Computer aided optimum design of rubber recipe using uniform design

Cheng, Baojia; Zhu, Na; Fan, Ruliang; Zhou, Chixing; Zhang, Guonian; Li, Wenkang; Ji, Kuijiang

doi:10.1016/s0142-9418(01)00052-6

Cited by 15 publications

(8 citation statements)

References 3 publications

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“…As a powerful statistical experimental design, UD has been successfully applied in various fields such as textile industry, pharmaceuticals, fermentation industry and others [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the amino acid composition in glutathione fermentation

Wen

Zhang

Tan

2005

Process Biochemistry

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“…As a powerful statistical experimental design, UD has been successfully applied in various fields such as textile industry, pharmaceuticals, fermentation industry and others [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the amino acid composition in glutathione fermentation

Wen

Zhang

Tan

2005

Process Biochemistry

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“…UD tables can be expressed as Un ( q m ), where U stands for the UD, n for the number of experimental trials, q for the number of levels and m for the maximum number of factors. The advantages of UD method are that the number of experiments is considerably less than that required by the known experimental‐design techniques when the number of levels of factors is large, and that it still develops usable results 12. A comparison of different experimental designs is listed in Table 3 9.…”

Section: Discussionmentioning

confidence: 99%

Optimization of polymerase chain reaction‐amplified conditions using the uniform design method

Cao

Zheng

Fang

2004

J of Chemical Tech & Biotech

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Polymerase chain reaction (PCR) is a key procedure in modern molecular biology but may be adversely affected by many factors and it is difficult to optimize reaction conditions; a technically simple and effective method to set up an optimal PCR-amplified system is required. Uniform design (UD) is a method that enables many factors to be investigated. For example, the dhaT gene from Klebsiella pneumoniae was amplified and the optimization of the amplified parameters including concentration of Mg 2+ , annealing temperature, annealing time and number of cycles based on UD was reported. After only 12 experimental trials, an optimal PCR-amplified result was obtained, demonstrating the value of UD for optimization of PCR.

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“…The advantages of the uniform design method lie in the fact that only one experiment is needed for each level of each factor and the experimental results can be dealt with easily and accurately on a computer (Liang et al. 2001; Cheng et al. 2002).…”

Section: Methodsmentioning

confidence: 99%

“…Uniform design tables can be expressed as Un(t s ), where ''U'' stands for uniform design, ''n'' for number of experimental trials, ''t'' for number of levels and ''s'' for maximum number of factors. The advantages of the uniform design method lie in the fact that only one experiment is needed for each level of each factor and the experimental results can be dealt with easily and accurately on a computer (Liang et al 2001;Cheng et al 2002).…”

Section: Uniform Design Methodsmentioning

confidence: 99%

Optimization of physical parameters for exo-biopolymer production in submerged mycelial cultures of two entomopathogenic fungi Paecilomyces japonica and Paecilomyces tenuipes

Sinha

Bae

et al. 2006

Lett Appl Microbiol

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Aims: In the present study, two different optimization techniques were used to determine the suitable operating parameters for exo–biopolymer production in submerged mycelial cultures of two entomopathogenic fungi Paecilomyces japonica and Paecilomyces tenuipes. Methods and Results: First, the rotating simplex method, a nonstatistical optimization technique, was employed to obtain the best combination of physical parameters (viz. pH, agitation intensity, aeration rate) for maximum exo–biopolymer production by P. japonica in a batch bioreactor. The optimal combination was determined to be a pH of 8·06, an aeration of 3 vvm, without any impeller agitation, producing a 17‐time increase in exopolymer production (34·5 g l−1) when compared with that achieved in unoptimized flask cultures. Second, the uniform design method, a statistical optimization technique, was employed to determine the best operating parameters for submerged culture of P. tenuipes. The optimal combination for mycelial growth was determined to be a pH of 4·88, an aeration of 2 vvm and an agitation of 350 rpm, while a pH of 4, an aeration of 2 vvm and an agitation of 150 rpm was best for exo–biopolymer production. Conclusions: The exo–biopolymer production in P. japonica optimized by the rotating simplex method was strikingly improved (max. 34·5 g l−1), and the exo–biopolymer production in P. tenuipes optimized by the uniform design method was also significantly increased (max. 3·4 g l−1). Significance and Impact of the Study: The successful application of these two different optimization techniques in this study implies that these methods are worthy of applying to other fermentation systems for the production of bioactive mycelial biomass and exo–biopolymers in liquid culture of higher fungi.

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Computer aided optimum design of rubber recipe using uniform design

Cited by 15 publications

References 3 publications

Optimization of the amino acid composition in glutathione fermentation

Optimization of the amino acid composition in glutathione fermentation

Optimization of polymerase chain reaction‐amplified conditions using the uniform design method

Optimization of physical parameters for exo-biopolymer production in submerged mycelial cultures of two entomopathogenic fungi Paecilomyces japonica and Paecilomyces tenuipes

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