基于差分进化算法的酵母培养在线自适应控制

发布时间：2018-05-26 17:29

本文选题：差分进化算法 + 自适应控制　；参考：《食品与发酵工业》2016年11期

【摘要】：酵母培养中,若碳源添加不足则会抑制菌体生长,无法达到高密度;若碳源添加过量则会引起副产物乙醇的积累,导致细胞受到毒害,并降低碳源的利用效率。为解决这一矛盾,提出了一种基于差分进化算法(differential evlolution algorithm,DE)的在线自适应底物流加策略(DE-PID)并将其用于酿酒酵母和毕赤酵母的培养过程。在酿酒酵母培养中,利用DE-PID策略对呼吸商实施定值控制,培养34 h后的细胞密度达到52.5 g-DCW/L,比传统底物流加策略(DO-Stat)下的相应值提高91%。在毕赤酵母培养过程中,采用DE-PID策略分别对溶解氧浓度(DO)和乙醇浓度实施定值控制。在这两个批次中,DO均能够被控制在稳定水平,乙醇浓度均被控制于2g/L以下,培养34 h后的细胞密度分别达到112.25和113.25 g-DCW/L。
[Abstract]:In yeast culture, if the carbon source is insufficient, the cell growth will be inhibited, and the high density can not be achieved. If the carbon source is added too much, it will lead to the accumulation of byproduct ethanol, which will lead to the cells being poisoned and reduce the carbon source utilization efficiency. To solve this problem, an online adaptive bottom logistics strategy named DE-PID-based differential evlolution algorithm (DED) was proposed and applied to the cultivation of Saccharomyces cerevisiae and Pichia pastoris. In the culture of Saccharomyces cerevisiae, the value of respiratory quotient was controlled by DE-PID strategy. The cell density reached 52.5g-DCW / L after 34 h culture, which was 91% higher than that under traditional bottom-logistics strategy (DO-Stat). In the process of Pichia pastoris cultivation, the DE-PID strategy was used to control the concentration of dissolved oxygen (DOO) and ethanol respectively. In these two batches, do could be controlled to a stable level, ethanol concentration was controlled below 2g/L, and the cell density reached 112.25 and 113.25 g DCW / L after 34 h culture, respectively.
【作者单位】：江南大学工业生物技术教育部重点实验室;江南大学轻工过程先进控制教育部重点实验室;
【基金】：国家自然科学基金(31301408) 江苏省自然科学基金青年基金(BK20150127、BK20160162)
【分类号】：TQ926

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