2.3.2. Experimental design and statistical data analysis
The rotatable central composite design was applied to identify
the influence of two variables, the applied voltage (V) and the total
solids content of the blueberry pulp (g/100 g), on the percentage of
anthocyanin degradation (response variable). The coded and
uncoded independent variables used in the experimental design
are listed in Table 1. Voltage ranges (X1) were selected based on the
limitations of the ohmic heating system, and the range of the solids
content (X2) was chosen based on the characteristics of the fruit and
the stability of the diluted suspension. To determine the influence
of the selected parameters on the response variable, experiments
were planned according to the central composite design (CCD)
using a 22 full factorial and star design with three central points, as
shown in Table 2. For the ohmic heating experiments, the error
between independent experiments was determined using the
central points of the rotatable central composite design.
Multiple linear regression analysis was performed using
STATISTICA 7.1 (Stat-Soft, Tulsa, USA). Experimental data were
fitted to the second-order polynomial model presented in Equation
(1), and regression coefficients (b’s) were obtained.
2.3.2. Experimental design and statistical data analysisThe rotatable central composite design was applied to identifythe influence of two variables, the applied voltage (V) and the totalsolids content of the blueberry pulp (g/100 g), on the percentage ofanthocyanin degradation (response variable). The coded anduncoded independent variables used in the experimental designare listed in Table 1. Voltage ranges (X1) were selected based on thelimitations of the ohmic heating system, and the range of the solidscontent (X2) was chosen based on the characteristics of the fruit andthe stability of the diluted suspension. To determine the influenceof the selected parameters on the response variable, experimentswere planned according to the central composite design (CCD)using a 22 full factorial and star design with three central points, asshown in Table 2. For the ohmic heating experiments, the errorbetween independent experiments was determined using thecentral points of the rotatable central composite design.Multiple linear regression analysis was performed usingSTATISTICA 7.1 (Stat-Soft, Tulsa, USA). Experimental data werefitted to the second-order polynomial model presented in Equation(1), and regression coefficients (b’s) were obtained.
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