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用于预测酿造大麦麦芽糖化过程中内切木聚糖酶活性和阿拉伯木聚糖浓度的数学模型。

Mathematical modeling for prediction of endo-xylanase activity and arabinoxylans concentration during mashing of barley malts for brewing.

作者信息

Li Yin, Lu Jian, Gu Guoxian, Shi Zhongping, Mao Zhonggui

机构信息

The Key Laboratory of Industrial Biotechnology, Ministry of Education, Southern Yangtze University, Wuxi 214036, PR China.

出版信息

Biotechnol Lett. 2004 May;26(10):779-85. doi: 10.1023/b:bile.0000025877.37767.00.

Abstract

A mathematical model describing the degradation of arabinoxylans by endo-xylanase during mashing process was developed. Endo-xylanase activities and arabinoxylans concentrations in laboratory scale mashing process at different temperature profiles were measured and then used for identifying the model parameters for Harrington barley malt. The modeling errors range for the final concentration of arabinoxylans in wort was -4% to +11.9%. The model developed was also used for predicting the other three different malts mashing processes in laboratory scale, and the prediction errors ranged from -9.5% to +13.6%. The model prediction accuracy for industrial scale mashing process was lower than that in laboratory scale. The simulation results showed that, a lower concentration of arabinoxylans could be achieved when maintaining the mashing-in at 45 degrees C and prolonging the mashing-in time.

摘要

建立了一个数学模型,用于描述糖化过程中内切木聚糖酶对阿拉伯木聚糖的降解。测量了实验室规模糖化过程中不同温度曲线下的内切木聚糖酶活性和阿拉伯木聚糖浓度,然后用于确定哈林顿大麦麦芽的模型参数。麦芽汁中阿拉伯木聚糖最终浓度的建模误差范围为-4%至+11.9%。所建立的模型还用于预测实验室规模下其他三种不同麦芽的糖化过程,预测误差范围为-9.5%至+13.6%。该模型对工业规模糖化过程的预测准确性低于实验室规模。模拟结果表明,在45℃保温并延长糖化时间可以降低阿拉伯木聚糖的浓度。

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