Method for identifying traditional Chinese medicinal materials by combining infra-red spectra with cluster analysis
A technology of cluster analysis and infrared spectroscopy, which is applied in the field of medicinal material detection and infrared spectroscopy for medicinal material detection, can solve problems such as the inability to guarantee background information, and achieve the effects of easy popularization and application, simple measurement and operation, and automation
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Embodiment 1
[0031] Example 1 Mid-infrared cluster analysis of Danshen medicinal materials from different origins
[0032] (1) Select Danshen medicinal materials - 30 batches of samples from Shandong and Sichuan. In 2006, Shaanxi base provided 32 batches of qualified medicinal materials in production.
[0033] (2) Carry out mid-infrared spectrum detection to obtain an infrared spectrum: the Spectrum one Fourier transform mid-infrared spectrometer of Perkin-Elmer Company is adopted, and the measurement range is 4000~400cm -1 , the number of scanners is 16 times, and the resolution is 4cm -1 .
[0034] (3) Using the principal component analysis algorithm in SIMCA software to establish a standard model of mid-infrared clustering, the selected reference is the standard infrared spectrum one-dimensional spectrum of Danshen medicinal materials provided by China Biological Products Inspection ( figure 1 ), the specific parameter indicators determined include spectral residuals, modeling residua...
Embodiment 2
[0043]Example 2 Mid-infrared Cluster Analysis of Genuine and Counterfeit Medicinal Materials of Spatholobus Spatholobus
[0044] (1) Select 30 batches of medicinal materials of Caulis Spatholobus and Spatholobus Spatholobus (common counterfeit products).
[0045] (2) Carry out mid-infrared spectrum detection to obtain an infrared spectrum: the Spectrum one Fourier transform mid-infrared spectrometer of Perkin-Elmer Company is adopted, and the measurement range is 4000~400cm -1 , the number of scanners is 16 times, and the resolution is 4cm -1 .
[0046] (3) Using the principal component analysis algorithm in the SIMCA software to establish a standard model of mid-infrared clustering, the selected reference is the standard infrared spectrum one-dimensional spectrum of Caulis Spatholobus provided by China Biological Products Inspection ( image 3 ), the specific parameter indicators determined include spectral residuals, modeling residuals, combined residuals, modeling weights...
Embodiment 3
[0055] Example 3 Cluster Analysis of Genuine Pinellia and Counterfeit Medicinal Materials
[0056] (1) Select 30 batches each of pinellia, pinellia, and araceae.
[0057] (2) Carry out mid-infrared spectrum detection to obtain an infrared spectrum: the Spectrum one Fourier transform mid-infrared spectrometer of Perkin-Elmer Company is adopted, and the measurement range is 4000~400cm -1 , the number of scanners is 16 times, and the resolution is 4cm -1 .
[0058] (3) Using the principal component analysis algorithm in SIMCA software to establish a standard model of mid-infrared clustering, the selected reference is the standard infrared spectrum one-dimensional spectrum of Pinellia medicinal materials provided by China Biological Products Inspection ( Figure 5 ), the specific parameter indicators determined include spectral residuals, modeling residuals, combined residuals, modeling weights, class distances, and resolution weights.
[0059] F-Test (%): 10.0
[0060] Backwa...
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