Analysis and Identification of Angelica Quality Based on Three-dimensional Fluorescence Spectroscopy and Pattern Recognition Technology
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Abstract:
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.
