KU Leuven, Department of Microbial and Molecular Systems, Leuven Food Science and Nutrition Research Centre (LFoRCe), Laboratory of Food Chemistry and Biochemistry, Kasteelpark Arenberg 20, B-3001 Leuven, Belgium.
KU Leuven, Department of Microbial and Molecular Systems, Leuven Food Science and Nutrition Research Centre (LFoRCe), Laboratory of Food Technology, Kasteelpark Arenberg 20, B-3001 Leuven, Belgium.
Food Res Int. 2022 Jul;157:111201. doi: 10.1016/j.foodres.2022.111201. Epub 2022 Mar 31.
To obtain an efficient conversion of starch into fermentable sugars and dextrins during the brewing process, mashing time-temperature profiles need to promote starch gelatinisation and enzyme activity while avoiding thermal inactivation of the amylases. This study focused on the second part of this balance by investigating the thermal stability of α-amylase and β-amylase of Planet barley malt throughout mashing. Thermal inactivation in wort was modelled for both enzymes resulting in the estimation of thermal inactivation kinetic parameters such as rate constant of thermal inactivation k (the rate of thermal inactivation of an enzyme at a constant temperature), activation energy for thermal inactivation E, decimal reduction time D (the time needed to inactivate 90% of the enzyme activity at a given temperature) and the z-value. First-order inactivation was observed for α-amylase. For β-amylase, fractional conversion inactivation occurred with a residual fraction of 13% of the β-amylase activity that remained after prolonged heating at 72.5 °C. The β-amylase protein population hence seems to consist of thermolabile and thermostable isoforms. The kinetic parameters for thermal inactivation of the enzymes were used to predict their residual activities throughout a laboratory-scale mashing process. The predicted residual activities met the experimentally determined residual enzyme activities closely, except for β-amylase at temperatures higher than 72.5 °C. The results obtained in this work allow designing new mashing processes or tailoring existing processes towards variability in the input material, barley malt, without the need for trial-and-error experiments.
为了在酿造过程中将淀粉高效转化为可发酵糖和糊精,糖化时间-温度曲线需要促进淀粉的糊化和酶的活性,同时避免淀粉酶的热失活。本研究重点关注这一平衡的第二部分,研究了麦芽中 α-淀粉酶和β-淀粉酶在糖化过程中的热稳定性。对两种酶在麦汁中的热失活动力学进行了建模,从而估算了热失活动力学参数,如热失活速率常数 k(在恒定温度下酶的热失活速率)、热失活活化能 E、十进制减少时间 D(在给定温度下失活 90%的酶所需的时间)和 z 值。α-淀粉酶表现为一级失活动力学。β-淀粉酶则发生部分转化失活动力学,在 72.5°C 长时间加热后,β-淀粉酶活性的残余部分为 13%。因此,β-淀粉酶蛋白群体似乎由热不稳定和热稳定的同工酶组成。利用酶的热失活动力学参数预测了它们在实验室规模糖化过程中的剩余活性。预测的剩余活性与实验确定的剩余酶活性非常吻合,除了在 72.5°C 以上的温度下的β-淀粉酶。本工作的结果可以设计新的糖化工艺,或者根据输入物料(麦芽)的变化来调整现有的工艺,而无需进行反复试验。