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首页> 外文期刊>Journal of thermal analysis and calorimetry >Investigating isothermal DSC method to distinguish between cocoa butter and cocoa butter alternatives
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Investigating isothermal DSC method to distinguish between cocoa butter and cocoa butter alternatives

机译:研究等温DSC方法以区分可可脂和可可脂替代品

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摘要

In the article thermal behaviours of cocoa butter and representatives of the 3 classes of cocoa butter alternative fats were investigated using isothermal DSC-method. Besides traditional parameters, Avrami transformation and polar qualification system (adapted from NIR-technique) were used for data evaluations. Using a new parameter, t_(max)~*, the influence of the temperature change could be avoided. This parameter gave 100% success in classification of the investigated confectionery fats (p<0.05). In comparison with traditional Avrami parameters such as n and lgk measured at different temperatures, a new parameter (t~*) gave the best result in distinguishing confectionery fats (approx. 71% correctly classified). The classification improved using lgk and n together (79%). Better classification could be achieved using polar qualification system. The percentage of correctly classified cases was 87.5% using either the point or the surface method (p<0.05). In every case there was a clear borderline between cocoa butter-CBE fat and CBR-CBS fats. Comparing Avrami method and PQS, it can be concluded that the latter is a more successful method in classification of unknown fat samples (pure cocoa butter alternative fats only). However PQS does not give any information about thermal behaviour of the sample.
机译:在本文中,使用等温DSC方法研究了可可脂和3类可可脂替代脂肪的代表的热行为。除传统参数外,Avrami变换和极地鉴定系统(改编自NIR技术)用于数据评估。使用新参数t_(max)〜*,可以避免温度变化的影响。该参数使所研究的糖果脂肪分类成功100%(p <0.05)。与在不同温度下测量的传统Avrami参数(例如n和lgk)相比,新参数(t〜*)在区分糖果脂肪方面具有最佳结果(正确分类约占71%)。使用lgk和n(79%)可以改善分类。使用极地鉴定系统可以实现更好的分类。使用点方法或表面方法,正确分类的案例的百分比为87.5%(p <0.05)。在每种情况下,可可脂CBE脂肪和CBR-CBS脂肪之间都有明确的界限。比较Avrami方法和PQS,可以得出结论,后者是对未知脂肪样品(仅纯可可脂替代脂肪)进行分类的更成功的方法。但是,PQS没有提供有关样品热行为的任何信息。

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