scholarly journals Co-metabolism kinetics and electrogenesis change during cyanide degradation in a microbial fuel cell

RSC Advances ◽  
2018 ◽  
Vol 8 (70) ◽  
pp. 40407-40416 ◽  
Author(s):  
Hao Wu ◽  
Ya-li Feng ◽  
Hao-ran Li ◽  
Hong-jun Wang ◽  
Jun-jie Wang

The co-metabolic degradation kinetics, microbial growth kinetics and electricity generation capacity were researched for strain MC-1 in a MFC.

2021 ◽  
Vol 765 (1) ◽  
pp. 012092
Author(s):  
Nurul Atiqah Shamsuddin ◽  
Muhammad Najib Ikmal Mohd Sabri ◽  
Husnul Azan Tajarudin ◽  
Noor Fazliani Shoparwe ◽  
Muaz Mohd Zaini Makhtar

2014 ◽  
Vol 60 ◽  
pp. 56-63 ◽  
Author(s):  
Guangyi Zhang ◽  
Hanmin Zhang ◽  
Yanjie Ma ◽  
Guangen Yuan ◽  
Fenglin Yang ◽  
...  

2011 ◽  
Vol 90 (3) ◽  
pp. 827-836 ◽  
Author(s):  
Abid Hussain ◽  
Serge R. Guiot ◽  
Punita Mehta ◽  
Vijaya Raghavan ◽  
Boris Tartakovsky

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1038
Author(s):  
Argyro Tsipa ◽  
Constantina K. Varnava ◽  
Paola Grenni ◽  
Vincenzo Ferrara ◽  
Andrea Pietrelli

Microbial fuel cells (MFC) are an emerging technology for waste, wastewater and polluted soil treatment. In this manuscript, pollutants that can be treated using MFC systems producing energy are presented. Furthermore, the applicability of MFC in environmental monitoring is described. Common microbial species used, release of genome sequences, and gene regulation mechanisms, are discussed. However, although scaling-up is the key to improving MFC systems, it is still a difficult challenge. Mathematical models for MFCs are used for their design, control and optimization. Such models representing the system are presented here. In such comprehensive models, microbial growth kinetic approaches are essential to designing and predicting a biosystem. The empirical and unstructured Monod and Monod-type models, which are traditionally used, are also described here. Understanding and modelling of the gene regulatory network could be a solution for enhancing knowledge and designing more efficient MFC processes, useful for scaling it up. An advanced bio-based modelling concept connecting gene regulation modelling of specific metabolic pathways to microbial growth kinetic models is presented here; it enables a more accurate prediction and estimation of substrate biodegradation, microbial growth kinetics, and necessary gene and enzyme expression. The gene and enzyme expression prediction can also be used in synthetic and systems biology for process optimization. Moreover, various MFC applications as a bioreactor and bioremediator, and in soil pollutant removal and monitoring, are explored.


RSC Advances ◽  
2017 ◽  
Vol 7 (21) ◽  
pp. 12503-12510 ◽  
Author(s):  
Xiufen Li ◽  
Yan Zheng ◽  
Pengfei Nie ◽  
Yueping Ren ◽  
Xinhua Wang ◽  
...  

In recent years, microbial fuel cell (MFC) technology has become an attractive option for metal recovery/removal at the cathode combined with electricity generation, using organic substrates as electron donor at the anode.


ACS Omega ◽  
2018 ◽  
Vol 3 (11) ◽  
pp. 15267-15271 ◽  
Author(s):  
Yuta Yoshimura ◽  
Kazunori Nakashima ◽  
Masaji Kato ◽  
Kengo Inoue ◽  
Fumiyoshi Okazaki ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document