摘要
本文用改进的偏最小二乘法(PLS)解析Norvasc药片的近红外(NIR)漫反射光谱,实现了对其中的有效成分苯磺酸氨氯地平的精确的非破坏定量分析。用样品的主成分得分趋势图选择PLS的最佳主成分数。分别讨论了最佳波长范围以及NIR原始光谱、NIR一阶导数光谱、NIR二阶导数光谱对测定结果的影响。用HPLC法的测定结果作标准,苯磺酸氨氯地平预测值的相对误差RE(%)<2.53%,可以满足Norvasc药片实际生产中的质量控制要求。
The improved partial least squares （PLS） method was used to analyze the near infrared （NIR） reflectance spectrum of norvasc in tablets. The contents of amlodipine besylate,which exist in Norvasc medicine, have been accurately nondestructive quantitatively predicted. The best numbers of principal components（PC） was designed by scores plot of samples in PC. The effect of the wavelength range, conventional spectra, first-derivative spectra and second-derivative spectra on the results were discussed, respectively. Compared with the results from HPLC, the relative errors （RE % ） of amlodipine besylate were less than 2. 53%. The analytical results could be applied to qualitative control of Norvasc in tablets for practical manufacture.
出处
《光谱实验室》
CAS
CSCD
2006年第4期853-857,共5页
Chinese Journal of Spectroscopy Laboratory
关键词
偏最小二乘
近红外漫反射光谱
主成分
非破坏定量分析
Norvase药片
Partial Least Squares （PLS）, Near Infrared Reflectance Spectrum, Principal Components（PC） ,Nondestructive Quantitative Analysis,Norvasc in Tablets.
