• Spectroscopy and Spectral Analysis
  • Vol. 43, Issue 10, 3202 (2023)
[in Chinese]1, [in Chinese]2, [in Chinese]2, [in Chinese]2, [in Chinese]3, [in Chinese]2, [in Chinese]2, [in Chinese], [in Chinese]4、5, and [in Chinese]
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2023)10-3202-09 Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Study on Infrared Fingerprint of the Classical Famous Prescription Yiguanjian[J]. Spectroscopy and Spectral Analysis, 2023, 43(10): 3202 Copy Citation Text show less

    Abstract

    The classic formula Yiguanjian consists of 6 herbs: Rehmannia glutinosa Libosch, Angelica sinensis (Oliv. ) Diels, Glehnia littoralis Fr. Schmindt ex Miq, Lyciumbarbarum L, Ophiopogon japonicus (L. f) Ker-Gawl, Melia toosendan Sieb. et Zucc are effective in nourishing the liver and kidneys and de-stressing the liver and Qi. Infrared spectroscopy has the advantage of being fast and non-destructive. Infrared spectroscopy provides complete information from different batches of Yiguanjian benchmark samples. The infrared spectra of the samples were collected using a Fourier transform infrared spectrometer. The raw spectra were pre-processed to obtain relative peak heights and to attribute shared peaks. The infrared spectral data were evaluated using HCA, PCA and OPLS-DA. The results showed that the sugar skeleton stretching vibration absorption peaks in the 868, 822 and 779 cm-1 bands of the 15 batches of Yiguanjian benchmark samples were mostly contributed by Lyciumbarbarum L and a few at the 815 cm-1 band were contributed by Ophiopogon japonicus(L. f) Ker-Gawl. The single decoction of Rehmannia glutinosa Libosch at 1 148 cm-1 band, the single decoction of Glehnia littoralis Fr. Schmindt ex Miq at 1 158, 1 082, 1 019 cm-1 band and the single decoction of Angelica sinensis (Oliv. ) Diels at 993 cm-1 band all contributed to the glycosidic composition. The absorption peak of soluble lipid glycosides in the 1 746 cm-1 band of the single decoction of Melia toosendan Sieb. et Zucc is obvious, but the absorption peak is not obvious in Yiguanjian benchmark samples. It may have changed chemically during decoction. The HCA results showed that S1, S2, S15 clustered into one group, S9, S11, S12, S13, S14 clustered into one group, S3, S4, S5, S6, S7, S8, S10 clustered into one group when the distance between groups=10. Indicating that there was some variation in the internal quality of different batches of consistent decoctions. It indicates some variation in the internal quality of the 15 batches of Yiguanjian benchmark samples. The PCA classification results were in general agreement with the HCA results, and the combined principal component scores were calculated for different batches, with batch No.3 Yiguanjian being the best quality decoction and batch No.1 being the worst. Analysis of the load scatter plots yielded 1 104, 1 142, 1 412, 1 260, and 868 cm-1 band peaks contributing more to principal component 1; 777, 2936, 923, 1 721, 818, and 637 cm-1 band peaks contributing more to principal component 2. OPLS-DA results are consistent with HCA and PCA results. Using VIP>1 as a criterion, seven bands that led to differences between samples were screened, 777, 637, 923, 2 936, 1 260, 1 412 and 1 630 cm-1, respectively, and the results were generally consistent with the importance weighting variables looked for in the PCA loading diagram. The established method of infrared fingerprinting of Yiguanjian is simple and accurate, which can be used for the rapid identification and analysis of the classical formulae and provide a reference for the quality control and evaluation of the classical formulae of Yiguanjian.
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Study on Infrared Fingerprint of the Classical Famous Prescription Yiguanjian[J]. Spectroscopy and Spectral Analysis, 2023, 43(10): 3202
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