光谱学与光谱分析 |
|
|
|
|
|
Study on Polygonum Multiflorum Thunb and Extracts by DRIFTS and ATR-FTIR |
YAO Yan1, CHEN Qi-jie2, ZHANG Ping2*, LIU Wen-feng2, SUN Li-li1, DU Wen-qing2, SHE Ting-hui2, KANG Xiao-long1, WANG Xiao-lan1 |
1. Guangzhou Key Laboratory for Functional Studies on Plant Stress-Resistant Genes, School of Life Science, Guangzhou University, Guangzhou 510006, China 2. School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China |
|
|
Abstract The diffuse-reflectance FTIR spectroscopy (DRIFTS) and attenuated total reflection FTIR (ATR-FTIR) were used to study polygonum multiflorum Thumb and its extracts. The result shows that when acetone is used as extraction agent, the contents of extracts in polygonum multiflorum Thunb’s phloem are highest, those in polygonum multiflorum Thunb’s xylem are the lowest. Compared with DRIFTS and ATR-FTIR, it can be found that there are some differences between polygonum multiflorum Thunb and its extracts. There are two gentle absorption peaks at 3 576 and 3 147 cm-1 respectively for polygonum multiflorum Thunb, while there is a strong absorption peak at 3 351 cm-1 for its extracts, showing that there may be more OH… active ingredients in polygonum multiflorum Thunb’s extracts. Meanwhile, polygonum multiflorum Thunb has strong absorption peaks at 931, 859, 766 and 709 cm-1 respectively, while its extracts have no resembling absorption peaks. It also shows that the extracts are active ingredients.
|
Received: 2012-05-29
Accepted: 2012-08-20
|
|
Corresponding Authors:
ZHANG Ping
E-mail: zhangping@gzhu.edu.cn
|
|
[1] Yu Jie, Xie Jie, Mao Xiaojian, et al. Chinese Journal of Natural Medicines, 2012, 10(1): 63. [2] WANG Zhen-chun, ZHANG Xiao-yan, ZHAO Wei, et al(汪珍春, 张晓燕, 赵 炜, 等). Chinese Journal of Northern Horticulture(北方园艺),2012,(9): 1191. [3] LIU Ming-jie, WANG Zhao, SUN Su-qin(刘明杰, 王 钊, 孙素琴). Chinese Journal of Pharmaceutical Analysis(药物分析杂志),2001,21(5):373. [4] ZHOU Hong-bo, FANG Zhi-jian, YANG Li-wei, et al(周洪波, 房志坚, 杨立伟, 等). Asia-Pacific Traditional Medicine(亚太传统医药), 2010, 6(1): 26. [5] ZHANG Jun, JIANG Gui-hua, JING Xiao-li, et al(张 俊, 蒋桂华, 敬小莉, 等). Lishizhen Medicine and Materia Medica Research(时珍国医国药),2011, 22(8): 2020. [6] Ana Paula Craig, Adriana S Franca, Leandro S Oliveira. LWT-Food Science and Technology, 2012, 47(2): 505. [7] Pappas C S, Takidelli C, Tsantili E. Journal of Food Composition and Analysis, 2011, 24(1): 17. [8] Müller M, Kebler B. Journal of Pharmaceutical and Biomedical Analysis, 2012, 66: 183. [9] William Mitchell, Sabine Goldberg, Hind A. Journal of Colloid and Interface Science, 2011, 358(2): 534. |
[1] |
LI Xin-ting, ZHANG Feng, FENG Jie*. Convolutional Neural Network Combined With Improved Spectral
Processing Method for Potato Disease Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 215-224. |
[2] |
ZHENG Shu-yuan1, 2, HAI Yan1, 2, HE Meng-qi1, 2, WANG Jian-xiong1, 2. Construction of Vegetation Index in Visible Light Band of GF-6 Image With Higher Discrimination[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3509-3517. |
[3] |
QIAN Rui1, XU Wei-heng2, 3 , 4*, HUANG Shao-dong2, WANG Lei-guang2, 3, 4, LU Ning2, OU Guang-long1. Tea Plantations Extraction Based on GF-5 Hyperspectral Remote Sensing
Imagery in the Mountainous Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3591-3598. |
[4] |
WEI Zi-kai, WANG Jie, ZHANG Ruo-yu, ZHANG Meng-yun*. Classification of Foreign Matter in Cotton Using Line Scan Hyperspectral Transmittance Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3230-3238. |
[5] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
[6] |
DAI Shuo1, XIA Qing1*, ZHANG Han1, HE Ting-ting2, ZHENG Qiong1, XING Xue-min1, LI Chong3. Constructing of Tidal Flat Extraction Index in Coastal Zones Using Sentinel-2 Multispectral Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1888-1894. |
[7] |
FENG Ying-chao1, HUANG Yi-ming2*, LIU Jin-ping1, JIA Chen-peng2, CHEN Peng1, WU Shao-jie2*, REN Xu-kai3, YU Huan-wei3. On-Line Monitoring of Laser Wire Filling Welding Process Based on Emission Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1927-1935. |
[8] |
JIA Meng-meng, YIN Yong*, YU Hui-chun, YUAN Yun-xia, WANG Zhi-hao. Hyperspectral Imaging Combined With Feature Wavelength Screening for Monitoring the Quality Change of Tomato During Storage[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 969-975. |
[9] |
FENG Xin1, 2, FANG Chao1*, GONG Hai-feng2, LOU Xi-cheng1, PENG Ye1. Infrared and Visible Image Fusion Based on Two-Scale Decomposition and
Saliency Extraction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 590-596. |
[10] |
ZHANG Hai-yang, ZHANG Yao*, TIAN Ze-zhong, WU Jiang-mei, LI Min-zan, LIU Kai-di. Extraction of Planting Structure of Winter Wheat Using GBDT and Google Earth Engine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 597-607. |
[11] |
WANG Zhi-xin, WANG Hui-hui, ZHANG Wen-bo, WANG Zhong, LI Yue-e*. Classification and Recognition of Lilies Based on Raman Spectroscopy and Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 183-189. |
[12] |
CAI Yu1, 2, ZHAO Zhi-fang3, GUO Lian-bo4, CHEN Yun-zhong1, 2*, JIANG Qiong4, LIU Si-min1, 2, ZHANG Cong-zi4, KOU Wei-ping5, HU Xiu-juan5, DENG Fan6, HUANG Wei-hua7. Research on Origin Traceability of Rhizoma Dioscoreae Based on LIBS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 138-144. |
[13] |
YAN Wen-hao1, YANG Xiao-ying1, GENG Xin1, WANG Le-shan1, LÜ Liang1, TIAN Ye1*, LI Ying1, LIN Hong2. Rapid Identification of Fish Products Using Handheld Laser Induced Breakdown Spectroscopy Combined With Random Forest[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3714-3718. |
[14] |
DUAN Hong-wei1, 2, GUO Mei3, ZHU Rong-guang3, NIU Qi-jian1, 2. LIBS Quantitative Analysis of Calorific Value of Straw Charcoal Based on XY Bivariate Feature Extraction Strategy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3435-3440. |
[15] |
YUAN Zhuang1, DONG Da-ming2*. Near-Infrared Spectroscopy Measurement of Contrastive Variational Autoencoder and Its Application in the Detection of Liquid Sample[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3637-3641. |
|
|
|
|