scholarly journals Experimental dataset from a central composite design with two qualitative independent variables to develop high strength mortars with self-compacting properties

Data in Brief ◽  
2021 ◽  
pp. 107738
Author(s):  
Lino Maia
2014 ◽  
Vol 625 ◽  
pp. 920-923 ◽  
Author(s):  
Halifah Pagarra ◽  
Roshanida Abd Rahman ◽  
Rosli Md. Illias ◽  
Nor Azah Ramli

A central composite design was employed to optimize the extraction of pectin from Nephrolepis biserrata leaves. The independent variables were pH (1.5 to 2.5), extraction time (60 to 120 minutes) and temperature (60oC to 100oC). The combined effect of these variables on yields of pectin was investigated. The results showed that the yield of extracted pectin ranged from 3.76% to 8.50% (w/w, based on dry weight of Nephrolepis biserrata leaves). The optimum condition for the yield of pectin extraction was predicted at pH (1.5), extraction time (76.25 minutes) and temperature (100oC). Under the optimum condition, the actual pectin yield was 8.18%, which was below the predicted extraction condition of 8.316 %. The characteristics were 47.52% galacturonic acid and 83.71% degree of esterification. Keyword: Nephrolepis biserrata leaves, Extraction, Pectin, RSM, Characterization.


2020 ◽  
Vol 243 ◽  
pp. 118251 ◽  
Author(s):  
Wan Nur Firdaus Wan Hassan ◽  
Mohamed A. Ismail ◽  
Han-Seung Lee ◽  
Mohammed Seddik Meddah ◽  
Jitendra Kumar Singh ◽  
...  

Author(s):  
Robert C. Williges ◽  
Marvin L. Baron

Transfer of training from a pursuit rotor to an epicycloid pursuit rotor was assessed by means of a response surface methodology (RSM) central-composite design. Number of training trials, time between training trials, and tracking speed of the training task were combined in a three-factor, RSM central-composite design. Multiple-regression prediction equations relating these three independent variables to trials to criterion on the epicycloid pursuit rotor were calculated for both an unreplicated and replicated RSM design. A representative first-order response surface was plotted for the replicated design. The results are discussed in terms of necessary RSM central-composite design modifications and the overall applicability of using RSM in transfer of training research.


2021 ◽  
Vol 20 (02) ◽  
pp. 51-61
Author(s):  
Anh T. Vu

This study was conducted to investigate the application of cellulase enzyme in the extraction of flavonoids from Houttuynia cordata Thumb leaves and optimize the extraction conditions. Independent variables, including enzyme concentration (25 - 100 µg/mL), temperature (30 - 50oC), time (30 - 120 min) and ratio of raw materials to enzyme (1:15 - 1:30 g/mL), were investigated. Extraction conditions of flavonoids were designed according to Central Composite Design - Uniform Precision (CCD), a response surface methodology using a software JMP Pro version 13. The results indicated that the optimal extraction conditions were found to be enzyme concentration (78.0 µg/mL), temperature (41oC), time (90 min), and the ratio of material to the enzyme (1:26 g/mL). Under such conditions, the highest content of flavonoids (24.04 ± 0.05 mg/g, dry matter) was obtained and validated. It can be concluded that the flavonoids can be optimally extracted under the optimal extraction conditions with assistance of cellulase.


2012 ◽  
Vol 621 ◽  
pp. 259-262
Author(s):  
Mei Lin Cui ◽  
Guo Qing He

In this paper, yeast extract concentration, incubation days and inoculation was made as independent variables, the production of intracellular triterpenoids, intracellular polysaccharides and mycelia biomass were made as response values, we set up central composite design of three factors and three levels. Through the analysis of the regression model, we could see that when yeast extract concentration was 1.91%, the inoculation was 14.99% and the incubation days was 4.24d, the production of intracellular triterpenoids, intracellular polysaccharides and mycelia biomass was 100.654 mg/100ml, 58.5968 mg/100ml, 2.39258 g/100ml, respectively.


2009 ◽  
Vol 00 (00) ◽  
pp. 090721051030036-8
Author(s):  
Jaleh Varshosaz ◽  
Solmaz Ghaffari ◽  
Mohammad Reza Khoshayand ◽  
Fatemeh Atyabi ◽  
Shirzad Azarmi ◽  
...  

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