近红外光谱技术在川麦冬原位检测中的应用研究  

Research on Application of Near Infrared Spectroscopy in Situ Detection of Sichuan Ophiopogon Japonicus

作　　者：杨向春 陈丽芳 王浩伟 臧恒昌 郭学平[1,4] 聂磊 YANG Xiang-chun;CHEN Li-fang;WANG Hao-wei;ZANG Heng-chang;GUO Xue-ping;NIE Lei(School of Pharmacy,Qilu Medical College,Shandong University,Jinan 250012,China;National Sugar Engineering and Technology Research Center,Shandong University,Jinan 250012,China;Key Laboratory of Chemical Biology,Ministry of Education,Shandong University,Jinan 250012,China;Bloomage Biotechnology Corporation Limited,Jinan 260000,China;Key Laboratory of State Drug Administration of Technical Research and Evaluation of Pharmaceutical Preparations,Jinan 250012,China)

机构地区：[1]山东大学齐鲁医学院药学院,山东济南250012 [2]山东大学国家糖工程技术研究中心,山东济南250012 [3]山东大学化学生物学教育部重点实验室,山东济南250012 [4]华熙生物科技股份有限公司,山东济南260000 [5]“药物制剂技术研究与评价”国家药品监督管理局重点实验室,山东济南250012

出　　处：《分析测试学报》2023年第8期943-951,共9页Journal of Instrumental Analysis

基　　金：山东省重点研发计划项目(2021CXGC010507,2022CXGC020515,2021CXGC010511);药品全生命周期孪生数字系统建设项目(1310022049)。

摘　　要：原药材检测费时费力一直是川麦冬质量分析中亟待解决的问题。该文将近红外光谱分析技术应用于川麦冬原药材的质量分析,以漫反射模式对麦冬颗粒进行无损原位检测后,采用光谱预处理方法减少因粒径造成的干扰,通过变量筛选方法提取有效信息,最终建立了快速定量分析模型。结果表明,水分、浸出物和总皂苷含量模型的验证均方根误差(RMSEP)分别为0.1655%、0.4019%、0.0784%,验证集决定系数(R_(val)^(2))分别为0.9651、0.6965、0.8036,相对分析误差(RPD)分别为4.50、2.68、2.22,3个质量指标的RPD均大于2,说明模型性能较好,能够满足川麦冬质量分析的要求。该法通过近红外光谱技术采集川麦冬颗粒的原位光谱,避免了粉碎,真正意义上实现了川麦冬无损、绿色、快速的含量分析,为川麦冬的质量分析提供了参考。Sichuan Ophiopogon japonicus is an important medicine and is widely used in clinic as it has the effects of nourishing yin and nourishing fluid,moistening lung and clearing heart.However,time-consumption and no on-site detection of the original medicinal material have always been the urgent prob-lems to solve in its quality analysis.In this paper,near infrared spectroscopy was applied to the quality analysis of Sichuan Ophiopogon japonicus.Different grades of Sichuan Ophiopogon japonicus were col-lected,and the content data of water,extract and total saponins were determined by segmented experi-ment.In-situ and non-destructive detection of Sichuan Ophiopogon japonicus granules was performed by diffuse reflectance mode,and its near infrared spectra were collected.Meanwhile,different spectral pretreatment methods were used to deal with the spectrum in order to reduce the interference caused by particle size to the spectrum.The best pretreatment methods for moisture,extract and total saponins were multivariate scattering correction combined with standardization,multivariate scattering correction combined with first-order derivative,SG smoothing and mean center,respectively.Moreover,the vari-able screening method was used to extract the effective information in the spectrum,the best band screen-ing method for moisture was piecewise random frog,and the best band selection method for extract and to-tal saponins was variable importance projection.Finally,the model was established according to the opti-mal pretreatment method and the optimal variable screening method.The root mean square errors(RM-SEP)of the model for moisture,extract and total saponins were 0.1655%,0.4019%and 0.0784%,respectively,and the determination coefficients for validation(R_(val)^(2))were 0.9651,0.6965 and 0.8036,respectively.The relative percent deviations(RPDs)were 4.50,2.68 and 2.22,respec-tively.The RPDs for the three quality indicators were all greater than 2,indicating that the performance of the model was good,and the model built in this p

关 键 词：川麦冬 近红外光谱 质量分析 原位检测 水分 浸出物 总皂苷 

分 类 号：O657.3[理学—分析化学] R284[理学—化学]