Department of Agricultural and Biosystems Engineering, University of Kassel, Witzenhausen, Germany.
Department of Agricultural and Biosystems Engineering, University of Kassel, Witzenhausen, Germany.
Meat Sci. 2021 Aug;178:108525. doi: 10.1016/j.meatsci.2021.108525. Epub 2021 Apr 24.
Drying behavior and instrumental color development of beef slices untreated or pretreated with salt or salt and vinegar solutions were monitored by determining the moisture content and the color change by measuring CIELAB values during drying at 50, 60, and 70 °C. Time-series hyperspectral imaging (400-1000 nm) was applied with regard to the development of non-invasive measurement systems based on robust models to predict moisture and color independent of the pre-treatment and drying temperature. Samples pretreated with salt dried the slowest which became more prominent at increasing drying temperatures and the least color change (∆E = 23) was observed at 60 °C drying temperature. Robust prediction models for moisture content and CIELAB values irrespective of pre-treatment and processing conditions were developed successfully and improved by wavelengths selection with high R (0.94-0.98) and low RMSEP (1.05-5.22) which will support the future development of simple and cost-effective applications regarding non-invasive product monitoring systems for beef drying processes.
将未经处理或经盐或盐和醋溶液预处理的牛肉片的干燥行为和仪器颜色发展通过在 50、60 和 70°C 干燥过程中测定水分含量和通过测量 CIELAB 值来监测颜色变化。应用时间序列高光谱成像(400-1000nm),以开发基于稳健模型的非侵入式测量系统,这些模型可独立于预处理和干燥温度预测水分和颜色。用盐预处理的样品干燥最慢,在升高的干燥温度下变得更加明显,在 60°C 的干燥温度下观察到最小的颜色变化(∆E=23)。成功地开发了稳健的水分含量和 CIELAB 值预测模型,无论预处理和加工条件如何,并通过高 R(0.94-0.98)和低 RMSEP(1.05-5.22)的波长选择进行了改进,这将支持未来针对牛肉干燥过程的简单且具有成本效益的非侵入式产品监测系统的开发。