Optimization of glucose concentration and glucose/yeast ratio in yeast microbial fuel cell using response surface methodology approach

2018 ◽  
Vol 402 ◽  
pp. 402-412 ◽  
Author(s):  
Marcelinus Christwardana ◽  
Domenico Frattini ◽  
Grazia Accardo ◽  
Sung Pil Yoon ◽  
Yongchai Kwon
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Microbial Fuel Cell ◽  
Glucose Concentration

Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology

2018 ◽  
Vol 225 ◽  
pp. 242-251 ◽  
Author(s):  
M. Amirul Islam ◽  
Huei Ruey Ong ◽  
Baranitharan Ethiraj ◽  
Chin Kui Cheng ◽  
Md Maksudur Rahman Khan
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Microbial Fuel Cell ◽  
Cell Performance ◽  
Fuel Cell Performance

scholarly journals Statistical Modeling and Performance Optimization of a Two-Chamber Microbial Fuel Cell by Response Surface Methodology

Catalysts ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1202
Author(s):  
Muhammad Nihal Naseer ◽  
Asad A. Zaidi ◽  
Hamdullah Khan ◽  
Sagar Kumar ◽  
Muhammad Taha bin Owais ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Microbial Fuel Cell ◽  
Power Density ◽  
Flow Rate ◽  
Feed Flow Rate ◽  
Acetate Concentration ◽  
Fuel Feed ◽  
Anodic Chamber

Microbial fuel cell, as a promising technology for simultaneous power production and waste treatment, has received a great deal of attention in recent years; however, generation of a relatively low power density is the main limitation towards its commercial application. This study contributes toward the optimization, in terms of maximization, of the power density of a microbial fuel cell by employing response surface methodology, coupled with central composite design. For this optimization study, the interactive effect of three independent parameters, namely (i) acetate concentration in the influent of anodic chamber; (ii) fuel feed flow rate in anodic chamber; and (iii) oxygen concentration in the influent of cathodic chamber, have been analyzed for a two-chamber microbial fuel cell, and the optimum conditions have been identified. The optimum value of power density was observed at an acetate concentration, a fuel feed flow rate, and an oxygen concentration value of 2.60 mol m−3, 0.0 m3, and 1.00 mol m−3, respectively. The results show the achievement of a power density of 3.425 W m−2, which is significant considering the available literature. Additionally, a statistical model has also been developed that correlates the three independent factors to the power density. For this model, R2, adjusted R2, and predicted R2 were 0.839, 0.807, and 0.703, respectively. The fact that there is only a 3.8% error in the actual and adjusted R2 demonstrates that the proposed model is statistically significant.

Analysis of a Fuel Cell Durability Test Using the Response Surface Methodology

2006 ◽  
Author(s):  
Bouchra Wahdame ◽  
Denis Candusso ◽  
Xavier Francois ◽  
Fabien Harel ◽  
Marie-cecile Pera ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Durability Test

scholarly journals Biodegradation of Cyanide under Alkaline Conditions by a Strain of Pseudomonas Putida Isolated from Gold Mine Soil and Optimization of Process Variables through Response Surface Methodology (RSM)

2017 ◽  
Vol 62 (3) ◽  
pp. 265-273 ◽  
Author(s):  
Mahboubeh Moradkhani ◽  
Soheila Yaghmaei ◽  
Zahra Ghobadi Nejad
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Glucose Concentration ◽  
Rrna Gene ◽  
Gold Mine ◽  
Mine Soil ◽  
Bacterial Strains ◽  
Cyanide Ion ◽  
Alkaline Conditions

In regard to highly poisonous effects of cyanide ion, concerns have been focused recently on treatment of such compounds in different ways. Four bacterial strains (C1-C4) capable of using cyanide as nitrogen source were isolated from contaminated gold mine soil samples under alkaline conditions at 30 °C, pH 9.5-10.5, and agitation speed 150 rpm. The gram-negative bacterium C3 (identified as Pseudomonas parafulva NBRC 16636(T) by 16S rRNA gene sequencing) was able to tolerate cyanide up to 500 ppm besides removing 93.5% of 200 ppm cyanide in 13 days which was confirmed by microorganisms growth. The addition of basal salts enhanced the removal efficiency of C3 by 16%. Cyanide removal efficiency of co-culture was 30% less than C3. Optimization of three significant parameters including temperature, pH, and glucose concentration for cyanide biodegradation was studied using response surface methodology (RSM). The optimum conditions for maximizing cyanide biodegradation were temperature (32.23 °C), pH (9.95), and glucose concentration (0.73 g/l).

scholarly journals Application of response surface methodology to optimize direct alcohol fuel cell power density for greener energy production

2017 ◽  
Vol 142 ◽  
pp. 1309-1320 ◽  
Author(s):  
Kanin Charoen ◽  
Chaiwat Prapainainar ◽  
Panitas Sureeyatanapas ◽  
Theeraporn Suwannaphisit ◽  
Kanchaporn Wongamornpitak ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Power Density ◽  
Energy Production ◽  
Direct Alcohol Fuel Cell ◽  
Alcohol Fuel
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