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Orthonasal and retronasal detection thresholds of 26 aroma compounds in a model alcohol-free beer: Effect of threshold calculation method

机译:无酒精啤酒中26种香气化合物的鼻和鼻后检测阈值:阈值计算方法的影响

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Detection thresholds are used routinely to determine the odour-active compounds in foods. The composition of a food matrix, such as hydrophobicity or solids content, has an impact on the release of flavour compounds, and thus on thresholds. In the case of beer, thresholds determined in alcoholic beer may not be the same for alcohol-free beer (AFB). Therefore, the aim of this study was to determine detection thresholds for aroma compounds typically found in beer, within a model AFB. The model was designed to match the sugar concentration and pH of an AFB brewed by a cold contact process. Thresholds were measured using a 3-AFC procedure and calculated using either Best Estimate Threshold (BET) method or by logistic regression. Moreover, an algorithm for the removal of false positives was applied to adjust the assessors' raw responses. Retronasal thresholds were generally lower than orthonasal. Those calculated by BET were significantly higher (p 0.05) than those from logistic regression, and removal of false positives also produced significantly higher thresholds than those from raw data. The use of logistic regression has the advantage of providing the mathematical model describing the behaviour of the group. The results from this study can be used to better understand the role of flavour compounds in AFB and the effect of the calculation method to prevent under- or overestimated results.
机译:检测阈值通常用于确定食品中的气味活性化合物。食物基质的组成(例如疏水性或固体含量)会影响风味化合物的释放,从而影响阈值。对于啤酒,无酒精啤酒(AFB)中含酒精啤酒中确定的阈值可能不同。因此,本研究的目的是在AFB模型中确定通常在啤酒中发现的香气化合物的检测阈值。设计该模型以匹配通过冷接触过程冲泡的AFB的糖浓度和pH。使用3-AFC程序测量阈值,并使用最佳估计阈值(BET)方法或通过逻辑回归计算。此外,应用了消除误报的算法来调整评估者的原始响应。鼻后阈值通常低于鼻后阈值。通过BET计算得出的那些值比对数回归分析的值显着更高(p <0.05),并且假阳性的去除也产生了比原始数据更高的阈值。使用逻辑回归的优势在于提供了描述群体行为的数学模型。这项研究的结果可用于更好地了解风味化合物在AFB中的作用以及计算方法防止低估或高估结果的作用。

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