Mandrake o
9
Día Hora pH T (°C) ° Brix 1 Lunes 11:30:00 AM 5.2 24.7 23.7 2 02:00:00 PM 4.88 26.23 23.6 3 Martes 11:30:00 AM 5.20 23.80 23 4 06:10:00 PM 5.07 24.20 21.5 5 Miercoles 12:09:00 PM 5.05 23.80 20 6 Jueves 18:05:00 a.m. 6.13 24.80 15 7 Viernes 12:00:00 PM 7.03 24.50 15 Lunes 11:30 15:00 Día Hora pH T (°C) 1 Lunes 07/09 11:00:00 AM 2 02:00:00 PM 4.88 26.23 3 11:30:00 AM 5.20 23.80 4 05:00:00 PM 5 Miércoles 09/09 6 05:15:00 PM 7 Jueves 10/09 12:00:00 PM 8 02:30:00 PM 6.13 24.80 9 Viernes 11/09 09:00:00 AM a b c 0.472984 1.755514 0.053210 Model is: YA = a*exp(-exp(b-c*TA)) Dependent variable: YA Independent variables: 1 Loss function: (OBS-PRED)**2 Final value: ,167842907 Proportion of variance accounted for R2: ,639499539 R = Martes 08/09 0 1 2 3 4 5 6 7 0 20000000 40000000 60000000 80000000 100000000 120000000 Producción de Biomasa Medición Número de células
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Transcript of Mandrake o
Día Hora pH T (°C) ° Brix1 Lunes 11:30:00 AM 5.2 24.7 23.72 02:00:00 PM 4.88 26.23 23.63 Martes 11:30:00 AM 5.20 23.80 234 06:10:00 PM 5.07 24.20 21.5
5 Miercoles 12:09:00 PM 5.05 23.80 20
6 Jueves 18:05:00 a.m. 6.13 24.80 157 Viernes 12:00:00 PM 7.03 24.50 15
Lunes 11:3015:00
Día Hora pH T (°C)1 Lunes 07/09 11:00:00 AM2 02:00:00 PM 4.88 26.233 11:30:00 AM 5.20 23.804 05:00:00 PM5 Miércoles 09/096 05:15:00 PM7 Jueves 10/09 12:00:00 PM8 02:30:00 PM 6.13 24.809 Viernes 11/09 09:00:00 AM
a b c0.472984 1.755514 0.053210
Model is: YA = a*exp(-exp(b-c*TA))
Dependent variable: YA Independent variables: 1 Loss function: (OBS-PRED)**2 Final value: ,167842907 Proportion of variance accounted for R2: ,639499539 R = ,799687151
Martes 08/09
0 1 2 3 4 5 6 7 80
20000000
40000000
60000000
80000000
100000000
120000000
Producción de Biomasa
Medición
Núm
ero
de cé
lula
s
Densidad D (g/ml) X (Células) Conteos- 25000000 125 67 69 106 133- 15250000 45 62 71 69 58
0.99 35550000 137 123 152 156 1430.993048 54850000
0.868 637500000.987356 (27°C) 37450000 146 186 139 141 137
1.014166 105600000 380 470 418 428 416
25900000 94 85 96 128 11519400000 68 59 70 102 89
° Brix Densidad destilado-
23.6 - t N N/No log (N/No)23.0 0.00 25000000 1 0
2.50 15250000 0.61 -0.2146701624.00 35550000 1.422 0.152899630.50 54850000 2.194 0.3412366248.00 63750000 2.55 0.40654018 14178.00 37450000 1.498 0.1755118196.00 105600000 4.224 0.62572391
FASES DE MUERTE 168 25900000 1.036 0.01535976171 19400000 0.776 -0.11013828
0 1 2 3 4 5 6 7 80
20000000
40000000
60000000
80000000
100000000
120000000
Producción de Biomasa
Medición
Núm
ero
de cé
lula
s
M o d e l : Y A = a *e xp (-e xp (b -c*T A ))
y= (,4 7 2 9 8 4 )*e xp (-e xp ((1 ,7 5 5 5 1 )-(,0 5 3 2 1 )*x))
-2 0 0 2 0 4 0 6 0 8 0 1 0 0
T A
-0 ,3
-0 ,2
-0 ,1
0 ,0
0 ,1
0 ,2
0 ,3
0 ,4
0 ,5
0 ,6
0 ,7
G4
Shyrley: 27°C
G5
Shyrley: 29°C
MANDRAKEAR
0-0.214670160.07700433
0.15289960.175511810.643452680.40654018
M o d e l : Y A = a *e xp (-e xp (b -c*T A ))
y= (,4 7 2 9 8 4 )*e xp (-e xp ((1 ,7 5 5 5 1 )-(,0 5 3 2 1 )*x))
-2 0 0 2 0 4 0 6 0 8 0 1 0 0
T A
-0 ,3
-0 ,2
-0 ,1
0 ,0
0 ,1
0 ,2
0 ,3
0 ,4
0 ,5
0 ,6
0 ,7
Dia 9/11/2015Hora 09:00:00 AM
Parametro ValorT (°C) 23.60
pH 4.85°Brix 5.10 1.02023
CUADRANTE UFC1 1035 109 103 109
13 10721 98 10725 115
Promedio 106 98 115Cel/ml 2.66E+07
Desv. Stand. 6.387CV (%) 6.003
C8
Judyth: Metodo del picnometro
JuliachoDía Jueves 10-09-15Hora 14:30Picnometro v 18.0816 gPicnometro c 43.717 gMuestra 25.6354 gDensidad 1.025416ºBrix 6.4pH 4.87Temperatura 24.6 ºC
Se hizo dilucion 10^-1
Conteo Promedio Desv. CV m.o./mLFoto 1 31 32.3333333 1.52752523 4.72430484 8083333.33Foto2 19Foto 3 34Foto 4 27 *1000/(0,004*10)Foto 5 32
No dentro de 30-300
t N N/No log (N/No)0 15250000 1 0
2.5 25000000 1.63934426 0.2146701624 35550000 2.33114754 0.36756976
30.5 37450000 2.4557377 0.3901819848 105600000 6.92459016 0.8403940778 63750000 4.18032787 0.6212103596 54850000 3.59672131 0.55590679
168 25900000 1.036 0.01535976171 19400000 0.776 -0.11013828
Model is: YA = a*exp(-exp(b-c*TA))
Dependent variable: YA Independent variables: 1 Loss function: (OBS-PRED)**2 Final value: ,099306794 Proportion of variance accounted for: ,782950029 R = ,884844636
a b c0.6572 1.80341 0.0662
λ 12.1361027umax 0.04350664TG 15.931986
M o d e l : Y A = a *e xp (-e xp (b -c*T A ))
y= (,6 5 7 2 2 3 )*e xp (-e xp ((,8 0 3 4 1 2 )-(,0 6 6 2 0 7 )*x))
C:1
C:2
C:3C:4
C:5
C:6
C:7
-2 0 0 2 0 4 0 6 0 8 0 1 0 0
T A
-0 ,1
0 ,0
0 ,1
0 ,2
0 ,3
0 ,4
0 ,5
0 ,6
0 ,7
0 ,8
0 ,9
M o d e l : Y A = a *e xp (-e xp (b -c*T A ))
y= (,6 5 7 2 2 3 )*e xp (-e xp ((,8 0 3 4 1 2 )-(,0 6 6 2 0 7 )*x))
C:1
C:2
C:3C:4
C:5
C:6
C:7
-2 0 0 2 0 4 0 6 0 8 0 1 0 0
T A
-0 ,1
0 ,0
0 ,1
0 ,2
0 ,3
0 ,4
0 ,5
0 ,6
0 ,7
0 ,8
0 ,9
