hasil praktikum farmakokinetik_sudah dihitung

c(ppm) peak area c kal error10 27161 9.640446 -3.59553520 5.135911 -74.3204530 154034 30.68179 2.27263940 5.135911 -87.1602250 269033 49.75388 -0.4922360 330361 59.92487 -0.125214

hasil pengukuran sampel jam ke- peak area c kal

0.5 78862 18.21 131229 26.92 137669 28.04 209879 39.96 186159 36.08 137554 27.9

10 131503 26.912 75773 17.7

0 10 20 30 40 50 60 700

50000

100000

150000

200000

250000

300000

350000f(x) = 6029.73050847458 x − 30967.6440677966R² = 0.999552519856075

Kurva kalibrasi

peak areaLinear (peak area)

c (ppm) / konsentrasi

peak

are

a

0 10 20 30 40 50 60 700

50000

100000

150000

200000

250000

300000

350000f(x) = 6029.73050847458 x − 30967.6440677966R² = 0.999552519856075

Kurva kalibrasi

peak areaLinear (peak area)

c (ppm) / konsentrasi

peak

are

a

jam ke- volume (mL) Du (mg) Du/dt ln Du/dt T mid0.5 18.2 2000 36430 36.4 72.9 4.29 0.251 26.9 2100 56489 56.5 56.5 4.03 0.752 28.0 2250 62927 62.9 31.5 3.45 1.54 39.9 2500 99859 99.9 25.0 3.22 36 36.0 2450 88223 88.2 14.7 2.69 58 27.9 2400 67077 67.1 8.4 2.13 7

10 26.9 2300 61974 62.0 6.2 1.82 912 17.7 2200 38946 38.9 3.2 1.18 11

T mid ln Du/dt0.25 4.290.75 4.03

1.5 3.453 3.225 2.697 2.139 1.82

11 1.18

Ke= b = 0,27 / jam t1/2 = 0.693/ke = 0.693/0.27 = 2,566 jam

t interval (dt) Du (mg) du/dt ln du/dt 0.5 0.5 36.4 72.86 4.29

1 0.5 56.5 112.98 4.732 1 62.9 62.93 4.144 2 99.9 49.93 3.916 2 88.2 44.11 3.798 2 67.1 33.54 3.51

10 2 62.0 30.99 3.4312 2 38.9 19.47 2.97

T mid ln du/dt 0.25 4.290.75 4.73

1.5 4.143 3.915 3.797 3.519 3.43

11 2.97

c kal (µg/mL) Du (µg)

0 2 4 6 8 10 120.000.501.001.502.002.503.003.504.004.505.00

4.294.03

3.45 3.222.69

2.131.82

1.18

f(x) = − 0.270146561954393 x + 4.11690861630005R² = 0.977913683868663

regresi linier

ln Du/dtLinear (ln Du/dt)

t midln

Du/

dt

0 2 4 6 8 10 120.000.501.001.502.002.503.003.504.004.505.00

f(x) = − 0.130157087353997 x + 4.45640115075194R² = 0.896612820035296

ln du/dt

ln du/dt Linear (ln du/dt )

Axis Title

Axis Title

0 2 4 6 8 10 120.000.501.001.502.002.503.003.504.004.505.00

4.294.03

3.45 3.222.69

2.131.82

1.18

f(x) = − 0.270146561954393 x + 4.11690861630005R² = 0.977913683868663

regresi linier

ln Du/dtLinear (ln Du/dt)

t mid

ln D

u/dt

0 2 4 6 8 10 120.000.501.001.502.002.503.003.504.004.505.00

f(x) = − 0.130157087353997 x + 4.45640115075194R² = 0.896612820035296

ln du/dt

ln du/dt Linear (ln du/dt )

Axis Title

Axis Title

T mid ln du/dt0.25 4.090.75 3.96

1.5 3.673 3.225 2.667 2.209 1.75

11 0.61

jam ke- Du du/dt ln du/dt0.5 30 60 4.09

1 52.5 53 3.962 78.75 39 3.674 100 25 3.226 85.75 14 2.668 72 9 2.20

10 57.5 6 1.7512 22 2 0.61

ke = 0,3 / jam t1/2 = 2,31 jam

0 2 4 6 8 10 120.000.501.001.502.002.503.003.504.004.50

f(x) = − 0.299949165453205 x + 4.17593690135783R² = 0.983554622324989

Chart Title

Column BLinear (Column B)

Axis Title

Axis Title

0 2 4 6 8 10 120.000.501.001.502.002.503.003.504.004.50

f(x) = − 0.299949165453205 x + 4.17593690135783R² = 0.983554622324989

Chart Title

Column BLinear (Column B)

Axis Title

Axis Title

t du d cum d inf - d cum (ARE) ln ARE T mid0.5 36.4 36.4 476 6.16 0.251 56.5 92.9 419 6.04 0.752 62.9 155.8 356 5.88 1.54 99.9 255.7 256 5.55 36 88.2 343.9 168 5.12 58 67.1 411.0 101 4.61 7

10 62.0 473.0 39 3.66 912 38.9 511.9 0 11

T mid ln ARE 0.25 6.160.75 6.04

1.5 5.883 5.555 5.127 4.619 3.66

11

0.2672.595506

0 2 4 6 8 10 120.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

f(x) = − 0.26694044722221 x + 6.29950567268174R² = 0.974207735066502

Regresi linier

Column BLinear (Column B)

t mid

ln A

RE

0 2 4 6 8 10 120.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

f(x) = − 0.26694044722221 x + 6.29950567268174R² = 0.974207735066502

Regresi linier

Column BLinear (Column B)

t mid

ln A

RE