Multiple responses optimization of antioxidative components extracted from distiller's grains using response surface methodology and identify their chemical compositions

2021 ◽  
Author(s):  
Jie Yang ◽  
Zhenzhen Zhang ◽  
Xiaoyuan Ding ◽  
Xiaoqing Chen ◽  
Chenyang Yin ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Chemical Compositions ◽  
Multiple Responses ◽  
Distiller's Grains

scholarly journals Multiple responses optimization of instant dark tea production by submerged fermentation using response surface methodology

2018 ◽  
Vol 55 (7) ◽  
pp. 2579-2586 ◽  
Author(s):  
Yuwan Wang ◽  
Mingyue Zhang ◽  
Zhengzhu Zhang ◽  
Jun Jiang ◽  
Xueling Gao ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Submerged Fermentation ◽  
Multiple Responses ◽  
Tea Production

Optimal design of slotless-type PMLSM considering multiple responses by response surface methodology

2006 ◽  
Vol 42 (4) ◽  
pp. 1219-1222 ◽  
Author(s):  
Sung-Il Kim ◽  
Jung-Pyo Hong ◽  
Young-Kyoun Kim ◽  
Hyuk Nam ◽  
Han-Ik Cho
Keyword(s):  
Response Surface Methodology ◽  
Optimal Design ◽  
Response Surface ◽  
Multiple Responses

Multiple Responses Optimization and Modeling of Lipase Production by Rhodotorula mucilaginosa MTCC-8737 Using Response Surface Methodology

2009 ◽  
Vol 159 (2) ◽  
pp. 317-329 ◽  
Author(s):  
Subhakar Chennupati ◽  
Ravichandra Potumarthi ◽  
M. Gopal Rao ◽  
P. Lakshmi Manga ◽  
M. Sridevi ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Lipase Production ◽  
Rhodotorula Mucilaginosa ◽  
Multiple Responses

Effect of Biomass Compositions on Combustion Kinetic Parameters using Response Surface Methodology

2016 ◽  
Vol 14 (1) ◽  
pp. 517-526 ◽  
Author(s):  
Phattharanid Thanatawee ◽  
Wanwisa Rukthong ◽  
Sasithorn Sunphorka ◽  
Pornpote Piumsomboon ◽  
Benjapon Chalermsinsuwan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Biomass Composition ◽  
Biomass Combustion ◽  
Combustion Mechanism ◽  
Chemical Compositions ◽  
Combustion Behavior ◽  
Thermogravimetric Analyzer ◽  
Contour Plots ◽  
Simplex Lattice

AbstractThe aim of this research is to find the correlation between chemical compositions of biomass, including cellulose, hemicelluloses and lignin, and kinetic rates of biomass combustion. The combustion behavior of biomass constituent was studied by thermogravimetric analyzer. The correlations were generated by means of using Response Surface Methodology based on Simplex-Lattice experimental design. The results obtained from statistical analysis can be used to generate mathematical models and also contour plots which exhibited the relationship between biomass composition and its combustion kinetic. From the observation, the models and contour plots indicated the complexity of combustion mechanism. The correlations proposed by this research were expected to be potentially used to predict combustion behavior in case of real biomass.

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