National Technological Centre for Food and Agriculture "Extremadura" (CTAEX), Ctra. Villafranco a Balboa km. 1.2, Villafranco del Guadiana, 06195 Badajoz, Spain.
Food Science and Nutrition, School of Agricultural Engineering, University of Extremadura, Avda. Adolfo Suárez s/n, 06071 Badajoz, Spain; University Research Institute of Agro-Food Resources (INURA), Avda. de la Investigación s/n, Campus Universitario, 06006 Badajoz, Spain.
J Dairy Sci. 2020 Oct;103(10):8808-8821. doi: 10.3168/jds.2020-18160. Epub 2020 Aug 20.
This work aimed to establish the ultrasound parameters that can be useful to classify the defects in the soft cheese Torta del Casar during ripening. During ripening by ultrasound, 1 standard and 3 defective cheese batches (anomalous microbial population, inadequate pressing curd, and excessive pressing curd) were evaluated. Ultrasound parameters related to velocity, attenuation, and frequency were calculated and correlated with the physicochemical and rheological properties of the cheeses. Ultrasound data were considered variables in linear discriminant analysis to attempt cheese classification at different periods of the ripening process. Defective soft cheeses could be discriminated from standard ones with good accuracy, mainly at the final stages of ripening. The differentiation of cheese samples from 2 of the defective cheese batches (anomalous microbial population and inadequate pressing curd) from the standard was mainly attributed to different values of the attenuation-related parameters, whereas for samples from the other defective batch (excessive pressing curd), some parameters related to velocity and frequency were responsible for such discrimination.
本工作旨在确定超声参数,以便在干酪成熟过程中对塔塔罗·德尔·卡斯尔软干酪的缺陷进行分类。在超声成熟过程中,评估了 1 批标准和 3 批缺陷奶酪(异常微生物种群、压凝乳不足和压凝乳过度)。计算了与速度、衰减和频率相关的超声参数,并将其与奶酪的理化和流变性质相关联。超声数据被视为线性判别分析中的变量,以尝试在成熟过程的不同阶段对干酪进行分类。可以用很好的准确度将有缺陷的软奶酪与标准奶酪区分开来,主要是在成熟的最后阶段。从标准奶酪中区分出 2 批有缺陷奶酪(异常微生物种群和压凝乳不足)的奶酪样品,主要归因于衰减相关参数的值不同,而对于另一批有缺陷的奶酪(压凝乳过度)的样品,一些与速度和频率相关的参数负责这种区分。