning analysis (VPA) showed that CI had a greater impact on the microbial community/functional genes than HRT. In addition, network analysis demonstrated a strong interconnection among microorganisms/functional genes within the P3DBER. This study offers valuable information for optimizing the operating parameters of the P3DBER.

Kyoung-Yeol Kim, Bruce E. Logan

International Journal of Hydrogen Energy • 2019

Jack R. Ambler, Bruce E. Logan

International Journal of Hydrogen Energy • 2011

Nivedhan K .

International Journal of Research in Engineering and Technology • 2014

AKM Khabirul Islam

International Journal of Hydrogen Energy • 2024

Ryan C. Tice, Younggy Kim

International Journal of Hydrogen Energy • 2014

Abhijeet P. Borole, Jonathan R. Mielenz

International Journal of Hydrogen Energy • 2011

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International Journal of Scientific and Technological Research • 2019

Young H. Park, Edward Park, Geoffrey Smith

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects • 2023

Lin Liu, Seokheun Choi

Journal of Power Sources • 2017

Babu Indira Bijimol, Chanassery Vinayababu Geethanjali, Sheik Muhammadhu Aboobakar Shibli

Sustainable Energy Technologies and Assessments • 2025

Svitlana Нnatush, Olha Maslovska, Tetyana Sehin et al.

Ecological Questions • 2019

Yang Gao, Jihyun Ryu, Lin Liu et al.

Biosensors and Bioelectronics • 2020

Yong Xiao, Geng Chen, Zheng Chen et al.

Biosensors and Bioelectronics • 2021

Fatima-Zahra Ait-Itto, James A. Behan, Mathieu Martinez et al.

Bioelectrochemistry • 2024

Yu Lu, Li Liu, Shaosong Wu et al.

AMB Express • 2019

Asmita Genge, Ranjana Khade,

International Journal of Trend in Scientific Research and Development • 2019

Qusay Jaffer, K. GHANAPRIYA

Journal of Engineering • 2023

The aim of research is to show the effect of Ferric Oxide (Fe2O3) on the electricity production and wastewater treatment, since 2.5% of Ferric Oxide (Fe2O3) (heated and non heated) nanoparticles has been used. Characterization of nanoparticles was done using X-ray Diffraction (XRD) and Scan Electron Microscopy (SEM). The influence of acidity was also studied on both wastewater treatmenton the Chemical Oxygen demand (COD) and Biological Oxygen Demand (BOD) and voltage output was studied. From the results, it was infused that the dosage of 0.025 g/l and an initial pH 7 were founded to be optimum for the effective degradation of effluents. The results concluded that the treatment of anaerobic sludge wastewater using Ferric Oxide (Fe2O3) in combination with microbialmfuel cell technology is an efficient method for the treatment of anaerobic sludge wastewater.

Ranjit Gurav, Shashi Kant Bhatia, Tae-Rim Choi et al.

Bioelectrochemistry (Amsterdam, Netherlands) • 2018

Incessant depletion of non-renewable energy sources has gained attention to search for new biological systems to transform organic biomass into electricity using microbial fuel cell (MFC). The main approach of the existing study was to develop a single step process to produce electrical energy from underutilized chitin biomass. Halophilic bacterium Bacillus circulans BBL03 isolated from anodic biofilm showed higher electricity production (26.508 μAcm2) in a natural seawater medium fed with 1.0% chitin. Maximum chitinase activity (94.24 ± 4.2 U mL-1) and N-acetylglucosamine (GlcNAc) production (136.30 ± 2.8 mg g-1 chitin) were achieved at 48 h. Prominent metabolites detected in chitin hydrolysis were lactate, formate, acetate, propionate, and butyrate. Furthermore, cyclic voltammetry (CV) studies revealed the possibility of direct electron transfer by anodic biofilm to anode without any external redox mediators. Polarization and coulombic efficiency (CE) analysis showed maximum power density (PD) 1.742 mWcm2 and 47% CE using 1% chitin as a substrate. Alteration in crystallinity and functional group on chitin were analysed using FTIR and XRD. Therefore, natural seawater-chitin powered MFCs could be a cheap asset for longer electricity production.

Erhan ÖZKAN

International Journal of 3D Printing Technologies and Digital Industry • 2023

In this article, details for the increasing properties with the help of 3D printer assisted technique of a material produced by classical sand mould casting method through a technological transformation were presented. At the same time, digital transformation studies were included with the development of online data monitoring systems in mass production. After the design studies were carried out with Solidworks, design verification research with computational fluid dynamics (CFD) and finite element analysis (FEA) have been realized. Solidification, filling-time-temperature analyses, and casting simulation studies of micro and macro shrinkage were carried out using the Anycasting simulation program. Then the intensive use of simulation techniques, the activities that would increase the quality of the product with 3D printers were detailed. The microstructure investigation, chemical analyses, and mechanical tests were performed to prove the positive effect of the 3D printing system. Surface morphology determination results showed that the better outcomes have been obtained from the 3D printing reinforced system. Finally, a unique data monitoring system that could communicate with production equipment for the first time in our country without the need for any external software and license, within the scope of digital industrialization system were explained. With the commissioning of the 3D system, 44.2% increase in efficiency and 33% improvement in quality rates were achieved. The biggest advantage of this system is that the total amount of energy consumed was reduced from 197 mJ to 81 mJ.

Erman ZURNACI

International Journal of 3D Printing Technologies and Digital Industry • 2023

Fused Deposition Modelling (FDM), one of the most widely used methods of Additive Manufacturing Technique known as 3D Printing, is a popular technique used to produce different engineering components using common engineering polymers. PLA filament, a synthetic polymer derived from corn starch, is generally used in production with the FDM. Although PLA material is recyclable and biodegradable, its carbon emission is not zero. One of the filament types developed to produce more sustainable products is Wood PLA filament materials. This study presents an experimental study examining the effect of printing parameters on the mechanical properties of components produced with Wood PLA filaments. The effects of the printing parameters determined as infill pattern, infill density and nozzle temperature on the mechanical strength parameter determined as tensile strength and bending strength of PLA Wood samples produced in standard sizes were investigated experimentally. The experimental design was carried out in accordance with the Taguchi L9 orthogonal array, and the relationship between the printing parameters and the mechanical strength parameters was modelled mathematically. The estimated strength values calculated using mathematical models were compared with the experimental test results. The results showed that the tensile strength and flexural strength values were directly proportional to the infill density. Experiments have shown that the most effective 3D printing parameter on the mechanical strength parameters is the infill density parameter with a contribution ratio of 63.09% for tensile strength and 73.83% for flexural strength.

Oliver Grimaldo Ruiz, Yasin Dhaher

3D Printing in Medicine • 2021

Abstract Objective This study reports on a new method for the development of multi-color and multi-material realistic Knee Joint anatomical models with unique features. In particular, the design of a fibers matrix structure that mimics the soft tissue anatomy. Methods Various Computer-Aided Design (CAD) systems and the PolyJet 3D printing were used in the fabrication of three anatomical models wherein fibers matrix structure is mimicked: (i) Anterior cruciate ligament reconstruction (ACL-R) model used in the previous study. (ii) ACL-R model, incorporating orientations, directions, locations, and dimensions of the tunnels, as well as a custom-made surgical guide (SG) for avoiding graft tunnel length mismatch. (iii) Total knee arthroplasty (TKA) model, including custom-made implants. Before models 3D printing, uni-axial tensile tests were conducted to obtain the mechanical behaviors for individual No. 1 (A60-A50), No. 2 (A50-A50), No. 3 (A50-A40), and No. 4 (A70-A60) soft tissue-mimicking polymers. Each material combination represents different shore-hardness values between fiber and matrix respectively. Results We correlated the pattern of stress-strain curves in the elastic region, stiffness, and elastic modulus of proposed combinations with published literature. Accordingly, material combinations No. 1 and No. 4 with elastic modules of 0.76-1.82 MPa were chosen for the soft tissues 3D printing. Finally, 3D printing Knee Joint models were tested manually simulating 50 flexo-extension cycles without presenting ruptures. Conclusion The proposed anatomical models offer a diverse range of applications. These may be considered as an alternative to replacing cadaver specimens for medical training, pre-operative planning, research and education purposes, and predictive models validation. The soft tissue anatomy-mimicking materials are strong enough to withstand the stretching during the flexo-extension. The methodology reported for the design of the fiber-matrix structure might be considered as a start to develop new patterns and typologies that may mimic soft tissues.

Bengi Yilmaz, Bilge Yilmaz Kara

3D Printing in Medicine • 2022

Abstract Background Three-dimensional (3D) printing is a method applied to build a 3D object of any shape from a digital model, and it provides crucial advantages especially for transferring patient-specific designs to clinical settings. The main purpose of this study is to introduce the newly designed complex airway stent models that are created through mathematical functions and manufactured with 3D printing for implementation in real life. Methods A mathematical modeling software (MathMod) was used to design five different airway stents. The highly porous structures with designated scales were fabricated by utilizing a stereolithography-based 3D printing technology. The fine details in the microstructure of 3D printed parts were observed by a scanning electron microscope (SEM). The mechanical properties of airway stents with various designs and porosity were compared by compression test. Results The outputs of the mathematical modeling software were successfully converted into 3D printable files and airway stents with a porosity of more than 85% were 3D printed. SEM images revealed the layered topography of high-resolution 3D printed parts. Compression tests have shown that the mathematical function-based design offers the opportunity to adjust the mechanical strength of airway stents without changing the material or manufacturing method. Conclusions A novel approach, which includes mathematical function-based design and 3D printing technology, is proposed in this study for the fabrication of airway stents as a promising tool for future treatments of central airway pathologies.

Asia Saad, Hiram Ndiritu, Meshack Hawi

Journal of Advance Research in Electrical & Electronics Engineering (ISSN 2208-2395) • 2025

This study aims to reveal firm size and leverage on tax avoidance in the Consumer Goods Industry Sector Companies Listed on the Indonesia Stock Exchange in 2016-2018. The method used in this study is explanatory. This research was conducted on data in the form of financial statements. To analyze the research data, multiple linear regression analysis was used. Based on the results of multiple linear regression analysis, it shows that firm size has no influence on tax avoidance in the Consumer Goods Industry Sector Companies Listed on the Indonesia Stock Exchange in 2016-2018. Leverage influence tax avoidance in the Consumer Goods Industry Sector Companies Listed on the Indonesia Stock Exchange in 2016-2018

Amogh Gyaneshwar, Senthil Kumaran Selvaraj, Turusha Ghimire et al.

Engineering Research Express • 2022

Abstract Tomorrow is a technology for Microbial fuel cells (MFC). It has attracted numerous studies for the continuous development of cell efficiency since the problem of the coming era can be resolved. Implementing artificial learning and machine learning is a change that can effectively achieve the goals. A microbial fuel cell is a complex non-linear procedure that preferably requires a strategy that is not a linear control strategy for the most favorable outcome. The practical and feasible ways to tackle non-linearity existing in the Microbial Fuel Cell, instead of making a computationally tedious and heavy non-linear control strategy a superior single linear model or scheduling or multiple model-oriented control techniques. Machine learning and Artificial Intelligence help reduce computation and model costs. It saves time and is more efficient than previously used manual methods, which are now obsolete. In order to find the most accurate results, the study would compare all currently available research efforts and focus on implementing Artificial Intelligence and Machine learning concepts within the Microbial Fuel Cell and comparison with other fuel cells.

Hanatsu Nagano, Maria Prokofieva, Clement Ogugua Asogwa et al.

Applied Sciences • 2024

Tripping is the largest cause of falls, and low swing foot ground clearance during the mid-swing phase, particularly at the critical gait event known as Minimum Foot Clearance (MFC), is the major risk factor for tripping-related falls. Intervention strategies to increase MFC height can be effective if applied in real-time based on feed-forward prediction. The current study investigated the capability of machine learning models to classify the MFC into various categories using toe-off kinematics data. Specifically, three MFC sub-categories (less than 1.5 cm, between 1.5 and 2.0 cm, and higher than 2.0 cm) were predicted to apply machine learning approaches. A total of 18,490 swing phase gait cycles’ data were extracted from six healthy young adults, each walking for 5 min at a constant speed of 4 km/h on a motorized treadmill. K-Nearest Neighbor (KNN), Random Forest, and XGBoost were utilized for prediction based on the data from toe-off for five consecutive frames (0.025 s duration). Foot kinematics data were obtained from an inertial measurement unit attached to the mid-foot, recording tri-axial linear accelerations and angular velocities of the local coordinate. KNN, Random Forest, and XGBoost achieved 84%, 86%, and 75% accuracy, respectively, in classifying MFC into the three sub-categories with run times of 0.39 s, 13.98 s, and 170.98 s, respectively. The KNN-based model was found to be more effective if incorporated into an active exoskeleton as the intelligent system to control MFC based on the preceding gait event, i.e., toe-off, due to its quicker computation time. The machine learning-based prediction model shows promise for the prediction of critical MFC data, indicating higher tripping risk.

Unknown Author

Jurnal Pendidikan Bitara UPSI • 2023

Green technology can be described as the use of environmental science to conserve resources and the natural environment as well as control negative impacts on human daily activities. In order to inculcate students’ interest in environmental issues, many initiatives have been taken, including the implementation of a green technology syllabus into the current Biology curriculum. Students should also have a better understanding of green technology as early as possible because this approach is very important in curbing negative human activities on earth. The purpose of this paper is to provide information related to environmental education, education for sustainable development, and a new approach of green technology, which is Microbial Fuel Cell (MFC). In line with the transformation of the Biology curriculum, MFC has the potential to be integrated into the Biology curriculum, since it is very useful to educate students and increase their interest in environmental education. This is due to environmental problems that arise globally, including climate change and global warming; but the knowledge among the community is still at a low level. Additionally, the current Biology curriculum focuses on environmental sustainability, which is connected to the implementation of green technology. Hence, MFC is one of the green technology approaches that can be used to educate students and increase their knowledge about environmental education.

Zhuolin Han

Highlights in Science, Engineering and Technology • 2022

With the development of economics, water pollution is becoming increasingly serious, and the existing sewage treatment technology has high energy consumption. Therefore, the development of low energy consumption, safe and environmental protection technology is the trend of in further. Microbial fuel cell (MFC), as an emerging comprehensive technical method for wastewater disposal, shows great application prospects. In this work, the working principle and function of different types of MFC, the application of MFC in sewage treatment field, and the shortcomings of MFC devices to be perfected in the market are discussed.

S. Jha, P. Sharma, A. Prakash

Research Journal of Biotechnology • 2023

There is global crisis due to fuel depletion and environmental pollution. The dependency on fossils for fuels is unsustainable due to its finite nature, so researchers are studying alternative sources of energy that are renewable in nature. A microbial fuel cell (MFC) is the device used to generate energy by converting chemical energy into electrical energy by the series of catalytic reactions of anaerobic microorganisms. Recently MFC are in the developing phase due to the use of biodegradable substances for fuel. Not only does it produce electricity but it has many other applications as well like wastewater treatment, biohydrogen production and biosensors. It is based on various parameters and has several configurations for the higher energy output. This review studies about MFCs history, working, types, components, designs, factors affecting the MFCs, applications and its future scope.

Bhavesh R. Patel

Journal of Electrical Systems • 2024

Microbial fuel cells (MFCs) are a promising alternative to generate electricity from wastewater. MFCs need an efficient control system to get the optimal output voltage. The present study proposes an integral backstepping controller for the two-compartment microbial fuel cell. The complex higher-order transfer function of MFC is reduced using the approximation method. The effectiveness of the proposed controller is validated in MATLAB/Simulink simulation environment. The performance of the proposed controller is compared with the classical PID controller. The proposed controller's performance outweighs the PID controller.