Pal Rajinder
Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Foods. 2023 Sep 19;12(18):3483. doi: 10.3390/foods12183483.
Emulsions form a large group of food materials. Many foods are either partly or wholly emulsions or are in the form of emulsion at some stage of the production process. A good understanding of the rheological properties of emulsions, especially their shear viscosity, is essential in the design, formulation, and processing of food emulsions. The texture and mouthfeel of food emulsions are also largely influenced by emulsion viscosity. Therefore, it is of practical importance to be able to correlate and predict emulsion viscosity as a function of droplet concentration and other relevant variables. In this article, the recent developments made in the viscosity modeling of concentrated emulsions are reviewed. The viscosity models for concentrated emulsions published in the twenty-first century are discussed, compared, and evaluated using a large body of experimental viscosity data available on emulsions. The effects of droplet size distribution and capillary number on the viscosity of concentrated emulsions are also discussed in detail. A new generalized viscosity model is developed for concentrated emulsions that includes the effect of capillary number and is accurate with small average percent relative error (within 3%).
乳状液构成了一大类食品原料。许多食品部分或全部是乳状液,或者在生产过程的某些阶段呈乳状液形式。深入了解乳状液的流变特性,尤其是其剪切粘度,对于食品乳状液的设计、配方和加工至关重要。食品乳状液的质地和口感也在很大程度上受乳状液粘度的影响。因此,能够将乳状液粘度与液滴浓度及其他相关变量关联并进行预测具有实际重要性。本文综述了浓乳状液粘度建模方面的最新进展。利用大量可得的乳状液实验粘度数据,对21世纪发表的浓乳状液粘度模型进行了讨论、比较和评估。还详细讨论了液滴尺寸分布和毛细管数对浓乳状液粘度的影响。开发了一种新的浓乳状液广义粘度模型,该模型考虑了毛细管数的影响,且平均相对误差百分比小(在3%以内)时具有较高准确性。