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基于便携式近红外光谱仪的土茯苓配方颗粒一致性评价及定量分析方法

Consistency evaluation and quantitative analysis of Smilax glabra formula granules based on portable near infrared spectrometer
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摘要 目的:建立土茯苓配方颗粒一致性评价及指标成分落新妇苷含量的快速测定方法。方法:基于便携式近红外光谱仪,使用软件OMNIC建立一致性评价模型;结合偏最小二乘法(PLS)、支持向量回归(SVR)建立落新妇苷定量模型。结果:55批土茯苓配方颗粒指纹图谱特征相似,相似度为0.992 8~0.999 6;落新妇苷PLS和SVR定量模型预测集相关系数(R_(P))分别为0.848 3、0.899 0,预测均方根误差(RMSEP)分别为1.809、1.481。结论:本研究基于便携式近红外光谱仪建立了土茯苓配方颗粒的快速评价方法,所建模型可无损、快速地预测指标成分含量,为土茯苓配方颗粒的质量控制提供一定的参考依据。 Objective:To establish a rapid detection method of consistency evaluation and astilbin content as an index component for Smilax glabra formula granules.Methods:Based on portable near infrared spectrometer the consistency evaluation model was established by using software OMNIC,and a quantitative model of astilbin was established by combining partial least squares (PLS) and support vector regression (SVR).Results:The fingerprint characteristics of 55 batches of Smilax glabra formula granules were similar,and the similarity was0.9928-0.9996.The PLS and SVR quantitative models of astilbin showed that the correlation coefficient (R_(P)) of prediction set was 0.8483 and 0.8990,respectively,and the root mean square error of prediction (RMSEP) was1.809 and 1.481,respectively.Conclusion:Based on portable near infrared spectrometer,a rapid evaluation method of Smilax glabra formula granules is established in this study.The established model can predict the content of index components quickly and non-destructively,which provides some reference for the quality control of Smilax glabra formula granules.
作者 钟欣瑜 秦鑫 韦锦斌 韦红言 叶善洋 苏志恒 梁永红 ZHONG Xinyu;QIN Xin;WEI Jinbin;WEI Hongyan;YE Shanyang;SU Zhiheng;LIANG Yonghong(College of Pharmacy,Guangxi Medical University,Nanning 530021,China;Peili Nanning Pharmaceutical Co.,Ltd.,Nanning 530007,China)
出处 《广西医科大学学报》 CAS 2024年第4期590-597,共8页 Journal of Guangxi Medical University
基金 国家自然科学基金地区项目(No.82060763) 广西科技重大专项资助项目(No.2022JBGS042)。
关键词 近红外光谱 土茯苓配方颗粒 落新妇苷 一致性评价 定量分析 near infrared spectroscopy Smilax glabra formula granules astilbin consistency evaluation quantitative analysis
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