| 光谱学与光谱分析 |
|
|
|
|
|
| Study on Panax Notoginseng and Its Processed Products by FTIR Spectroscopy |
| HUANG Dong-lan1, CHEN Xiao-kang1*, XU Yong-qun1, SUN Su-qin2, LU Wen-guan1 |
1. School of Chemistry and Environmental Engineering, Shaoguan University, Shaoguan 512005, China
2. Department of Chemistry, Tsinghua University, Beijing 100084, China |
|
|
|
|
Abstract The chemical differences of panax notoginseng before and after processing were analyzed by Fourier transform Infrared spectroscopy (FTIR) combined with two-dimensionalcorrelation spectroscopy (2D-IR). Compared with conventional IR spectra of the samples, the FTIR spectra of panax notoginseng and its processed products were similar in the range of 1 200～400 cm-1. The difference was that prepared panax notoginseng had strong and characteristic peaks at 2 925，2 855，1 746，1 460，1 376 and 1 158 cm-1, which all arose from the characteristic vibration of peanut oil. This was because there was some peanut oil left in the panax notoginseng, when panax notoginseng after processing. Obvious differences were observed between 2D-IR spectra of them, in the range of 1 400～1 700 cm-1, there was only one auto peaks at 1 650 cm-1 in the spectra of panax notoginseng, but there were auto peaks at 1 469 and 1 640 cm-1 in the spectra of prepared panax notoginseng. In the range of 1 400～1 700 cm-1, the 2D-IR spectra of panax notoginseng and its processed product present characterstic peaks at 1 139(1 137)，1 194(1 196)，1 121(1 221)cm-1 respectively, but the relative intensities of auto peaks were changed. For example, auto peak around 1 139 cm-1 was enhanced, but auto peak around 1 194 cm-1 was weakened. The results of 2D-IR correlation spectroscopy indicated the decomposition of flavonoids, saccharides and saponins. This method can track dynamically the processingprocedure of panax notoginseng and reveal the main tansformations, so it can explain the pharmacology of panax notoginseng and its processed product by FTIR and 2D-IR.
|
|
Received: 2013-08-13
Accepted: 2013-12-25
|
|
|
|
Corresponding Authors:
CHEN Xiao-kang
E-mail: chk5710@126.com
|
|
[1] Pharmacopoeia Committee of Ministry of Health, the People’s Republic of China(中华人民共和国药典委员会). Pharmacopeia of the People’s Republic of China·Ⅰ(中华人民共和国药典·一部). Beijing: Chemical Industry Press(北京:化学工业出版社), 2010.
[2] Wang D, Liao P Y, Zhu H T, et al. Food Chemistry, 2012, 132: 1808.
[3] Lau A J, Toh D F, Chua T K, et al. Journal of Ethnopharmacology, 2009, 125: 380.
[4] GUO Lei, SHI Lei(郭 雷, 石 磊). Modern Journal of Integrated Traditional Chinese and Western Medicine(现代中西医结合杂志), 2010, 19(10): 1290.
[5] CHEN Bin, XU Hui-lin, JIA Xiao-bin(陈 斌, 许慧琳, 贾晓斌). Chinese Traditional and Herbal Drugs(中草药), 2013, 44(4): 482.
[6] Li D, Jin Z X, Zhou Q, et al. Journal of Molecular Structure, 2010, 974: 68.
[7] LIU Su-li, CHEN Jian-bo, ZHOU Qun, et al(刘素丽, 陈建波, 周 群, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(10): 2669.
[8] Choong Y K, SUN S Q,Zhou Q, et al. Vibrational Spectroscopy, 2011, 57: 87.
[9] Zhou Q, Chen J B, Sun S Q. Biomemdical Spectroscopy and Imaging, 2013, 2: 101.
[10] Guangxi Food and Drug Administration(广西壮族自治区食品药品监督管理局). Chinese Herbal Medicine Preparation Standards of Guangxi(广西壮族自治区中药饮片炮制规范). Nanning: Guangxi Science and Technology Press(南宁：广西科学技术出版社), 2007.
[11] Sun S, Wang C Z, Tong R, et al. Food Chemistry, 2010, 118: 307. |
| [1] |
CHENG Jia-wei1, 2，LIU Xin-xing1, 2*，ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
| [2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
| [3] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
| [4] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
| [5] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
| [6] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [7] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
| [8] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
| [9] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
| [10] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [11] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
| [12] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
| [13] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
| [14] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
| [15] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
|
|
|
|
