利用荧光光谱分析技术，筛选供试品溶液制备和光谱分析测试条件，建立当归提取物三维荧光光谱质量分析和判别方法。研究结果表明，当归水提取物与50%甲醇-水提取物具有相似的三维荧光光谱，主要呈现出270 nm/345 nm、270 nm/475 nm和330 nm/475 nm三个特征激发/发射（λex/λem）峰，但特征峰的相对强度存在一定差异；乙酸乙酯提取物的三维荧光光谱呈现了265 nm/295 nm，325 nm/425 nm两个特征荧光峰。当归提取物的三维荧光光谱具有良好的专属性，能够实现当归与其同科属中药材川穹、独活、北沙参、蛇床子和小茴香的快速有效鉴别。结合SPSS 22软件计算机模式识别方法，当归水提取物三维荧光光谱能够实现对不同产区和品种当归的分类和判别，与实际结果完全一致。中药当归提取物的三维荧光光谱提供了当归荧光物质组成与含量信息；结合计算机模式识别方法，三维荧光光谱能够实现对不同产地当归的分类和判别，方法简便、快捷、准确，可以用于当归药材质量一致性评价和真伪鉴别，为深入研究和建立当归三维荧光光谱指纹图谱质控技术提供参考。

The fluorescence spectral analysis technology was used to screen the preparation and test conditions of the sample solution, and the three-dimensional (3D) fluorescence spectrum quality analysis and discrimination method of Angelica sinensis extracts were established. The results showed that the 3D fluorescence spectral features of the water extracts were similar to those of the 50% methanol-water extracts, which mainly exhibited three characteristic excitation/emission peaks with different relative emission intensities at 270 nm/345 nm, 270 nm/475 nm and 330 nm/475 nm (λex/λem), respectively. The 3D fluorescence spectra of ethyl acetate extracts showed two characteristic fluorescence peaks of 265 nm/295 nm and 325 nm/425 nm. The established 3D fluorescence spectra of Angelica sinensis extracts also showed good specificities, which can realize the rapid and effective identification of several Chinese herbs from the same category of Angelica sinensis, i.e., Chuanxiong rhizoma, Angelicae pubescentis Radix, Glehniae Radix, Cnidii Fructus and Foeniculi Fructus. Combined with the computer pattern recognition method, the 3D fluorescence spectral information of the water extracts of Angelica sinensis samples from different producing areas and varieties were analyzed and discriminated by SPSS 22 software, and the results showed that the Angelica sinensis samples could be distinguished effectively, which were completely consistent with the actual results. The 3D fluorescence spectra of Angelica sinensis extracts showed the characteristic spectral morphology, which can reflect the information on composition and content of fluorescent substances. Combined with the computer pattern recognition method, the 3D fluorescence spectrum of the water extract of Angelica sinensis can realize the classification and discrimination of Angelica sinensis from different producing areas and varieties. The method is simple, fast and accurate, and can be used for quality consistency evaluation and authenticity identification of Angelica sinensis medicinal materials, which also provides a reference for further research and establishment of the quality control technology of 3D fluorescence spectrum fingerprint of Angelica sinensis.

甘肃省委组织部人才发展专项资金项目（甘组【2018】23号）；中科院兰州化物所十三五重大突破项目（2016-2020）；兰州市人才创新创业科技计划项目（2017-RC-112）；甘肃省科技小巨人企业培育计划项目（17CXIJA084）