3
T 0 5.2 10 5.2 20 5.2 30 5.2 40 4.7 50 4.2 60 3.7 70 3.1 80 2.6 90 2 100 1.5 110 0.9 120 2.8 130 3.8 140 4.2 150 4.4 160 4.5 F'(x) 1.614 0.30809 1.92209 2.152 0.21949 2.37149 2.69 0.16089 2.85089 3.228 0.13229 3.36029 3.766 0.13369 3.89969 4.304 0.16509 4.46909 4.842 5.38 0.9752291789 c* 0.1400128812 0.0538 CL NA NA + dCL/dt KLa NA 0 20 40 60 80 100 120 0 1 2 3 4 5 6 método de g 100 110 120 13 0 1 2 3 4 5 f(x) = 0.0 − 159.76 R² = 0.999 exponenc

Excel Bioprocesos

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Page 1: Excel Bioprocesos

T0 5.2

10 5.220 5.230 5.240 4.750 4.260 3.770 3.180 2.690 2

100 1.5110 0.9120 2.8130 3.8140 4.2150 4.4160 4.5

F'(x)1.614 0.30809 1.922092.152 0.21949 2.371492.69 0.16089 2.85089

3.228 0.13229 3.360293.766 0.13369 3.899694.304 0.16509 4.469094.8425.38

0.9752291789c* 0.1400128812

0.0538

CL

NA NA + dCL/dt

KLa

NA

0 20 40 60 80 100 120 140 160 1800

1

2

3

4

5

6

método de gasificacion

método de gasificacion

100 110 120 130 140 150 160 1700

0.51

1.52

2.53

3.54

4.55

f(x) = 0.0000481481 x³ − 0.02167857 x² + 3.26268519 x − 159.764286R² = 0.999785351033617

exponencial

exponencialPolynomial (expo-nencial)

Page 2: Excel Bioprocesos

F'(x) 0,00015X^2-0,04336X+3,26269

0 20 40 60 80 100 120 140 160 1800

1

2

3

4

5

6

método de gasificacion

método de gasificacion

20 30 40 50 60 70 80 90 100 110 1200

1

2

3

4

5

6

f(x) = − 0.0538333333333333 x + 6.86833333333333R² = 0.999319923371648

regresion lineal

regresion linealLinear (regresion lineal)

100 110 120 130 140 150 160 1700

0.51

1.52

2.53

3.54

4.55

f(x) = 0.0000481481 x³ − 0.02167857 x² + 3.26268519 x − 159.764286R² = 0.999785351033617

exponencial

exponencialPolynomial (expo-nencial)

1.5 2 2.5 3 3.5 4 4.5 50

1

2

3

4

5

6

f(x) = − 1.02540170657691 x + 7.14216002085792

NA + Dcl/dt

NA + Dcl/dtLinear (NA + Dcl/dt)

Page 3: Excel Bioprocesos

1.5 2 2.5 3 3.5 4 4.5 50

1

2

3

4

5

6

f(x) = − 1.02540170657691 x + 7.14216002085792

NA + Dcl/dt

NA + Dcl/dtLinear (NA + Dcl/dt)