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Hyperspectral Imaging Sensing of Changes in Moisture Content and Color of Beef During Microwave Heating Process

机译:微波加热过程中牛肉水分含量变化的高光谱成像感测

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摘要

Moisture content (MC) and color are two important quality parameters of beef during microwave heating process. This study examined the effects of microwave heating time (0-75 s) on MC, color, and myoglobins of beef samples. The results showed that heating time significantly influenced the MC, color (L*, a*), and percentage of related myoglobins. The suitability of hyperspectral imaging (HSI) (400-1000 nm) was investigated to correlate the mean spectra of beef samples and the color and MC values during microwave treatment. After the use of pre-processing methods and optimum wavelengths selection, the SG-SPA-LS-SVM prediction model for MC (R (2) (P) = 0.869, RMSEP = 1.304, and RPD = 2.724) and the SG-RC-MLR model for a* (R (2) (P) = 0.890, RMSEP = 0.735, and RPD = 2.733) were established. The models were then used to develop the distribution maps of MC and a* values, respectively, showing that both MC and a* at the center of the meat slices were higher than those at the edge, corresponding to the temperature distribution during microwave heating. The results demonstrated the ability of HSI system for monitoring the changes of some quality parameters during microwave heating.
机译:水分含量(MC)和颜色是微波加热过程中牛肉的两个重要质量参数。本研究检测了微波加热时间(0-75秒)对牛肉样品的MC,COLOR和MYOGLOBINS的影响。结果表明,加热时间显着影响了MC,颜色(L *,A *)和相关肌疙瘩的百分比。研究了高光谱成像(HSI)(400-1000nm)的适用性,以在微波处理期间将牛肉样品和颜色和MC值的平均光谱相关。使用预处理方法和最佳波长选择后,MC的SG-SPA-LS-SVM预测模型(R(2)(P)= 0.869,RMSEP = 1.304和RPD = 2.724)和SG-RC -MLR模型用于*(r(2)(p)= 0.890,RMSEP = 0.735和RPD = 2.733)。然后使用模型来分别开发MC和A *值的分布图,示出了肉片中心的MC和A *高于边缘处的MC和A *,对应于微波加热期间的温度分布。结果表明了HSI系统在微波加热过程中监测一些质量参数变化的能力。

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