EFFECT OF OPERATING-CONDITIONS ON SOLID SUBSTRATE FERMENTATION

被引:61
作者
SARGANTANIS, J
KARIM, MN
MURPHY, VG
RYOO, D
TENGERDY, RP
机构
[1] COLORADO STATE UNIV,DEPT AGR & CHEM ENGN,FT COLLINS,CO 80521
[2] COLORADO STATE UNIV,DEPT MICROBIOL,FT COLLINS,CO 80521
关键词
SOLID SUBSTRATE FERMENTATION; EVAPORATIVE COOLING; OPTIMUM TEMPERATURE; HUMIDITY;
D O I
10.1002/bit.260420202
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In this work the effects of environmental parameters on the performance of solid substrate fermentation (SSF) for protein production are studied. These parameters are (i) air flow rate, (ii) inlet air relative humidity, (iii) inlet air temperature, and (iv) the heat transfer coefficient between the outer wall of the fermentor and the air in the incubator. The air flow is supplied to effect cooling of the fermented mass by evaporation of water. A dynamic model is developed, which permits estimation of biomass content, total dry matter, moisture content, and temperature of the fermented matter. The model includes the effects of temperature and moisture content on both the maximum specific growth rate and the maximum attainable biomass content. The results of the simulation are compared with actual experimental data and show good agreement with them. The most important conclusions are that (i) the evaporative cooling of the biomass is very effective for temperature control and (ii) the air flow rate and the heat transfer coefficient have strong effects but they affect the biomass morphology and are not controllable easily. Also, a simple technique for the determination of the optimum temperature and moisture content profile for cell protein production is applied. The simulated biomass production increases considerably employing the optimum temperature and moisture content profiles. The ultimate goal is to implement the determined effects of the environmental parameters on the SSF biomass production and the temperature and moisture variation profiles to effectively control the SSF and optimize the biomass production.
引用
收藏
页码:149 / 158
页数:10
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