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Variable pressure pulsation frequency optimization in gas double-dynamic solid-state fermentation (GDSSF) based on heat balance model

机译:基于热平衡模型的气体双动态固态发酵(GDSSF)的可变压力脉动频率优化

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摘要

Heat accumulation is considered as the main limitation of microbial growth in solid-state fermentation (SSF). Gas double-dynamic solid-state fermentation (GDSSF) has been devised based on our years of research to strengthen heat transfer by periodic air pressure pulsation and cycle flow. The pressure pulsation frequency is a key parameter which determines heat removal efficiency. In this work, heat balance model integrating pressure pulsation frequency, microbial metabolism, evaporative cooling and heat exchange with air was established. Pressure pulsation frequency was then optimized based on the heat balance model. Results indicated that the optimal pressure pulsation frequency was variable at different fermentation stages, under which the medium temperature increase extent reduced from 4.2 ℃ to 2.5 ℃ while the fermentation production (cellulase activity) increased by 9.23% than that under the conventional constant frequency. Therefore, the variable frequency was the preferred operation mode than the conventional constant one in GDSSF. The optimization method established in the present study has been proved effective and practical.
机译:热量累积被认为是固态发酵(SSF)中微生物生长的主要限制。气体双动力固态发酵(GDSSF)是基于我们多年的研究而设计的,旨在通过周期性的气压脉动和循环流来加强传热。压力脉动频率是决定排热效率的关键参数。在这项工作中,建立了整合压力脉动频率,微生物代谢,蒸发冷却和与空气进行热交换的热平衡模型。然后基于热平衡模型优化压力脉动频率。结果表明,在不同发酵阶段,最佳压力脉动频率是可变的,在此条件下,培养基的温度升高幅度从4.2℃降低至2.5℃,而发酵产量(纤维素酶活性)比常规恒定频率下提高了9.23%。因此,与GDSSF中的常规常数相比,可变频率是优选的操作模式。本研究建立的优化方法已被证明是有效和实用的。

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