摘要
目的:建立一种快速测定盾叶薯蓣中伪原薯蓣皂苷含量的方法。方法:首先扫描76份盾叶薯蓣样本的近红外光谱(NIRS)图,通过对光谱预处理方法及建模波段的考察,选择标准归一化+一阶导数作为最优光谱预处理方法,10118.36～4007.37cm-1为建模最佳波段。在此基础上,以高效液相色谱(HPLC)法测定的伪原薯蓣皂苷的含量为参考值,结合偏最小二乘法(PLS)建立NIRS与HPLC分析值之间的定量分析模型。结果:所建模型具有良好的预测能力(r=0.97596),内部交叉验证均方差为0.16975,预测均方差为0.0896。结论:利用NIRS技术可以快速、准确地测定盾叶薯蓣中伪原薯蓣皂苷的含量。
OBJECTIVE： To establish a rapid method for the content determination of pseudoprodioscin in Dioscorea zingiberensis. METHODS： Near infrared reflectance spectroscopy （NIRS） of 76 D. zingiberensis samples were scanned firstly, By investigating the pretreatment methods and modeling band, the best preconditioning was the standard normalization＋first derivative and the best modeling band was 10 118.36-4 007.37 cm ^-1. On the basis, using the content of pseudoprodioscin determined by HPLC as reference, the quantitative analysis model for pseudoprodioscin by NIRS and HPLC method was established with PLS. RESULTS： The quantitative analysis models had good forecasting ability （r=0.975 96）, and the root-mean-square error cross-validation （RMSECV） and root-mean-square error of prediction （RMSEP） were 0.169 75 and 0.089 6, respectively. CONCLUSION： NIRS can determinate the content of pseudoprodioscin in D. zingiberensis rapidly and correctly.
出处
《中国药房》
CAS
CSCD
2013年第15期1396-1399,共4页
China Pharmacy
基金
河南省教育厅自然科学研究计划资助项目(No.2011A360021)
河南省高等学校青年骨干教师资助计划项目(No.2010GGJS-134)
关键词
近红外光谱技术
盾叶薯蓣
伪原薯蓣皂苷
含量测定
Near infrared reflectance spectroscopy
Dioscorea zingiberensis
Pseudoprodioscin
Content determination
