首页> 外文期刊>Biochemical Engineering Journal >Approach for modelling the extract formation in a continuous conducted 'beta-amylase rest' as part of the production of beer mash with targeted sugar content
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Approach for modelling the extract formation in a continuous conducted 'beta-amylase rest' as part of the production of beer mash with targeted sugar content

机译:以连续进行“β-淀粉酶静态”中提取物形成建模的方法,作为具有靶向糖含量的啤酒醪的一部分

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摘要

Continuous mashing provides advantages compared to conventional batch-wise mashing in terms of space time yield. The majority of fermentable sugars are generated during the so-called "beta-amylase rest" (62-64 degrees C). These low molecular sugars are fermented later in the brewing process by yeasts and therefore determine the beer attenuation degree. Biological malt variations complicate the application of a continuous system in industrial scale particularly concerning targeted quality parameters. The aim is the prediction of sugar formation from process parameters for a real time control system. Therefore, a semi-empirical model for sugar formation in a continuous stirred tank reactor (CSTR) system was developed under incorporation of the residence time distribution (RTD). The here presented model, which focuses on the "beta-amylase rest", is able to predict fermentable sugar concentrations in the continuous "beta-amylase rest" with sufficient accuracy, in contrast to models that only use the flow rate and the reactor volume to determine the reaction time. However, the precision and trueness depend on the quality of the empirical data acquired previously in laboratory experiments for the selected temperature and raw material quality.
机译:与空间时间产量方面的传统批量捣碎相比,连续捣碎提供了优势。在所谓的“β-淀粉酶静态”(62-64℃)期间产生大部分可发酵的糖。这些低分子糖通过酵母以后发酵酿造过程,因此确定啤酒衰减程度。生物麦芽变化使连续系统在工业规模中的应用复杂化,特别是关于靶向质量参数。目的是从工艺参数的预测到实时控制系统的过程参数。因此,在连续搅拌釜反应器(CSTR)系统中进行半经验模型,掺入停留时间分布(RTD)。这里呈现的模型,其侧重于“β-淀粉酶静态”,能够以足够的精度预测连续的“β-淀粉酶静态”中的可发酵的糖浓度,与仅使用流速和反应堆体积的模型相反确定反应时间。然而,精度和真实性取决于先前在实验室实验中获得的经验数据的质量,用于所选温度和原料质量。

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