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Frontiers of Chemical Science and Engineering

ISSN 2095-0179

ISSN 2095-0187(Online)

CN 11-5981/TQ

邮发代号 80-969

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Frontiers of Chemical Science and Engineering  2012, Vol. 6 Issue (4): 443-452   https://doi.org/10.1007/s11705-012-1225-1
  RESEARCH ARTICLE 本期目录
Optimization of cellulase production using Trichoderma reesei by RSM and comparison with genetic algorithm
Optimization of cellulase production using Trichoderma reesei by RSM and comparison with genetic algorithm
Saravanan P(), Muthuvelayudham R, Rajesh Kannan R, Viruthagiri T
Department of Chemical Engineering, Annamalai University, Annamalainagar-608002, Tamilnadu, India
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Abstract：

The potential of Trichoderma reesei for cellulase production using pineapple waste as substrate has been investigated. A maximum cellulase activity of 9.23 U/mL is obtained under the optimum experimental conditions: pH (5.5), temperature (37.5°C), initial substrate concentration (3%), inoculum concentration (6.6 × 108?CFU/mL), and culture time (6 days). Box-Behnken design (BBD) statistical tool and genetic algorithm (GA) are used to optimize the process parameters. The BBD study of linear and quadratic interactive effects of experimental variables on the desired response of cellulase activity showed that the second order polynomial is significant (R2 = 0.9414). The experimental cellulase activity under the optimal conditions identified by the BBD is 9.23 U/mL and that by GA is 6.98 U/mL. This result indicates that the BBD model gives better result than GA in the present case.
Key words： cellulase    pineapple waste    Trichoderma reesei    Box-Behnken design    genetic algorithm
收稿日期: 2012-07-16      出版日期: 2012-12-05
Corresponding Author(s): P Saravanan,Email:pancha_saravanan@yahoo.com   
 引用本文:   
. Optimization of cellulase production using Trichoderma reesei by RSM and comparison with genetic algorithm[J]. Frontiers of Chemical Science and Engineering, 2012, 6(4): 443-452.
Saravanan P, Muthuvelayudham R, Rajesh Kannan R, Viruthagiri T. Optimization of cellulase production using Trichoderma reesei by RSM and comparison with genetic algorithm. Front Chem Sci Eng, 2012, 6(4): 443-452.
 链接本文:  
https://academic.hep.com.cn/fcse/CN/10.1007/s11705-012-1225-1
https://academic.hep.com.cn/fcse/CN/Y2012/V6/I4/443
FactorsRange and Level
–10+1
pH45.57
Temperature /°C3037.545
Substrate concentration /%135
Inoculum concentration /( × 108 CFU?mL-1)2.26.611
Days159
Tab.1  
Run orderpHTemperature /°CSubstrate concentration /(%)Inoculum concentration /(CFU?mL–1)DaysCellulase activity /(U?mL–1)
ExperimentalCorrelationResidual
1100106.66.5810.019
2011005.55.3120.188
3–101007.77.3690.331
41000–15.95.8560.044
5001017.06.7880.213
600–10–16.06.363–0.362
7110006.36.0690.231
8–1–10006.47.181–0.781
9000009.19.145–0.045
1000–1–106.36.1000.200
110–10016.46.1250.275
12000–1–17.77.4000.300
13000009.239.1450.085
14000009.09.145–0.145
15100–106.26.1440.056
16000009.149.1450.255
17010015.96.137–0.237
18101004.94.7440.156
190001–15.96.038–0.137
200–10–107.67.800–0.200
21000116.76.850–0.150
22010–105.85.912–0.112
230–1–1005.95.5380.363
24001–106.87.512–0.712
25000009.149.145–0.005
2600–1106.76.5380.163
27000–117.16.8130.288
28–100–108.07.8190.181
2900–1014.95.375–0.475
300–11006.86.5500.250
31010107.06.6000.400
320010–15.95.5750.325
3310–1006.36.481–0.181
34100015.95.969–0.069
35–110005.05.294–0.294
360–100–16.66.5630.037
37–1000–16.76.4310.269
381–10005.05.256–0.256
39000009.09.145–0.145
400–10106.15.7880.313
41001105.05.750–0.750
4201–1006.05.7000.300
43–100106.26.0560.144
440100–15.05.475–0.475
45–100016.76.5440.156
46–10–1005.05.006–0.006
Tab.2  
Itema)CoefficientSE coefficientTP
Constant–44.2446.671–6.6320.000
pH5.5381.0115.4800.000
T1.7370.2197.9370.000
SC5.4660.6927.9000.000
IC–0.6140.346–1.7740.088
Days0.2140.3440.6230.539
pH × pH–0.6820.061–11.1890.000
T × T–0.0300.002–12.1000.000
SC × SC–0.4280.034–12.4650.000
IC × IC–0.0600.009–6.9980.000
Days × Days–0.0880.009–10.2780.000
pH × T0.0600.0183.3310.003
pH × SC–0.3420.068–5.0580.000
pH × IC0.0920.0342.7140.012
pH × Days0.0000.0340.0001.000
T × SC–0.0230.014–1.7270.096
T × I0.0230.0073.3310.003
T × Days0.0090.0071.3570.187
SC × IC–0.0690.025–2.7140.012
SC × Days0.0690.0252.7140.012
IC × Days0.0220.0131.7270.096
Tab.3  
SourceDFSeq SSAdj SSAdj MSFP
Regression20.00065.94265.9423.29720.0700.000
Linear5.0004.67520.0614.01224.4300.000
Square5.00048.50748.5079.70159.0600.000
Interaction10.00012.76012.7601.2767.7700.000
Residual error25.0004.1064.1060.164
Lack-of-fit20.0003.9903.9900.2008.5700.013
Pure error5.0000.1160.1160.023
Total45.00070.049
Tab.4  
Fig.1  
Fig.1  
Fig.1  
Fig.1  
Fig.1  
Fig.1  
Fig.2  
Fig.2  
Fig.2  
Fig.2  
Fig.2  
Fig.2  
Fig.3  
Fig.3  
Fig.3  
Fig.3  
Fig.3  
Fig.3  
Fig.4  
Fig.4  
Fig.4  
Fig.4  
Fig.4  
Fig.4  
Fig.5  
Fig.5  
Fig.5  
Fig.5  
Fig.5  
Fig.5  
RunpHT/°CSC /%IC × 108 /(CFU?mL-1)DaysCellulase activity /(U?mL-1)
BBD5.537.536.6059.23
GA4.1042.91.062.208.87306.98
Tab.5  
Fig.6  
Fig.6  
Fig.6  
Fig.6  
Fig.6  
Fig.6  
MicroorganismSubstrateCellulase yield /(U·mL–1)References
Trichoderma reeseiPineapple waste9.23This work
Trichoderma reeseiWhet brawn10.6[47]
Trichoderma reeseiPea peel waste3.29[48]
Trichoderma reeseiMunicipal solid waste4.38[49]
Tab.6  
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