摘要
目的基于高效液相色谱、近红外光谱(near infrared spectroscopy,NIRS)及多变量数据处理技术,提出了一种桂枝茯苓丸混合粉末质量快速分析方法,并用于预测桂枝茯苓丸混合粉末中肉桂酸和丹皮酚的含量。方法以高效液相色谱法作为肉桂酸和丹皮酚含量测定的参照方法,使用偏最小二乘回归法建立桂枝茯苓丸混合粉末近红外光谱与肉桂酸、丹皮酚含量之间的多元校正模型,并以15批外部验证集样本对模型性能进行评价。结果偏最小二乘回归法建立的模型相关系数可达0.99,外部验证集的相关系数也高于0.92。结论该方法准确、稳健、快速,适用于桂枝茯苓丸混合粉末质量的快速评价。
Objective A rapid analysis method based on high performance liquid chromatography(HPLC),near infrared spectroscopy(NIRS)and multivariable data analysis was established for quality evaluation of Guizhifulingwan Mixture.The contents of active ingredients of Guizhifulingwan Mixture including cinnamic acid and paeonol were simultaneously detected by using this method.Methods NIRS HPLC was used as a reference method for determining the contents of cinnamic acid and paeonol.Partial least squares(PLS)analysis was implemented as a linear method for multivariate models calibrated between NIR spectrum and contents of cinnamic acid and paeonol.Finally,the performance of the model was evaluated by 15 batches of test samples.Results The results showed that NIR models gave a good calibration ability with an R_(2) value above 0.99,and the prediction ability was also satisfactory with an R_(2) value higher than 0.92.Conclusion The overall results demonstrate that the established method is accurate,robust and fast,therefore,it can be used for rapid quality evaluation of Guizhifulingwan Mixture.
作者
李娇娇
武晓玉
边惠琴
李洋
夏鹏飞
赵磊
魏舒畅
LI Jiao-jiao;WU Xiao-yu;BIAN Hui-qin;LI Yang;XIA Peng-fei;ZHAO Lei;WEI Shu-chang(School of Pharmacy,Gansu University of Chinese Medicine,Lanzhou Gansu 730000,China;Gansu Engineering Research Center for Chinese Medicine Pharmaceutical Technology,Lanzhou Gansu 730000,China;Key Laboratory of Chemistry and Quality for TCM of Colleges of Gansu Province,Lanzhou 730000,China)
出处
《时珍国医国药》
CAS
CSCD
北大核心
2022年第10期2404-2408,共5页
Lishizhen Medicine and Materia Medica Research
基金
国家自然科学基金(82160457)
甘肃省中药制药工艺工程研究中心2020年度开放课题(ZYGY202002)。
关键词
桂枝茯苓丸
近红外光谱
快速分析技术
肉桂酸
丹皮酚
Guizhifulingwan
Near infrared spectroscopy
Rapid analysis technology
Cinnamic acid
Paeonol