首页> 外文期刊>Journal of the Institute of Brewing >Refining the Prediction of Potential Malt Fermentability by Including an Assessment of Limit Dextrinase Thermostability and Additional Measures of Malt Modification,Using Two Different Methods for Multivariate Model Development
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Refining the Prediction of Potential Malt Fermentability by Including an Assessment of Limit Dextrinase Thermostability and Additional Measures of Malt Modification,Using Two Different Methods for Multivariate Model Development

机译:使用包括两种不同方法的多元模型开发方法,包括评估极限糊精酶热稳定性和麦芽修饰的其他措施,完善对潜在麦芽发酵能力的预测

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Prediction of malt fermentability (apparent attenuation limit -AAL) by measurement of the diastatic power enzymes (DPE), α-amylase, total limit dextrinase, total β-amylase, β-amylase thermostability, and the Kolbach index (KI or free amino nitrogen - FAN) is superior to the conventional use of diastatic power (DP) alone. The thermostability of β-amylase is known to be an important factor in determining fermentability, thus the thermostability of the other relatively thermolabile enzyme, limit dextrinase, was investigated to determine if it was also useful in predicting fermentability. To facilitate this aim, methods were developed for a rapid and cost efficient assay of both β-amylase and limit dextrinase thermostability. Internationally important Australian and international malting varieties were compared for their total limit dextrinase and β-amylase activity and thermostability. Interestingly, the level of limit dextrinase thermostability was observed to be inversely correlated with total limit dextrinase activity. The prediction of malt fermentability was achieved by both forward step-wise multi-linear regression (MLR) and the partial least squares (PLS) multivariate model development methods. Both methods produced similar identifications of the parameters predicting wort fermentability at similar levels of predictive power. Both models were substantially better at predicting fermentability than the traditional use of DP on its own.rnThe emphasis of this study was on the identification of predictive factors that can be consistently used in models to predict fermentability, because the model parameter estimates will subtly vary depending on mashing conditions, yeast strain/fermentation conditions and malt source. The application of these multivariate model development methods (PLS and MLR) enabled the identification of further potential fermentability predicting factors. The analyses divided the predictive parameters into those defined by DP enzymes and those associated with modification (KI, FAN, fine/coarse difference, wort β-glucan and friability). Surprisingly, limit dextrinase thermostability was not a substantial predictor of fermentability, presumably due to its negative correlation with total limit dextrinase activity. The application of these insights in the malting and brewing industries is expected to result in substantial improvements in brewing consistency and enable more specific quality targets for barley breeder's progeny selection cut-off limits to be more precisely defined.
机译:麦芽发酵能力的预测(表观衰减极限-AAL)可通过测量尿酸动力酶(DPE),α-淀粉酶,总极限糊精酶,总β-淀粉酶,β-淀粉酶热稳定性和Kolbach指数(KI或游离氨基氮)来预测-FAN)优于单独使用的透声功率(DP)。已知β-淀粉酶的热稳定性是决定发酵能力的重要因素,因此研究了另一种相对不稳定的酶(极限糊精酶)的热稳定性,以确定其是否也可用于预测发酵能力。为实现此目标,开发了一种快速且经济高效的β-淀粉酶和极限糊精酶热稳定性测定方法。比较了国际上重要的澳大利亚和国际麦芽品种的总极限糊精酶和β-淀粉酶活性及热稳定性。有趣的是,极限糊精酶的热稳定性水平与总极限糊精酶活性呈反相关。麦芽发酵能力的预测是通过前向逐步多元线性回归(MLR)和偏最小二乘(PLS)多元模型开发方法实现的。两种方法都在相似的预测能力水平下对预测麦芽汁可发酵性的参数进行了相似的鉴定。这两个模型在预测可发酵性方面都比传统上单独使用DP更好。rn这项研究的重点是确定可以在模型中一致用于预测可发酵性的预测因素,因为模型参数估计会根据不同而有所不同。糖化条件,酵母菌株/发酵条件和麦芽来源。这些多变量模型开发方法(PLS和MLR)的应用使得能够确定其他潜在的发酵预测因子。分析将预测参数分为DP酶定义的参数和与修饰相关的参数(KI,FAN,细/粗差,麦芽汁β-葡聚糖和脆性)。出乎意料的是,极限糊精酶的热稳定性不是发酵能力的实质预测指标,大概是由于其与总极限糊精酶活性的负相关。这些见解在制麦和酿造行业中的应用有望大大改善酿造的一致性,并使大麦育种者的后代选择截止限的更具体的质量目标得以更精确地定义。

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