| 光谱学与光谱分析 |
|
|
|
|
|
| Analysis of Infrared Spectra of 60 Kinds of Plant Extract of Traditional Chinese Medicine and Study on the Identification and Evaluation of Characteristics of the Regional Markers Associated with Cold and Heat Nature |
| WANG Peng1, ZHOU Hong-lei2, XUE Fu-zhong3, WANG Zhen-guo2* |
1. Academy of Clinical Chinese Medicine，Anhui University of Traditional Chinese Medicine，Hefei 230038，China
2. Key Laboratory of Ministry of Education of the Classical Theory of Traditional Chinese Medicine，Shandong University of Traditional Chinese Medicine，Ji’nan 250355，China
3. School of Public Health，Shandong University，Ji’nan 250012，China |
|
|
|
|
Abstract By using the Fourier transform infrared spectroscopy and linear discriminant analysis(LDA), logistic discriminant analysis(Logistic-DA), principal component analysis-linear discriminant analysis(PCA-LDA), partial least-squares discriminant analysis(PLS-DA), random forest(RF), support vector machine(SVM), infrared spectra of 60 kinds of plant extract of Chinese traditional medicine were analyzed and the identification and evaluation of characteristics of the regional markers associated with cold and heat nature were studied. Results indicated that LDA and SVM are suitable for the recognition model of water extract infrared spectral data, LDA is suitable for the identification model of anhydrous ethanol extract infrared spectral data, SVM is suitable for the identification model of chloroform extract infrared spectral data, while petroleum ether extract group recognition effect is not ideal. According to the suitable characteristic parameters identification model, data were analyzed by infrared spectroscopy, and parameters and resistance characteristics of the traditional Chinese drug composition can be obtained. Regional characteristics of these two parameters can be used to identify drug ingredients, and can also be used to indicate different degrees of resistance characteristics of traditional Chinese medicine. Component parameter is model identification coefficient corresponding to the position of spectrum and infrared, with a value greater than zero it is cold nature marker, while with a value less than zero it is heat nature marker; model identification score is a parameter reflecting the degree of cold and heat nature, the greater the score (positive), the more it is cold, while the smaller the score, the more it is hot.a parameter reflecting the degree of cold and heat,the greater the score (positive) is cold more strong, the score is small (negative) heat stronger.
|
|
Received: 2013-04-07
Accepted: 2013-08-08
|
|
|
|
Corresponding Authors:
WANG Zhen-guo
E-mail: zhenguow@126.com
|
|
[1] OUYANG Bing，WANG Peng，WANG Zhen-guo(欧阳兵，王 鹏，王振国). Journal of Beijing University of Traditional Chinese Medicine(北京中医药大学学报)，2006，29(9)：592.
[2] FU Xian-jun，WANG Peng，WANG Zhen-guo(付先军，王 鹏，王振国). World Science and Technology(Modernization of Traditional Chinese Medicine and Materia Medica(世界科学技术-中医药现代化)，2011，32(5)：94.
[3] LIU Jiang，CHEN Xing-fu，ZOU Yuan-feng(刘 江，陈兴福，邹元锋). China Journal of Chinese Materia Medica(中国中药杂志)，2012，37(8)：1081.
[4] QI Fang，RONG Rong，XUE Fu-zhong(齐 方，蓉 蓉，薛付忠). Chinese Journal of Health Statistics(中国卫生统计)，2011，28(6)：628.
[5] Yu F，Kong L，Zou H，et al. Comb. Chem. High Throughput Screen，2010，13(10)：855．
[6] DAI Yun，YE Yan-qing，FENG Wei-bo，et al(戴 云，叶艳青，冯伟博，等). Journal of Yunnan University of Nationalities(云南民族大学学报)，2007，16(4)：334.
[7] YU He-dan(于鹤丹). Journal of Mathematical Medicine(数理医药学杂志)，2006，19(1)：885.
[8] WANG Xiao-yan，LI Feng(王晓燕，李 峰). Journal of Shandong University of Traditional Chinese Medicine(山东中医药大学学报)，2012，36(5)：439.
[9] WANG Xiao-yan，LI Feng，XUE Fu-zhong(王晓燕，李 峰，薛付忠). China Journal of Traditional Chinese Medicine and Pharmacy(中华中医药杂志)，2012，27(4)：943.
[10] DENG Jia-gang，LIU Jin，QIN Ji-ping，et al(邓家刚，刘 进，覃吉萍，等). Chinese Journal of Spectroscopy Laboratory(光谱实验室)，2010，27(2)：741.
[11] LIU Jin，DENG Jia-gang，QIN Ji-ping，et al(刘 进，邓家刚，覃吉萍，等). Lishizhen Medicine and Materia Medica Research(时珍国医国药)，2010，21(3)：561.
[12] WANG Peng, WANG Zhen-guo(王 鹏，王振国). Tianjin Medical Journal(天津医药)，2012，40(10): 1.
[13] QI Fang, RONG Rong, XUE Fu-zhong(齐 芳，容 蓉，薛付忠). Journal of Shangdong University(山东大学学报)，2011，49(5)：147.
|
| [1] |
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. |
| [2] |
XU Rong1, AO Dong-mei2*, LI Man-tian1, 2, LIU Sai1, GUO Kun1, HU Ying2, YANG Chun-mei2, XU Chang-qing1. Study on Traditional Chinese Medicine of Lonicera L. Based on Infrared Spectroscopy and Cluster Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3518-3523. |
| [3] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
| [4] |
ZHAO Ling-yi1, 2, YANG Xi3, WEI Yi4, YANG Rui-qin1, 2*, ZHAO Qian4, ZHANG Hong-wen4, CAI Wei-ping4. SERS Detection and Efficient Identification of Heroin and Its Metabolites Based on Au/SiO2 Composite Nanosphere Array[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3150-3157. |
| [5] |
ZHANG Yue1, 3, ZHOU Jun-hui1, WANG Si-man1, WANG You-you1, ZHANG Yun-hao2, ZHAO Shuai2, LIU Shu-yang2*, YANG Jian1*. Identification of Xinhui Citri Reticulatae Pericarpium of Different Aging Years Based on Visible-Near Infrared Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3286-3292. |
| [6] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
| [7] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
| [8] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
| [9] |
JIN Cheng-liang1, WANG Yong-jun2*, HUANG He2, LIU Jun-min3. Application of High-Dimensional Infrared Spectral Data Preprocessing in the Origin Identification of Traditional Chinese Medicinal Materials[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2238-2245. |
| [10] |
WANG Yu-hao1, 2, LIU Jian-guo1, 2, XU Liang2*, DENG Ya-song2, SHEN Xian-chun2, SUN Yong-feng2, XU Han-yang2. Application of Principal Component Analysis in Processing of Time-Resolved Infrared Spectra of Greenhouse Gases[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2313-2318. |
| [11] |
SU Ling1, 2, BU Ya-ping1, 2, LI Yuan-yuan2, WANG Qi1, 2*. Study on the Prediction Method of Pleurotus Ostreatus Protein and
Polysaccharide Content Based on Fourier Transform Infrared
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1262-1267. |
| [12] |
ZHOU Ao1, 2, YUE Zheng-bo1, 2, LIU A-zuan1, 2, GAO Yi-jun3, WANG Shao-ping3, CHUAI Xin3, DENG Rui1, WANG Jin1, 2*. Spectral Analysis of Extracellular Polymers During Iron Dissimilar
Reduction by Salt-Tolerant Shewanella Aquimarina[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1320-1328. |
| [13] |
FENG Yu, ZHANG Yun-hong*. Rapid ATR-FTIR Principal Component Analysis of Commercial Milk[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 838-841. |
| [14] |
YUE Kong, LU Dong, SONG Xue-song. Influence of Thermal Modification on Poplar Strength Class by Fourier Infrared Spectroscopy Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 848-853. |
| [15] |
ZHANG Yan1, 2, WANG Hui-le1, LIU Zhong2, ZHAO Hui-fang1, YU Ying-ying1, LI Jing1, TONG Xin1. Spectral Analysis of Liquefaction Residue From Corn Stalk Polyhydric
Alcohols Liquefaction at Ambient Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 911-916. |
|
|
|
|
