吉林大学学报(工学版)

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用近红外光谱-PLS法非破坏性分析吡嗪酰胺片

滕乐生,年综潜,逯家辉,郭伟良,蒋朝军,孟庆繁   

  1. 吉林大学 生命科学学院 生物药学系, 长春 130012
  • 收稿日期:2005-11-02 修回日期:2006-03-24 出版日期:2006-05-01 发布日期:2006-05-01
  • 通讯作者: 孟庆繁

Quantitative analysis of Pyrazinamide tablets by near infrared spectroscopy with PLS regression

Teng Le-sheng, Nian Zong-qian, Lu Jia-hui,Guo Wei-liang, Jiang Chao-jun, Meng Qing-fan   

  1. Department of Biopharmacy,College of Life Science,Jilin University,Changchun 130012,China
  • Received:2005-11-02 Revised:2006-03-24 Online:2006-05-01 Published:2006-05-01
  • Contact: Meng Qingfan

摘要: 应用偏最小二乘法结合近红外光谱法(NIRSPLS)对吡嗪酰胺片中吡嗪酰胺的含量进行了非破坏性定量分析。采用近红外一阶导数800~1200 nm光谱区间建立了吡嗪酰胺片中吡嗪酰胺的含量定量分析模型,校正集预测值与真实值的相关系数(R)达到0.9989,预测均方根误差(RMSEP)为0.563,表明所建模型准确可靠,预测准确度高,NIRSPLS方便快捷,可作为药品分析的一种常规方法。

关键词: 药物化学, 近红外光谱法, 偏最小二乘法, 非破坏性分析, 吡嗪酰胺

Abstract: Near infrared diffuse reflectance spectroscopy with partial least square fitting (NIRSPLS) was applied for nondestructive quantification of the content of Pyrazinamide in Pyrazinamide tablets. A mathematical calibration model of NIRS was proposed using the first derivative spectrum in the wavelength range from 800 to 1200 nm. For this model, the regression coefficient (R) between predicted values and actual values in calibration set is as high as 0.9989 and the root meansquare error of prediction (RMSEP) is 0.563. Results show that this model is reliable with high prediction accuracy and is convenient for use, that can be used as general means in pharmaceutical analysis.

Key words: pharmacochemistry, near infrared spectroscopy, partial least squares, nondestructive analysis, pyrazinamide

中图分类号: 

  • O657.33
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