摘要
目的:应用近红外光谱法建立一种逍遥丸(浓缩丸)中水分含量的快速测定方法。方法:利用烘干法测定样品中水分含量,并以其作为参考值,运用偏最小二乘法(PLS)建立水分含量与近红外光谱之间的多元校正模型,对未知样品进行含量预测。结果:所建水分定量分析模型的相关系数(R2),校正均方差(RMSEC),预测均方差(RMSEP)分别为0.953 52,0.132,0.177。结论:方法操作简便,无污染,结果准确可靠,可用于逍遥丸(浓缩丸)中水分含量的快速测定。
Objective： To establish a rapid analytical method for moisture in Xiaoyao pills （condensed） by near-infrared spectroscopy. Method： The near-infrared spectral data of 97 samples were collected by Nicolet 6700 NIR spectroradiometer, and the data of moisture content were obtained by oven-drying method. Then, the multivariate calibration model for moisture was established by patrical least square （PLS） with oven-drying method analysis values as reference, and predicting the moisture content of unknow samples. Result： The correlation coefficients （R2） of the quantitative calibration model for moisture was 0. 953 52, the root-mean-square error of calibration （RMSEC） was 0. 132, the root-mean-square error of prediction （RMSEP） was 0. 177. Conclusion： The method is simple, non-polluted, accurate, which could be applied for the fast determination of moisture in Xiaoyao pills （condensed）.
出处
《中国实验方剂学杂志》
CAS
北大核心
2013年第19期132-135,共4页
Chinese Journal of Experimental Traditional Medical Formulae
基金
河南省重大公益科研项目(081100912500)
河南省杰出人才项目(084200510017)
关键词
近红外光谱法
偏最小二乘法
逍遥丸（浓缩丸）
水分
快速测定
near-infrared spectroscopy
partial least square
xiaoyao pills （condensed）
moisture
rapiddetermination
