吉林大学学报（理学版）Issue(6)：1325-1330,6.DOI:10.13413/j.cnki.jdxblxb.2014.06.42
基于短波近红外光谱盐酸氟桂利嗪粉末药品质量比的估算方法
Mass Ratio Determination of Compound Flunarizine Hydrochloride Powder Drug Baseed on Short-Wave Near-Infrared Diffuse Reflectance Spectral Data
摘要
Abstract
A new method for the nondestructive quantitative prediction of flunarizine hydrochloride powder drug based on short-wave near-infrared (SW-NIR)diffuse reflectance spectral data.With the analytical data of high performance liquid chromatography (HPLC)taken as the reference value,a quantitative analysis model for describing the relationship between the spectral characteristic and component was established via combining genetic algorithm (GA)with neural networks.The neural network topological framework was constructed automatically by means of GA.The optimal network parameters and spectral region were selected. Moreover, the influences of different spectral preprocessing methods to the prediction ability of neural network were discussed.The mass ratio of the test sample was predicted.The results of the experiment show that the first-derivative spectrum is the optimal pretreatment method of modeling,by which the root-mean-square-errors (RMSE)for test set was 0.1 98 7%,and the correlation coefficients R for test set was 0.986 3.关键词
短波近红外光谱/漫反射/神经网络/遗传算法/盐酸氟桂利嗪Key words
short-wave near-infrared spectroscopy/diffuse reflectance/neural networks/genetic algorithm/flunarizine hydrochloride分类
化学化工引用本文复制引用
曲楠,朱明超,窦森..基于短波近红外光谱盐酸氟桂利嗪粉末药品质量比的估算方法[J].吉林大学学报（理学版）,2014,(6):1325-1330,6.基金项目
国家自然科学基金(批准号:41171188) （批准号:41171188）
