光谱学与光谱分析 |
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Study on the Identification of Gypsum Fibrosum with FTIR |
YAN Wei, ZENG Bo-lin, MENG Jiang, WANG Shu-mei, LIANG Sheng-wang* |
School of Chinese Materia Medica,Guangdong Pharmaceutical University,Key Laboratory of State Administration of TCM for Digital Quality Evaluation Technology of Traditional Chinese Medicine,Guangdong Academies TCM Quality Engineering Technology Research Center,Guangzhou 510006,China |
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Abstract To establish a new identification method of Gypsum Fibrosum with FTIR and analyze different kinds of the sulfate mineral medicine with clustering method. With the use of FTIR, identify different kinds of sulfate mineral medicine, such as gypsum fibrosum, gypsum ustum and natrii sulfas , in addition, clustering method and first derivative spectra are used to analyze the intrinsic relationship in these kinds of sulfate mineral medicine. What’s more, 24 batches of Gypsum Fibrosum samples which from different production are analyzed with FTIR; then the spectrum control fingerprint with pattern is established with common peaks; at last the similarity between the simple spectrum fingerprint and the spectrum control fingerprint is calculated with angle cosine value and correlation coefficient. There are distinctions about the wave number, the peak position, the spike and the peak intensity in the infrared spectroscopy and first derivative spectra. Therefore, the sulfate mineral medicine is divided into two main regions with the based on these clusters: put the gypsum fibrosum and gypsum ustum in the same class, the natrii sulfas in the other class. Between 400 and 4 000 cm-1, the experiment showed that 24 batches of samples were more than 0.980 0. Provide a new, rapid and specificity method for identification and standard of gypsum fibrosum and build a successful cluster analysis about the sulfate mineral medicine.
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Received: 2015-04-15
Accepted: 2015-08-19
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Corresponding Authors:
LIANG Sheng-wang
E-mail: swliang371@163.com
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[1] SUN Xing-yan, SUN Feng-yi(孙星衍, 孙冯翼). Shen Nong’s Herbal Classic(神农本草经). Taiyuan: Shanxi Science and Technology Press(太原: 山西科学技术出版社), 2010. [2] The Pharmacopoeia Commission of the People’s Republic of China(国家药典委员会). Chinese Pharmacopoeia(中国药典). Beijing: China Medical Science Press(北京: 中国医药科技出版社), 2010. 87. [3] LI Qin, WU Chun-min, ZOU Yi-xiang, et al(李 沁, 吴春敏, 邹义翔, 等). Chin. J. Pharm. Anal.(药物分析杂志), 2013, 33(11): 1887. [4] FANG Fang, LI Xiang, LIU Sheng-jin, et al(房 方, 李 祥, 刘圣金, 等). Journal of Chinese Medicinal Materials(中药材), 2014, 37(3): 398. [5] FU Xing-sheng, LIU Xun-hong, LIN Rui-chao, et al(傅兴圣, 刘训红, 林瑞超, 等). Chinese Traditional Patent Medicine(中成药), 2011, 33(10): 1652. [6] YAN Wei, ZENG Bo-lin, LIANG Sheng-wang, et al (闫 蔚, 曾柏淋, 梁生旺, 等). Chinese Journal of Experimental Traditional Medical Formulae(中国实验方剂学), 2015, 21(20): 64. [7] LIU Yuan-fen, LI Xiang, GAO Jin-biao, et al(刘元芬, 李 祥, 高锦飚, 等). Nei Mongol Journal of Traditional Chinese Medicine(内蒙古中医药), 2007, (5): 27. [8] YOU Shu-xia, LIU Sheng-jin, LIN Rui-chao, et al(尤淑霞, 刘圣金, 林瑞超, 等). Chinese Journal of Pharmaceutical Analysis(药物分析杂志), 2011, 31(6): 1054. [9] LIU Sheng-jin, WU De-kang, LIN Rui-chao, et al(刘圣金, 吴德康, 林瑞超, 等). Chinese Traditional Patent Medicine(中成药), 2012, 34(2): 191. [10] LIN Rui-chao(林瑞超). The Measurement Technique and Quality of Mineral Medicine(矿物药检测技术与质量控制). Beijing: Science Press(北京: 科学出版社), 2013. [11] WENG Shi-fu(翁诗甫). Fourier Transform Infrared Spectrum Analysis(傅里叶变换红外光谱分析). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2010, 3. [12] DAI Jing-jing, WANG Run-sheng(代晶晶, 王润生). Geological Science and Technology Information(地质科技情报), 2013, 32(2): 9. [13] SHAO Jian-qiang(邵建强). Chinese Traditional and Herbal Drugs(中草药), 2006, 40(6): 994. [14] TIAN Run-tao, XIE Pei-shan(田润涛, 谢培山). Traditional Chinese Drug Research & Clinical Pharmacology(中药新药与临床药理), 2006, 17(1): 40. |
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