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Rapid Discrimination of Two Kinds of Codonopsis pilosula Using Three-Step Infrared Macro-Fingerprinting Combined with Clustering Analysis |
HUANG Dong-lan, XU Yong-qun, CHEN Xiao-kang, LU Wen-guan |
College of Chemistry and Environmental Engineering, Shaoguan University, Shaoguan 512005, China |
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Abstract Middle-infrared (MIR) spectroscopy is a well-known, rapid and non-destructive technique suitable for analyses of many different herbal medicines. In this work, MIR combined with clustering analysis was used to develop a novel method for the analysis of two kinds of Codonopsis pilosula. Altogether 49 samples were collected and analyzed. Their entire FT-IR spectra in the range of 4 000~400 cm-1 were generally similar except for small differences around 1 738 and 935 cm-1, indicating that they had similar chemical components. In the second derivative spectra (SD-IR), more distinct fingerprint features were revealed, especially peaks at 1 747, 1 515, 1 468, 1 368, 1 264, 1 163, 1 147, 1 108 and 936 cm-1. Furthermore, the 2D-IR spectra provided obvious differences of “Wen Dangshen” (WDS) and “Bai Tiao Dangshen” (BTDS). In the range of 1 510~1 170 cm-1, WDS had a strong 3×3 peak cluster, including three auto-peaks at 1 459, 1 298 and 1 209 cm-1, and the strongest auto-peak located in 1 209 cm-1. Whereas BTDS had only one very strong auto-peak at 1 450 cm-1 and three weak auto-peaks at 1 340, 1 260 and 1 209 cm-1. Moreover, the two species (49 samples) has been objectively classified with K-means pattern recognition technique. In conclusion, the three-step infrared macro-fingerprint identification method combined with K-means pattern recognition technique is simple, rapid and non-destructive, which plays an important role in discriminating similar natural products to ensure safe and effective clinical treatments.
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Received: 2016-06-28
Accepted: 2016-11-09
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