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UV-VIS spectroscopy for monitoring yogurt stability during storage time

机译:UV-VIS光谱仪可监测酸奶在储存期间的稳定性

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Color, texture and taste are key elements of a consumer's buying decision; thus, monitoring the stability of these features throughout the entire period of yogurt validity is fundamental for dairy product producers. Color, texture and taste deteriorations are due to changes in the physical, chemical and microbiological compositions of yogurt and they can be monitored using lab analyses (especially the microbiological ones) which are expensive and time consuming. In this study, ultraviolet-visible (UV-VIS) spectroscopy was applied as a rapid and alternative technique to traditional analytical methods, to monitor the stability of different commercial yogurt samples up to 49 days of storage at 4 degrees C. UV-VIS spectroscopy was employed with an integrating sphere for diffuse reflectance measurements and, for each yogurt, color stability during storage time was evaluated in terms of CIEL*a*b* color space values. Moreover, Partial Least Squares regression combined with Genetic Algorithms (GA-PLS) was performed for predicting the age of the yogurt samples from their UV-VIS spectra. In order to evaluate the texture and taste changes, flow curves and pH values of yogurt during storage were monitored once a week for the entire considered storage period. The UV-VIS and rheological datasets were elaborated by means of univariate and multivariate methods. It was interesting to notice that, in both datasets, the time-related information was not visible by simply comparing the profiles of signals, poorly visible in the principal component space, and clearly explained by three-way Principal Component Analysis (3-way PCA).
机译:颜色,质地和味道是消费者购买决定的关键要素。因此,在酸奶有效期的整个过程中监控这些功能的稳定性对于乳制品生产商而言至关重要。颜色,质地和味道的劣化是由于酸奶的物理,化学和微生物组成的变化所致,可以使用昂贵且耗时的实验室分析(尤其是微生物学分析)对其进行监测。在这项研究中,紫外线-可见(UV-VIS)光谱技术被用作传统分析方法的一种快速和替代技术,以监测不同商业酸奶样品在4摄氏度下最多可储存49天的稳定性。UV-VIS光谱将其与积分球一起使用以进行漫反射率测量,并且对于每种酸奶,均根据CIEL * a * b *颜色空间值评估了存储期间的颜色稳定性。此外,进行了偏最小二乘回归与遗传算法(GA-PLS)的结合,根据酸奶的UV-VIS光谱预测酸奶的年龄。为了评估质地和口味的变化,在整个考虑的贮藏期间,每周对酸奶在贮藏期间的流量曲线和pH值进行一次监测。通过单变量和多变量方法对UV-VIS和流变数据集进行了详细说明。有趣的是,在这两个数据集中,仅通过比较信号的轮廓就看不到与时间相关的信息,在主成分空间中看不到时间信息,并且通过三向主成分分析(三向PCA)清楚地解释了这一点。 )。

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