开发一种控制和预测葡萄酒中残留糖分的新方法

Ronit Yaa’ri, Eitan Schneiderman, Vicky Ben Aharon, Maria Stanevsky, E. Drori
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引用次数: 0

摘要

葡萄酒中的残留糖分(RS)是指发酵完成后残留在葡萄酒中的糖分。在某些类型的葡萄酒(如半干葡萄酒)中,准确测量 RS 的浓度对质量和立法都至关重要。用简单的折射仪测量 Brix 可以很好地估计葡萄汁中的 RS 浓度,但在发酵过程中,酒精的存在会导致糖分测量不准确。为了准确测量 RS,需要使用其他更精确的技术,但这些技术大多价格昂贵或需要专业技能。因此,多年来,人们提出了一些快速、简便、实用的新方法来估算糖分含量。不过,这些方法大多不能实际测量 RS 含量,而是给出白利糖度值,而且测量 RS 含量的方法需要使用特殊设备,对小型酿酒厂来说不太适用。本研究提出了一种预测和控制葡萄酒残糖的新模型。该模型使用的数据是发酵前葡萄汁的初始白利糖度和发酵过程中的密度。该模型是通过测量天然和合成葡萄汁发酵过程中不同程度的初始白利糖度的实际残留糖分,同时测量其密度,并将这两个测量值关联起来而建立的。在所有处理和重复(即不同的葡萄汁初始白利糖度值)中,葡萄酒的残留糖分和密度之间都有线性回归,R2 值都在 0.97 以上。利用该模型,可以(在开始发酵前)计算出在特定的初始白利糖度水平下,发酵将达到特定预期残糖值的密度值;该模型适用于本研究中使用的发酵条件,即白利糖度为 18-27 °Bx,酵母菌株(fx-33 和 fx-10)在温度和通气方面的普通发酵条件下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Novel Approach for Controlling and Predicting Residual Sugars in Wines
Residual sugars (RS) in wine are the sugars that remain in a wine after fermentation is complete. In some wine styles, such as semi-dry wines, the accurate measurement of the RS concentration is critical for both qualitative and legislative reasons. Brix, measured by a simple refractometer, can give a good estimation of the RS concentration in the must, but during fermentation, the presence of alcohol leads to inaccurate sugar measurements. In order to measure the RS accurately, other more precise techniques are used, most of which are expensive or require professional skills. Therefore, novel approaches for rapid, easy, and practical measurements for estimating the sugar content have been suggested over the years. However, most of these methods do not supply an actual measurement of RS but rather give brix values, and those that measure RS involve special equipment, which is less relevant for small wineries. This study suggests a novel model for predicting and controlling the wine’s residual sugar. The data the model uses is the initial brix of the must before fermentation and its density during fermentation. The model was created by measuring actual residual sugars during the fermentation of natural and synthetic musts, with various degrees of initial brix levels, while simultaneously measuring their densities and correlating the two measurements. Linear regression between the residual sugar of the wine and its density was obtained for all treatments and repetitions (i.e., different values of must initial brix) with R2 values above 0.97. Using the model, one can calculate (before commencing the fermentation) the density values at which the fermentation will reach a particular desired residual sugar value for a specific initial brix level; the model is applicable for the fermentation conditions used in this work, i.e., brix levels of 18–27 °Bx, Saccharomyces cerevisiae strains (fx-33 and fx-10) in common conditions of fermentation regarding temperature and aeration.
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