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近红外光谱技术快速测定参枝苓口服液醇沉过程中的5种指标成分 被引量:11

Rapid monitoring five components of ethanol precipitation process of Shenzhiling oral solution using near infrared spectroscopy
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摘要 建立一种运用近红外光谱技术快速测定参枝苓口服液醇沉工艺过程中芍药苷、芍药内酯苷、甘草苷、肉桂酸、甘草酸5种指标成分含量的方法。以高效液相色谱法为参考方法,比较了不同光谱预处理方法和波段选择方法对定量分析模型结果的影响,运用偏最小二乘回归法建立了参枝苓口服液醇沉工艺过程中5种成分的定量分析模型。醇沉工艺过程中芍药苷、芍药内酯苷、甘草苷、肉桂酸、甘草酸5种成分近红外定量分析模型评价参数Rcal2,Rpred2,RMSEC,RMSEP,RPD分别为:芍药苷0.993 3,0.997 6,0.084 9 g·L^(-1),0.073 3 g·L^(-1),14.7;芍药内酯苷0.991 4,0.992 7,0.028 1 g·L^(-1),0.030 5 g·L^(-1),10.2;甘草苷0.955 3,0.976 1,0.012 0 g·L^(-1),0.012 3 g·L^(-1),5.1;肉桂酸0.958 8,0.990 3,0.003 89 g·L^(-1),0.002 89 g·L^(-1),7.1;甘草酸0.982 0,0.986 3,0.053 8 g·L^(-1),0.059 0 g·L^(-1),7.2。该方法能够实现参枝苓口服液醇沉工艺过程中多组分含量快速检测,实时监控生产过程,保证生产质量。 To develop a method for the rapid monitoring of five components during the alcohol precipitation process of Shenzhiling oral solution using near infrared spectroscopy( NIRS). The contents of five components detemined by high performance liquid chromatography( HPLC) were used as the reference values,and the NIRS based partial least square regression( PLSR) models were used to monitor the concentrations of paeoniflorin,albiflorin,liquiritin,cinnamic acid and glycyrrhizic acid during the alcohol precipitation process of Shenzhiling oral solution,which were optimized and verified through comparing of different spectral pre-processing and variables selection methods. Determination coefficients( Rcal^2 and Rpred^2),root mean squares error of prediction( RMSEP),root mean squares error of calibration( RMSEC) and ratiao of performance to deviation( RPD) were applied to evaluate the performance of the models,and the corresponding values were 0. 993 3 and 0. 997 6,0. 084 9 g·L^-1,0. 073 3 g·L^-1and 14. 7 for paeoniforin; 0. 991 4,0. 992 7,0. 028 1 g·L^-1,0. 030 5 g·L^-1and 10. 2 for albiforin; 0. 955 3,0. 976 1,0. 012 0 g·L^-1,0. 012 3 g·L^-1and 5. 1 for liquiritin; 0. 958 8,0. 990 3,0. 003 89 g·L^-1,0. 002 89 g·L^-1and 7. 1 for cinnamic acid; 0. 982 0,0. 986 3,0. 053 8 g·L^-1,0. 059 0 g·L^-1,7. 2 for glycyrrhizic acid,respectively. The results indicated that the presented approach was effectively for the quantitative monitoring of the alcohol precipitation process of Shenzhiling oral solution.
作者 李彤彤 胡甜 聂磊 臧立轩 曾英姿 臧恒昌 LI Tong-tong HU Tian NIE Lei ZANG Li-xuan ZENG Ying-zi ZANG Heng-chang(School of Pharmaceutical Sciences, Shandong University, Ji'nan 250012, China Shandong Wohua Pharmaceutical Technology Co. , Ltd, Weifang 261205, China)
出处 《中国中药杂志》 CAS CSCD 北大核心 2016年第19期3543-3550,共8页 China Journal of Chinese Materia Medica
基金 山东大学基本科研项目(2015YQ010)
关键词 近红外光谱技术 参枝苓口服液 偏最小二乘回归 高效液相色谱 醇沉工艺过程 near infrared spectroscopy Shenzhiling oral solution partial least squares regression high performance liquid chromatography alcohol precipitation process
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