Skip to main content

Table 2 Results of central composite design for ethanol concentration

From: Catalytic hydrolysis of agar using magnetic nanoparticles: optimization and characterization

Model term

Coefficient estimate

Computed t value

p Value

(a) Model coefficients, t and p value for second-order regression model for Escherichia coli K12

 Intercept (β0)

0.001986

8.73

0.000*

  Linear coefficients

   X1 (Hydrolysate concentration %)

0.000226

0.89

0.394

   X2 (Temperature ºC)

− 0.000439

− 1.73

0.115

   X3 (Time H)

0.000090

0.35

0.730

  Square coefficients

   X12 (Hydrolysate concentration % x Hydrolysate concentration %)

0.000667

1.60

0.140

   X22 (Temperature ºC x Temperature ºC)

0.000667

1.60

0.140

   X32 (Time H x Time H)

0.000217

0.52

0.613

  Interaction coefficients

   X1X2 (Hydrolysate concentration % x Temperature ºC)

0.000247

0.44

0.667

   X1X3 (Hydrolysate concentration % x Time H)

0.000672

1.20

0.256

   X2X3 (Temperature ºC x Time H)

− 0.000389

− 0.70

0.502

(b) Model coefficients, t and p value for second-order regression model for Saccharomyces cerevisiae S288c (ATCC 7754)

 Intercept (β0)

0.005606

9.93

0.000 *

  Linear coefficients

   X1 (Hydrolysate concentration %)

− 0.004829

− 7.67

0.000 *

   X2 (Temperature ºC)

− 0.004151

− 6.59

0.000 *

   X3 (Time H)

0.001417

2.25

0.048 *

  Square coefficients

   X12 (Hydrolysate concentration % x Hydrolysate concentration %)

0.00355

3.45

0.006 *

   X22 (Temperature ºC x Temperature ºC)

0.00180

1.75

0.111

   X32 (Time H x Time H)

0.00010

0.10

0.922

  Interaction coefficients

   X1X2 (Hydrolysate concentration % x Temperature ºC)

0.00315

2.27

0.046 *

   X1X3 (Hydrolysate concentration % x Time H)

− 0.00145

− 1.05

0.319

   X2X3 (Temperature ºC x Time H)

− 0.00279

− 2.02

0.071