摘要
目的:探索微型近红外光谱仪在中药材有效成分研究方面的可行性。方法:以JDSU公司生产的Micro NIR-1700微型近红外光谱仪为基础,以桔梗药材为例,采用多种光谱预处理方法,结合偏最小二乘法,建立桔梗皂苷D的定量校正模型,并对验证样本进行含量预测。结果:根据交叉验证的标准误差(SECV)选择最佳模型维数(LV)为8,校正模型的R2为0.9563。验证集外部验证的结果与真实值之间的相关系数R2为0.94。结论:该微型光谱仪在中药材主要成分研究方面具有应用的可行性,为该便携式微型近红外光谱仪的推广使用奠定了基础。
Objective： To explore the feasibility of miniature near-infrared spectroscopy in the study of effective components of traditional Chinese medicine. Methods： To JDSU company micro NIR-1700 miniature near-infrared spectrometer manufactured by JDSU Corporation as the basis, Platycodon grandiflora for example. In a variety of spectral pre-processing method combined with Partial Least Squares, the establishment of the residues of soap D quantitative calibration model and to verify that the content of the sample. Results： In accordance with the standard error of crossvalidation（SECV） Choose the best model Dimension（LV） is 8, the calibration model of R2 to 0.9563. Verify that the external validation of the results with the real value of the correlation coefficient R2 of 0.94. Conclusion： The miniature spectrometer has the feasibility of application in the research of effective components of Chinese medicinal materials.This research lays the foundation for the promotion and application of portable miniature near-infrared spectrometers.
作者
张湘东
马晋芳
罗娟敏
葛发欢
肖雪
Zhang Xiangdong;Ma Jinfang;Luo Juanmin;Ge Fahuan;Xiao Xue(Nansha Research Institute,Sun Yat-Sen University,Guangzhou 511458,China;School of Pharmaceutical Sciences,Sun Yat-Sen University,Guangzhou 510006,China;Jiangxi Zhongyan Industrial Co.,Ltd.Technology R＆D Center,Nanchang 330006,China;Guangdong Pharmaceutical University,Guangzhou 510006,China;Guangzhou Sun Yat-Sen Nansha Technology Innovation Industrial Institute Co.Ltd,Guangzhou 511458,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2018年第5期637-643,共7页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
广州市科技创新委员会珠江科技新星专项(201610010113):中药生产过程在线近红外光谱检测关键技术研究
负责人:肖雪
关键词
微型近红外光谱仪
桔梗皂苷D
快速测定
Micro near-infrared spectrometer
platycodin-D
rapid determination
