为了实现中药饮片的活性成分空间分布检测, 有效地对药用部位进行质量评价, 以中药黄连饮片为研究对象, 运用光谱成像分析技术进行检测。 首先获取检品的荧光光谱立方体, 根据中药鉴定学知识, 人工提取3个不同组织结构处的光谱曲线; 进而运用主成分分析法重构光谱图像, 将3个不同组织结构的特征差异集中于前几个主成分图中; 最后采用阈值法对第一主成分图像进行分割, 获得了不同组织结构的空间分布情况及各组织结构有效成分的相对含量。 实验结果显示光谱成像技术可以提供中药饮片有效成分的空间分布状态, 为入药部位的选择提供依据, 且检测过程无损、 快速。

In order to test the distribution of active constituent of traditional Chinese medicine and to evaluate the quality of medicinal part effectively, spectral imaging analysis technology was used, and rhizoma coptidis pieces were tested as an example. First, the fluorescence spectral cube was taken, and the spectral curve of 3 different medicinal parts of the piece was obtained; second, spectral images were reconstructed by principal components analysis method, and the differences of 3 medicinal parts on the first few principal components were focused; third, the first component image was divided by the threshold method, then the distribution and relative content of 3 medicinal parts were obtained. The results show that spectral imaging analysis technology can provide the distribution of the active constituent, which can be used as the criterion of selecting medicinal parts. The testing course is nondestructive and rapid.