The purpose of this study was to build a rapid and nondestructive method to evaluate the quality of Jinhua dry‐cured ham (JHH). Hyperspectral imaging (HSI) in the spectral range of 400–1,000 nm was acquired to build a quantitative model to monitor the quality of JHH, coupled with characteristic color indicators that highly correlated to the quality of JHH to simply data process. The feature wavelength of spectral data was selected by the successive projection algorithm. Quantitative regression models based on four spectral preprocessing methods were established to predict color indicators. And color indicators can reflect the difference of quality attributes of JHH, especially ΔL* and ΔE*. For Jinhua second‐grade ham, effective models (δL* and δE*) had optimal of 0.920, 0.938 and root mean square error of prediction of 1.02, 1.12. Therefore, this rapid and nondestructive method for quality evaluation of JHH dry‐cured ham has the potential to apply to modernization processing of manufacture.

中文翻译：

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利用高光谱成像和色度计快速无损监测金华干火腿的质量

这项研究的目的是建立一种快速且无损的方法来评估金华干火腿（JHH）的质量。获得了在400–1,000 nm光谱范围内的高光谱成像（HSI），以建立定量模型来监控JHH的质量，并结合与JHH的质量高度相关的特征颜色指示剂，从而可以简单地进行数据处理。通过连续投影算法选择光谱数据的特征波长。建立了基于四种光谱预处理方法的定量回归模型来预测颜色指标。和颜色的指标可以反映JHH的质量属性，尤其是差Δ L *和Δ E *。对于金华二级火腿，有效模型（δL*和δE*）具有最优0.920、0.938的均方根误差和1.02、1.12的预测均方根误差。因此，这种快速，无损的JHH干火腿质量评估方法有潜力应用于生产现代化过程。