Optimization of electron donors to improve CO2 fixation efficiency by a non-photosynthetic microbial community under aerobic condition using statistical experimental design

2010 ◽  
Vol 101 (18) ◽  
pp. 7062-7067 ◽  
Author(s):  
Jia-jun Hu ◽  
Lei Wang ◽  
Shi-ping Zhang ◽  
Xiao-hua Fu ◽  
Yi-quan Le
Keyword(s):  
Microbial Community ◽  
Experimental Design ◽  
Co2 Fixation ◽  
Aerobic Condition ◽  
Electron Donors ◽  
Statistical Experimental Design

Enhanced CO2 fixation by a non-photosynthetic microbial community under anaerobic conditions: Optimization of electron donors

2011 ◽  
Vol 102 (3) ◽  
pp. 3220-3226 ◽  
Author(s):  
Jia-Jun Hu ◽  
Lei Wang ◽  
Shi-Ping Zhang ◽  
Xiao-Hua Fu ◽  
Yi-Quan Le ◽  
...  
Keyword(s):  
Microbial Community ◽  
Co2 Fixation ◽  
Electron Donors ◽  
Anaerobic Conditions

scholarly journals Oxidative Power: Tools for Assessing LPMO Activity on Cellulose

Biomolecules ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1098
Author(s):  
Federica Calderaro ◽  
Loes E. Bevers ◽  
Marco A. van den Berg
Keyword(s):  
Experimental Design ◽  
Mode Of Action ◽  
Data Interpretation ◽  
Electron Donors ◽  
Cellulolytic Enzymes ◽  
Inhibiting Factors ◽  
Lytic Polysaccharide Monooxygenases ◽  
Polysaccharide Monooxygenases ◽  
Power Tools ◽  
Reliable Methods

Lytic polysaccharide monooxygenases (LPMOs) have sparked a lot of research regarding their fascinating mode-of-action. Particularly, their boosting effect on top of the well-known cellulolytic enzymes in lignocellulosic hydrolysis makes them industrially relevant targets. As more characteristics of LPMO and its key role have been elucidated, the need for fast and reliable methods to assess its activity have become clear. Several aspects such as its co-substrates, electron donors, inhibiting factors, and the inhomogeneity of lignocellulose had to be considered during experimental design and data interpretation, as they can impact and often hamper outcomes. This review provides an overview of the currently available methods to measure LPMO activity, including their potential and limitations, and it is illustrated with practical examples.

A Statistical Experimental Design to Plastein Synthesis with the Mixture of Soy Protein Isolate(SPI) Hydrolysate and Whey Protein Isolate(WPI) Hydrolysate

2011 ◽  
Vol 236-238 ◽  
pp. 2773-2779
Author(s):  
Ying Cao Xu ◽  
Zhi Biao Feng ◽  
Chun Hong Liu
Keyword(s):  
Experimental Design ◽  
Whey Protein ◽  
Soy Protein ◽  
Soy Protein Isolate ◽  
Whey Protein Isolate ◽  
Protein Isolate ◽  
Statistical Experimental Design ◽  
Operating Variables ◽  
Enzyme Substrate ◽  
Predicted Values

A statistical experimental design to plastein synthesis which was catalyzed by transglutaminase, using the mixture of soy protein isolate(SPI) hydrolysate and whey protein isolate (WPI) hydrolysate, was investigated. Enzyme/Substrate(E/S:5-25U/g), pH(5-9) and temperature (35-65°C) were selected as major operating variables. To investigate the effects of variables to yield of plastein, the statistical experiment of Box-Behnken design(BBD) and Response Surface methodology(RSM) was employed. Regression analysis showed that the experiment data accorded with the predicted values obtained from quadratic regression equation in BBD with R-Squared of 0.9866 and F-value of 102.51. The optimum results estimated by BBD were as follows: E/S(19.5U/g), pH(6.8), and temperature(50.0°C), gave a maximum plastein yield of 54%. In the present experiment, the preliminary study on plastein functions such as foaming, emulsifying, were showed that plastein had a good biological function.

Chitinase Production in Solid-State Fermentation by Enterobacter sp. NRG4 Using Statistical Experimental Design

2005 ◽  
Vol 51 (4) ◽  
pp. 222-228 ◽  
Author(s):  
Neetu Dahiya ◽  
Rupinder Tewari ◽  
Ram Prakash Tiwari ◽  
Gurinder Singh Hoondal
Keyword(s):  
Solid State ◽  
Experimental Design ◽  
Solid State Fermentation ◽  
Statistical Experimental Design ◽  
Chitinase Production

Statistical Experimental Design: BOD Tests

1971 ◽  
Vol 97 (4) ◽  
pp. 393-407
Author(s):  
Paul M. Berthouex ◽  
William G. Hunter
Keyword(s):  
Experimental Design ◽  
Statistical Experimental Design

Application of Statistical Experimental Design for Optimization of Novel α-amylase Production by Anoxybacillus Species

2013 ◽  
Vol 13 (7) ◽  
pp. 605-613 ◽  
Author(s):  
Kavitha Muniandy ◽  
Ummirul Mukminin Kahar ◽  
Chun Shiong Chong ◽  
Yen Yen Chai ◽  
Poh Hong Goh ◽  
...  
Keyword(s):  
Experimental Design ◽  
Statistical Experimental Design ◽  
Amylase Production

Effects of electron donors on the degradation of hexachlorocyclohexane and microbial community in submerged soils

2020 ◽  
Vol 20 (4) ◽  
pp. 2155-2165
Author(s):  
Yuan Zhao ◽  
Yun Zhang ◽  
Jun Wang ◽  
Jinyu Hou ◽  
Qingling Wang ◽  
...  
Keyword(s):  
Microbial Community ◽  
Electron Donors ◽  
Submerged Soils
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