scholarly journals Medium optimization for biomass production of three peat moss (Sphagnum L.) species using fractional factorial design and response surface methodology

2021 ◽  
pp. 100729
Author(s):  
Melanie A. Heck ◽  
Ingrida Melková ◽  
Clemens Posten ◽  
Eva L. Decker ◽  
Ralf Reski
Keyword(s):  
Response Surface Methodology ◽  
Factorial Design ◽  
Response Surface ◽  
Biomass Production ◽  
Medium Optimization ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Peat Moss

scholarly journals Medium optimization for biomass production of three peat moss (Sphagnum L.) species using fractional factorial design and response surface methodology

2021 ◽  
Author(s):  
Melanie A Heck ◽  
Ingrida Melkova ◽  
Clemens Posten ◽  
Eva L. Decker ◽  
Ralf Reski
Keyword(s):  
Response Surface Methodology ◽  
Factorial Design ◽  
Response Surface ◽  
Large Scale ◽  
Biomass Yield ◽  
Fractional Factorial Design ◽  
Sucrose Concentration ◽  
Culture Conditions ◽  
Fractional Factorial ◽  
Peat Moss

Peat moss (Sphagnum) biomass is a promising bioresource to substitute peat in growing media with a renewable material. For sustainable production on a large scale, the productivity of Sphagnum mosses has to be increased by optimizing culture conditions. Optimization was achieved using fractional factorial design and response surface methodology based on central composite design to determine concentrations of eight factors leading to highest biomass yield. We improved a standard Sphagnum medium by reducing the concentrations of NH4NO3, KH2PO4, KCl, MgSO4, Ca(NO3)2, FeSO4 and a microelement solution up to 50 %. Together with a reduced sucrose concentration for Sphagnum fuscum, while it remained unchanged for Sphagnum palustre and Sphagnum squarrosum, moss productivities were enhanced for all tested species in shake flasks. Further upscaling to 5 L photobioreactors increased the biomass yield up to nearly 50-fold for S. fuscum, 40-fold for S. palustre and 25-fold for S. squarrosum in 24 days.

Optimization of Magnesium Separation and Extraction from Boron Slurry Using Response Surface Methodology

2011 ◽  
Vol 366 ◽  
pp. 366-369
Author(s):  
Feng Gao ◽  
Rong Fu ◽  
Ming Yang Qian ◽  
Zhu Min Wang ◽  
Xiang Zhang
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Factorial Design ◽  
Response Surface ◽  
Reaction Temperature ◽  
Fractional Factorial Design ◽  
Design Criterion ◽  
Fractional Factorial ◽  
Effective Factors

Response surface methodology was used to optimize the soaking Mg leaching ratio from the boron slurry screened by 25 fractional factorial design. Five effective factors such as H2SO4 concentrations, reaction time, reaction temperature and stir velocity were tested by using 25 fractional factorial design criterion and three effective factors H2SO4 concentrations, reaction time and reaction temperature showed significant effect(P2SO4 concentrations of 0.29mol/l, reaction time of 90 min and reaction temperature of 50°C. Three runs of additional confirmation experiments were conducted. The mixture magnesium leaching value was 58.20%.

scholarly journals Optimization of Biodiesel Production from Spent Palm Cooking Oil Using Fractional Factorial Design Combined with the Response Surface Methodology

2016 ◽  
Vol 13 (11) ◽  
pp. 1255-1263 ◽  
Author(s):  
S.M. Zakir Hossain ◽  
Nahid Sultana ◽  
Muhammad Faisal Irfan ◽  
Elamin Mohammed Ali Elkanzi ◽  
Yousuf Ahmed Mirza Al-Aali ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Factorial Design ◽  
Response Surface ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Biodiesel Production ◽  
Cooking Oil

Optimization of PES Nanocomposite Membrane Preparation Using Statistical Analysis and Experimental Design

2019 ◽  
Author(s):  
Yasin Orooji ◽  
Fatemeh Noorisafa ◽  
Nahid Imami ◽  
Amir R. Chaharmahali
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Nanocomposite Membrane ◽  
Membrane Preparation ◽  
Membrane Fabrication

<p>Using experimental design and statistical analysis (½ Fractional Factorial Design), this study investigates the effect of different parameters in the membrane fabrication on the performance of nanocomposite PES/TiO<sub>2</sub> membrane. </p>

scholarly journals Fabrication of a Silicide Thermoelectric Module Employing Fractional Factorial Design Principles

2021 ◽  
Author(s):  
Joachim S. Graff ◽  
Raphael Schuler ◽  
Xin Song ◽  
Gustavo Castillo-Hernandez ◽  
Gunstein Skomedal ◽  
...  
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Waste Heat ◽  
Thermoelectric Module ◽  
Fractional Factorial ◽  
Taguchi Methods ◽  
Dimensional Parameter ◽  
Cu Metallization ◽  
Manganese Silicide ◽  
And Performance

AbstractThermoelectric modules can be used in waste heat harvesting, sensing, and cooling applications. Here, we report on the fabrication and performance of a four-leg module based on abundant silicide materials. While previously optimized Mg2Si0.3Sn0.675Bi0.025 is used as the n-type leg, we employ a fractional factorial design based on the Taguchi methods mapping out a four-dimensional parameter space among Mnx-εMoεSi1.75−δGeδ higher manganese silicide compositions for the p-type material. The module is assembled using a scalable fabrication process, using a Cu metallization layer and a Pb-based soldering paste. The maximum power output density of 53 μW cm–2 is achieved at a hot-side temperature of 250 °C and a temperature difference of 100 °C. This low thermoelectric output is related to the high contact resistance between the thermoelectric materials and the metallic contacts, underlining the importance of improved metallization schemes for thermoelectric module assembly.

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