Department of Chemical and Bioprocess Engineering, College of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
Bioprocess Biosyst Eng. 2012 Sep;35(7):1167-78. doi: 10.1007/s00449-012-0703-7. Epub 2012 Feb 17.
Discrete oxygen additions during oenological fermentations can have beneficial effects both on yeast performance and on the resulting wine quality. However, the amount and time of the additions must be carefully chosen to avoid detrimental effects. So far, most oxygen additions are carried out empirically, since the oxygen dynamics in the fermenting must are not completely understood. To efficiently manage oxygen dosage, we developed a mass balance model of the kinetics of oxygen dissolution and biological uptake during wine fermentation on a laboratory scale. Model calibration was carried out employing a novel dynamic desorption-absorption cycle based on two optical sensors able to generate enough experimental data for the precise determination of oxygen uptake and volumetric mass transfer coefficients. A useful system for estimating the oxygen solubility in defined medium and musts was also developed and incorporated into the mass balance model. Results indicated that several factors, such as the fermentation phase, wine composition, mixing and carbon dioxide concentration, must be considered when performing oxygen addition during oenological fermentations. The present model will help develop better oxygen addition policies in wine fermentations on an industrial scale.
在葡萄酒发酵过程中进行离散的氧气添加可以对酵母性能和最终葡萄酒质量产生有益的影响。然而,添加的数量和时间必须仔细选择,以避免产生不利影响。到目前为止,大多数氧气添加都是凭经验进行的,因为发酵醪中的氧气动力学还没有完全被理解。为了有效地管理氧气剂量,我们开发了一个实验室规模葡萄酒发酵过程中氧气溶解和生物吸收动力学的质量平衡模型。通过使用基于两个光学传感器的新型动态解吸-吸收循环进行模型校准,该传感器能够生成足够的实验数据,以精确确定氧气吸收和体积传质系数。还开发了一种用于估计特定介质和发酵醪中氧气溶解度的有用系统,并将其纳入质量平衡模型。结果表明,在进行葡萄酒发酵过程中的氧气添加时,必须考虑发酵阶段、葡萄酒成分、混合和二氧化碳浓度等几个因素。本模型将有助于在工业规模的葡萄酒发酵中制定更好的氧气添加策略。