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Design expert version 8.0.5b

Manufactured by Stat-Ease
Sourced in United States

Design-Expert version 8.0.5b is a software product for experimental design and analysis. It provides tools for creating, running, and analyzing statistical experiments.

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4 protocols using design expert version 8.0.5b

1

Optimizing Response Surface Methodology

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The experimental data obtained from CCD procedures were analyzed by using RSM to fit the following second-order polynomial model (Eq. (1) and regression coefficients obtained.
Where X1, X2,…, Xk are the encoded independent variables affecting the response Y; β0, βi (i = 1, 2,…, k), βii (i = 1, 2,…, k) and βij (i = 1, 2,…, k) are the regression coefficients for intercept, linear, quadratic, and interaction terms, respectively; k is the number of variables.
The Design Expert version 8.0.5b (STAT-EASE Inc.) software was used for regression and graphical analysis of the experimental data. The quality of the model's fitness was evaluated using the coefficients of determination (R2) and analysis of variance (ANOVA). Response surfaces and contour plots were developed using the fitted quadratic polynomial equation.
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2

Optimization of Cordycepin Production

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Dry weight and cordycepin production are expressed as means ± SD. An analysis of variance (ANOVA) followed by Tukey's test was applied for multiple comparisons of significant analyses at P < 0.05. Statistical data analyses were performed in SPSS version 17.0 software packet. Design-Expert Version 8.0.5b software package (Stat-Ease Inc., Minneapolis, USA) was used for designing experiments as well as for regression and graphical analysis of the experimental data obtained.
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3

Optimizing Phenolic Compound Extraction

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According the single-factor experimental results, a Box-Behnken Design (BBD) with response surface methodology (RSM) was applied to further determine the optimal UAEE conditions. The levels of the three independent variables were confirmed cellulase concentration (X1, 1.5%–2.5%), ultrasonic time (X2, 20–30 min) and ultrasonic temperature (X3, 40–60 °C) related to the response yield of total phenolic content (mg Gallic acid equivalent/g dried weight). The coded and uncoded (actual) levels of the independent variables were given in Table 4. A quadratic polynomial model performed based on experimental data from CCD was explained by the following quadratic equation:
Y=A0+i=13AiXi+i=13AiiXi2+i=12j=i+13AijXiXj
where Y is response, A0 is intercept, Ai is coefficient of variable for linear, Aii is coefficient of variable for quadratic, and Aii is coefficient of variable for interaction term. Xi and Xj are independent variables.
The experimental data were analyzed using a statistical package, Design-Expert version 8.0.5b, (Stat-Ease Inc., Minneapolis, MN, USA). The adequacy of the established model and statistical significance of the regression coefficients was evaluated by the lack of fit, coefficient of determination (R2), and Fisher test value (F-value) generated from the ANOVA analysis (p < 0.05).
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4

Optimization of Antioxidant Polyphenol Extraction from Rattan Tea

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RSM was employed to optimize the extraction conditions for antioxidant polyphenols from Rattan tea. Tween-80 concentration (X1, %), ultrasonic time (X2, min), and ultrasonic temperature (X3, °C) were preferred for independent variables related to two response values of TPC and FRAC. A three-level three-variables BBD was applied in this study. The variables and their levels, with both coded and natural values are presented in Table 1. Regression analysis was performed based on experimental data from BBD and fitted to a second-order polynomial model (Equation 1).
Where Y is response, A0 is intercept, Ai is coefficient of variable for linear, Aii is coefficient of variable for quadratic and Aij is coefficient of variable for interaction term. Xi and Xj are independent variables.
The experimental data were analyzed using a statistical package, Design-Expert version 8.0.5b, (Stat-Ease Inc., Minneapolis, MN, USA). The adequacy of the model was evaluated by the lack of fit, coefficient of determination (R2), Fisher's test value (F-value) generated from the analysis of variance (ANOVA) analysis (P < 0.05).
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