光谱学与光谱分析 |
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Study on Identification of Gastrodia Elata Bl. by Fourier Self-Deconvolution Infrared Spectroscopy |
CHENG Ze-feng1,XU Rui2,CHENG Cun-gui1* |
1. College of Chemistry and Life Science,Zhejiang Normal University,Jinhua 321004,China 2. College of Chemical Engineering,Henan University of Science and Technology,Luoyang 471000,China |
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Abstract In the present article the FTIR spectra of the wild and planting Gastrodia elata Bl. from different habitats and its confusable varieties such as Canna edulis Ker-Gawl, Colocasia esculenta (L. ) Schott and Solanum tuberosum L. were obtained by horizontal attenuated total reflection infrared spectroscopy (HATR-FTIR), and were all transformed by Fourier self-deconvolution. The authors investigated the discrepancy extent of Fourier self-deconvolution of Gastrodia elata Bl and confusable varieties under various bandwidth and enhancement, and found that the discrepancy extent of Gastrodia elata Bl and confusable varieties was the most obvious when the bandwidth was between 75.0 and 76.0 and enhancement was 3.2. By adopting Fourier self-deconvolution infrared spectroscopy (FSD-IR) analytical method the samples were studied in detail. The results showed that we could find out the difference among them by means of Fourier self-deconvolution infrared spectroscopy, although it was very difficult to find out the difference in FSD-IR spectra of wild and planting Gastrodia elata Bl., and asexual reproduction and sexual reproduction Gastrodia elata Bl. The difference in FSD-IR spectra between Gastrodia elata Bl. and its confusable varieties is also very great. Therefore, this method can be used to recognize different Gastrodia elata Bl. and its confusable varieties simply, rapidly and accurately.
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Received: 2006-04-04
Accepted: 2006-09-30
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Corresponding Authors:
CHENG Cun-gui
E-mail: ccg@zjnu.cn
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Cite this article: |
CHENG Ze-feng,XU Rui,CHENG Cun-gui. Study on Identification of Gastrodia Elata Bl. by Fourier Self-Deconvolution Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(09): 1719-1722.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I09/1719 |
[1] The Pharmacopoeia Committee of the People’s Republic of China(中华人民共和国药典委员会编). Pharmacopoeia of the People’s Republic of China(Vol.1)(中华人民共和国药典·一部). Beijing:Chemical Industry Press(北京:化学工业出版社),2005. 39. [2] REN De-cheng(任德成). Journal of Jiangxi College of Traditional Chinese Medicine(江西中医学院学报),1998,10(3):142. [3] CHENG Cun-gui, SUN Cui-rong, PAN Yuan-jiang(程存归,孙翠荣,潘远江). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(9):1055. [4] CHENG Cun-gui,RUAN Yong-ming,LI Bing-lan(程存归,阮永明,李冰岚). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(11):1355. [5] CHENG Cun-gui,YING Tao-kai(程存归,应桃开). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(1):36. [6] LIU Gang,DONG Qin,YU Fan,et al(刘 刚,董 勤,俞 帆,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(3):308. [7] LI Dan-ting, CHENG Cun-gui, DU Zheng-xiong, et al(李丹婷,程存归,杜正雄, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(12):2186. [8] LI Dan-ting, ZHANG Chang-jiang, WANG Jin, et al(李丹婷,张长江,汪 劲,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(11):2024. [9] ZHANG Chang-jiang, LI Dan-ting, LIANG Jiu-zhen, et al(张长江,李丹婷,梁久祯,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(1):50. [10] WU Jin-guang(吴瑾光主编). Technology of Recent Fourier Transform Infrared Spectra and Its Application[Ⅰ](近代傅里叶变换红外光谱技术及应用). Beijing:Science and Technology Document Publishing House(北京:科学技术文献出版社),1994. 133. |
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