Massey University Campus, Palmerston North, New Zealand.
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Werribee, VIC, Australia.
J Texture Stud. 2024 Aug;55(4):e12863. doi: 10.1111/jtxs.12863.
With growing consumer demand for plant-based products that mimic the eating experience of animal-based products, there is a need for improvement in instrumental measurements of sensory texture. This study aimed to characterize textural differences between dairy and non-dairy cheeses, and to investigate whether Large Amplitude Oscillatory Shear (LAOS) rheometry could discriminate sensory texture better than Texture profile analysis. Commercial dairy and non-dairy cheddar, mozzarella, and cream cheese were selected to provide a wide range of textures. Sensory evaluation used the check-all-that-apply methodology with 73 consumers. Texture profile analysis force-distance data were analyzed empirically, and also converted to stress and strain (see https://shiny.csiro.au/texture_dash). The major textural differences between dairy and non-dairy cheddar were related to structural cohesion, according to both instrumental measures (dairy cheddar had 1.5-fold higher failure stress and 2.2-fold higher failure strain) and sensory measurements (dairy cheddar was more chewy and less crumbly). In contrast, cream cheeses showed similar textural properties using sensory testing but significant instrumental differences (non-dairy cream cheese had 5.7-fold higher modulus of deformability, 4.7-fold higher failure stress). For mozzarella, there were large differences in both sensory attributes (chewy, crumbly, jelly-like, stretchy) and instrumental parameters (13.6-fold difference in modulus, 2.7-fold difference in failure stress). LAOS rheometry gave insights into the mechanisms by which samples absorbed or dissipated mechanical energy at nonlinear strains. The LAOS parameter correlated well with sensory attributes creamy, fatty/oily, and moist, indicating the potential of this technique to measure structural phenomena linked to sensory attributes that resonate with consumers.
随着消费者对模仿动物基产品口感的植物基产品的需求不断增长,需要改进感官质地的仪器测量。本研究旨在表征乳制品和非乳制品奶酪之间的质地差异,并研究大振幅振荡剪切(LAOS)流变仪是否比质地剖面分析更能区分感官质地。选择商业乳制品和非乳制品切达干酪、马苏里拉奶酪和奶油奶酪,以提供广泛的质地。感官评估使用了 73 名消费者的全选法。对质地剖面分析力-距离数据进行了经验分析,并转换为应力和应变(见 https://shiny.csiro.au/texture_dash)。乳制品和非乳制品切达干酪之间的主要质地差异与结构内聚有关,这两种仪器测量(乳制品切达干酪的断裂应力高 1.5 倍,断裂应变高 2.2 倍)和感官测量(乳制品切达干酪更耐嚼,更不易碎)都表明了这一点。相比之下,奶油奶酪在使用感官测试时表现出相似的质地特性,但在仪器测试上存在显著差异(非乳制品奶油奶酪的变形模量高 5.7 倍,断裂应力高 4.7 倍)。对于马苏里拉奶酪,在感官属性(耐嚼、易碎、果冻状、有弹性)和仪器参数(模量差异 13.6 倍,断裂应力差异 2.7 倍)方面都存在很大差异。LAOS 流变学提供了关于样品在非线性应变下吸收或耗散机械能的机制的深入了解。LAOS 参数与感官属性“奶油状”、“油腻”和“湿润”密切相关,表明该技术有潜力测量与消费者共鸣的感官属性相关的结构现象。