scholarly journals Simultaneous phytoremediation of Cu2+ and bioelectricity generation in a plant-microbial fuel cell assembly growing Azolla pinnata and Lemna minor

Author(s):  
K R S Pamintuan ◽  
M M D Virata ◽  
M F C Yu
2015 ◽  
Vol 36 ◽  
pp. 63-69 ◽  
Author(s):  
M.A. Moqsud ◽  
J. Yoshitake ◽  
Q.S. Bushra ◽  
M. Hyodo ◽  
K. Omine ◽  
...  

Author(s):  
Asim Ali Yaqoob ◽  
Claudia Guerrero–Barajas ◽  
Mohamad Nasir Mohamad Ibrahim ◽  
Khalid Umar ◽  
Amira Suriaty Yaakop

RSC Advances ◽  
2017 ◽  
Vol 7 (27) ◽  
pp. 16542-16552 ◽  
Author(s):  
Zhou Fang ◽  
Sichao Cheng ◽  
Hui Wang ◽  
Xian Cao ◽  
Xianning Li

Microbial fuel cells (MFCs) were embedded into constructed wetlands to form microbial fuel cell coupled constructed wetlands (CW-MFCs) and were used for simultaneous azo dye wastewater treatment and bioelectricity generation.


Author(s):  
P. Chiranjeevi ◽  
Dileep Kumar Yeruva ◽  
A. Kiran Kumar ◽  
S. Venkata Mohan ◽  
Sunita Varjani

Author(s):  
Teng Howe Cheng ◽  
Kok Boon Ching ◽  
Chessda Uttraphan ◽  
Yee Mei Heong

Plant microbial fuel cell (P-MFC) is an electrochemical reactor that converts organic compounds to electrical energy through the catalytic reaction from electrochemically active bacteria (EAB). However, there is no sign of an attempt in developing the functional model in predicting the energy conversion and utilization of P-MFC. In this study, an analytic model is proposed to show the whole production process of the organic compound to electrical energy generation. <em>Pandanus Amaryllifolius</em> plant was used as sources of photosynthate, where biomass product from rhizodeposition, acetate was produced, and soil bacteria as the microbial culture, and air as the input to the cathode chamber. The proposed analytical model is able to predict the output of the P-MFC using the parameters from the experiment. The generated data from the model was then compared with the monitored data from the <em>Pandanus Amaryllifolius </em>P-MFC. The results show the electrical power output has a high similarity pattern with the bacterial growth curve model and able to achieve the coulombic efficiency of 95.32%.


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