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Dairy cream response in instrumental texture evaluation processed by multivariate analysis

机译:多元分析处理的乳霜在工具质地评估中的响应

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The purpose of the present work is to highlight potentiality of chemometric interpretation of consolidated instrumental food texture evaluations. In this study, back-extrusion tests were carried out on industrial-made whipped dairy creams. Mechanical profiles were obtained from 0 up to 49 storage days and were analyzed by considering the signal as a whole using basic chemometrics tools. In order to obtain the maximum content of information related to the mechanical properties of the dairy cream samples, the texture information carried on by mechanical profiles were quantified in terms of Principal Component Analysis. A threshold in whipped creams shelf-life was identified in terms of overall textural attributes and was equal to around 28 and 35 storage days, where a relevant variation of the mechanical properties was observed. Multivariate classification furnished objective and quantitative criteria for the shelf life mapping of the product, based on mechanical signals. Multivariate statistical analysis proved to be able to handle large datasets produced by a consolidated analytical technique and consequently appeared as a promising tool for studying the entire mechanical profiles.
机译:本工作的目的是强调化学计量学解释的综合手段的食物质地评估的潜力。在这项研究中,对工业制造的鲜奶奶油进行了反向挤出测试。从0到49个存储天中获得机械轮廓,并使用基本化学计量学工具通过整体考虑信号进行分析。为了获得与乳制奶油样品的机械性能有关的信息的最大含量,根据主成分分析对通过机械轮廓进行的质地信息进行了定量。根据总体质地属性确定了生奶油的保存期限的阈值,其等于约28和35天的储存天数,其中观察到机械性能的相关变化。基于机械信号,多元分类为产品的货架期映射提供了客观和定量的标准。事实证明,多元统计分析能够处理由合并分析技术产生的大型数据集,因此,它是研究整个机械轮廓的有前途的工具。

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