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Neural modeling of bromelain extraction by reversed micelles

机译:反向胶束提取菠萝蛋白酶的神经模型

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A pulsed-cap microcolumn was used for bromelain extraction from pineapple juice by reversed micelles. The cationic micellar solution used BDBAC as the surfactant, isooctane as the solvent and hexanol as the co-solvent. In order to capture the dynamic behavior and the nonlinearities of the column, the operating conditions were modified in accordance with the central composite design for the experiment, using the ratio between the light phase flow rate and the total flow rate, and the time interval between pulses. The effects on the purification factor and on total protein yield were modeled via neural networks. The best topology was defined as 16-9-2, and the input layer was a moving window of the independent variables. The neural model successfully predicted both the purification factor and the total protein yield from historical data. At the optimal operating point, a purification factor of 4.96 and a productivity of 1.29 mL/min were obtained.
机译:脉冲帽微柱用于通过逆胶束从菠萝汁中提取菠萝蛋白酶。阳离子胶束溶液以BDBAC为表面活性剂,异辛烷为溶剂,己醇为助溶剂。为了捕获色谱柱的动态行为和非线性,根据光的中心流量与总流量之比以及之间的时间间隔,根据实验的中央组合设计来修改操作条件。脉冲。通过神经网络模拟对纯化因子和总蛋白产量的影响。最佳拓扑定义为16-9-2,输入层是自变量的移动窗口。该神经模型成功地根据历史数据预测了纯化因子和总蛋白产量。在最佳操作点,获得的纯化因子为4.96,生产率为1.29 mL / min。

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