摘要
应用化学计量法处理光谱数据,用偏最小二乘法建立格列齐特片的近红外分析模型。通过光谱预处理和模型的逐步优化最终确定定量分析模型的相关系数为0.991,交叉验证均方差(RMSECV)为0.641,预测均方根误差(RMSEP)为0.980,主因子数为4。选取15个验证样品对模型进行检验,检测结果相对误差在-2.04%～3.52%之间。
Chemometrics was applied to data treatment in the rapid NIRS analysis of gliclazide tablets.The method of partial least square（PLS） was used in the establishment of analytical mathematical model.Through spectral pretreatment and step-by-step optimization,and the following parameters were obtained： correlation coefficient of the analytical model was 0.991,RMSECV was 0.641,RMSEP was 0.980 and main factor 4.The analytical model was tested by analysis of 15 typical samples by the present method.Relative error of the results obtained were in the range of-2.04%-3.52%.
出处
《理化检验（化学分册）》
CAS
CSCD
北大核心
2012年第1期11-14,共4页
Physical Testing and Chemical Analysis(Part B:Chemical Analysis)
基金
国家自然科学基金资助项目(No.J0830412)
河南省重大公益科研项目(081100912500)
