National Glycoengineering Research Center and College of Pharmacy, Shandong University, 250012 Jinan, China.
J Pharm Biomed Anal. 2010 Apr 6;51(5):1060-3. doi: 10.1016/j.jpba.2009.11.022. Epub 2009 Dec 1.
Potency is an important parameter for evaluation of quality of heparin active pharmaceutical ingredient (API). In this paper the feasibility to determine potency of heparin API with near infrared reflectance spectroscopy (NIRS) coupled with partial least squares (PLS) algorithm is attempted. PLS factors, correlation coefficient of calibration set (R(c)), the root mean square of cross-validation (RMSECV), correlation coefficient of prediction set (R(p)) and the root mean square of prediction (RMSEP) were used to evaluate the performance of the models. The optimal calibration model was obtained with R(p)=0.9721 and RMSEP=0.55 in the 1700-1898nm spectral region when using SG-1st derivative spectral transform method and division of calibration/prediction samples was 1/1. Three other additional samples demonstrated good prediction capability of the final model and three validation samples gave good repeatability result. NIRS has the potential to be a final lot release test to be performed in a QC laboratory.
效价是评价肝素原料药（API）质量的一个重要参数。本文尝试用近红外反射光谱法（NIRS）结合偏最小二乘法（PLS）算法来测定肝素 API 的效价。采用偏最小二乘法因子、校准集相关系数（R(c)）、交叉验证均方根（RMSECV）、预测集相关系数（R(p)）和预测均方根（RMSEP）来评价模型的性能。当采用 SG-1 阶导数光谱变换法，且校准/预测样品的划分比为 1/1 时，在 1700-1898nm 光谱区域获得了最佳的校准模型，其 R(p)=0.9721，RMSEP=0.55。另外三个附加样本显示了最终模型的良好预测能力，三个验证样本的结果也具有良好的重复性。NIRS 有可能成为 QC 实验室进行的最终放行检验方法。
