光谱学与光谱分析 |
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Near Infrared Spectrometry (NIRS) Method for the Determination of Borneol in Sustained-Release Drugs |
NI Li-jun, ZHU Jing, ZHANG Li-guo |
East China University of Science and Technology, Shanghai 200237, China |
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Abstract In order to detect the release profile of borneol in sustained-release preparations, a series of NIRS calibration models were established on the basis of chemometrics and internal relationships between NIRS and analytical concentrations of samples, which contained the same substances as the preparations. Partial least square (PLS) algorithm was used to establish the model for predicting the content of borneol. The effect of spectra types,concentration range of samples, and calibration range on the models and predicting results were investigated. It was found that uhe best calibration models and prediction results can be obtained by using original spectra in the 5 314-7 032 cm-1 region. The models established according to standards’ concentration levels are better than those established without considering concentration levels. Using the model 2 in which calibration standards had medium or high concentration levels, rapid and accurate measurement of borneol released from sustained-release preparation was realized. The results indicated that the method and models provide valuable criteria for developing sustained-release borneol preparations.
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Received: 2004-10-26
Accepted: 2005-02-26
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Corresponding Authors:
NI Li-jun
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Cite this article: |
NI Li-jun,ZHU Jing,ZHANG Li-guo. Near Infrared Spectrometry (NIRS) Method for the Determination of Borneol in Sustained-Release Drugs [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(01): 67-69.
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URL: |
https://www.gpxygpfx.com/EN/Y2006/V26/I01/67 |
[1] LIU Yang, ZHANG Bo-li, HU Li-min, et al(刘 洋, 张伯礼,胡利民,等). Tianjin Journal of Traditional Chinese Medicine(天津中医药),2003,20(4):85. [2] YAN Yan-lu,ZHAO Long-lian, LI Jun-hui, et al(严衍禄, 赵龙莲, 李军会, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(6):777. [3] XU Guang-tong,YUAN Hong-fu,LU Wan-zhen(徐广通, 袁洪福, 陆婉珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(2):134. [4] Corti P,Savini L,Dreassi E,et al. Process Control Qual.,1992,2(2):131. [5] Zannikos Peter N,Li Wen I,Drennen James K. Pharm. Res.,1991,8(8):974. [6] Drennen James K,Lodder Robert A. Pharm. Sci.,1990,79(7):622. [7] GU Xiao-yu, WANG Yan,XU Ke-xin et al(谷筱玉, 汪 曣, 徐可欣, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(2):155. [8] Candolfi A,De Maesschalck R,Jouan-Rimbaud D,et al. Pharm. Biomed. Anal.,1999,21(1):115. [9] NI Li-jun, SHI Xiao-hao, GAO Xiu-jiao, et al(倪力军, 史晓浩,高秀蛟,等). J. of Chin. Pharm. (中国药学杂志),2004,39(8):628.
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