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枇杷叶富含三萜酸类化合物,具有较高的药用价值。本研究首先建立枇杷叶高光谱信号与三萜酸含量的对应关系,然后利用高光谱图像包含每个像素点的光谱信号这一独特优势,检测枇杷叶片的三萜酸分布。通过联合区间偏最小二乘法(si PLS)建立三萜酸含量分析模型,结果表明,采用si PLS将全光谱均匀划分11个子区间,选择1、5、6、7联合,主因子数为4 h,建立的si PLS谱区筛选模型预测效果最佳,其交互验证均方根误差(RMSECV)和预测均方根误差(RMSEP)分别为3.392 mg/g和3.731 mg/g,校正集和预测集相关系数分别为0.8449和0.8223。根据si PLS模型计算叶片上所有像素点处的三萜酸含量,并通过伪彩色方法描述叶片中三萜酸含量的分布。研究结果表明,利用高光谱图像技术分析枇杷叶片三萜酸含量及叶面分布是可行的。
Loquat leaf is rich in triterpenic acid compounds, with high medicinal value. In this study, the relationship between the hyperspectral signal of eriobotrya japonica and the content of triterpenic acid was first established. Then, the triterpene acid distribution in loquat leaves was detected by using the unique advantage that the hyperspectral image contains the spectral signal of each pixel. The triterpenic acid content analysis model was established by the joint interval partial least-squares (si PLS). The results showed that the whole spectrum was uniformly divided into 11 sub-intervals by si PLS. The combination of 1,5,6,7 and the main factor was 4 h , The established prediction model of si PLS spectral region was the best, RMSECV and RMSEP were 3.392 mg / g and 3.731 mg / g respectively, the calibration set and the prediction set The correlation coefficients were 0.8449 and 0.8223 respectively. According to the si PLS model, the triterpenic acid content of all the pixels in the leaves was calculated, and the distribution of the triterpene acid content in the leaves was described by the pseudo-color method. The results show that the use of hyperspectral image analysis of loquat leaf triterpenic acid content and leaf surface distribution is feasible.