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首页> 外文期刊>Journal of food engineering >Method comparison between real-time spectral and laboratory based measurements of moisture content and CIELAB color pattern during dehydration of beef slices
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Method comparison between real-time spectral and laboratory based measurements of moisture content and CIELAB color pattern during dehydration of beef slices

机译:牛肉切片脱水过程中实时光谱与实验室基于实验室测量的方法比较

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摘要

In this study, partial least square (PLS) regression models were developed to predict moisture content (MC) (model 1), CIELAB color (model 2) or all four parameters (model 3) of beef slices during drying. Model development was based on data from two measurement campaigns of MC (%), CIELAB L*, a* and b* values and hyperspectral data in the range of 500-1009 nm. To increase the robustness of the models, the beef samples varied dependent on cattle breed, cut and pre-treatment. With low-cost, non-invasive continuous monitoring systems in mind, the models were simplified by wavelengths selection. The Deming and Passing-Bablok regression and the Bland-Altman plot revealed high model performances. Mean differences (full/reduced model) of -0.64/-0.64 for MC, -0.14/-0.15 for CIELAB L*, 0.05/0.04 for a* and 0.08/0.06 for b* values were achieved for model 3, which shows the high potential for simple real-time monitoring applications combining all investigated factors and parameters.
机译:在该研究中,开发了部分最小二乘(PLS)回归模型以在干燥期间预测牛肉片的水分含量(MC)(MC)(MC)(模型2)或所有四个参数(型号3)。模型开发基于来自MC(%),CIELAB L *,A *和B *值的两个测量活动的数据,并且高光谱数据范围为500-1009 nm。为了增加模型的稳健性,牛肉样品依赖于牛种品种,切割和预处理。以低成本,记住非侵入性连续监测系统,通过波长选择简化了模型。 DEMING和COSS-BABLOK回归和BLAND-ALTMAN PLOT揭示了高模型表演。对于MC,用于MC的MC的平均差异(全/减少模型)-0.64 / -0.64的CIELAB L *,0.05 / 0.04对于B *值的型号为3,展示简单实时监测应用的高潜力结合所有调查的因素和参数。

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