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作 者:刘雪松[1] 陈佳善 陈国权[1] 邵平 吴永江[1]
机构地区:[1]浙江大学药学院,现代中药研究所,浙江杭州310058 [2]国家中成药工程技术研究中心,辽宁本溪117000
出 处:《药学学报》2017年第3期462-467,共6页Acta Pharmaceutica Sinica
基 金:国家重大新药创制专项资助项目(2012ZX09201201-001)
摘 要:本研究旨在通过近红外光谱法与自动化控制系统的结合,实现感冒灵浓缩过程中的多个关键性指标的在线检测。在感冒灵颗粒浓缩设备上安装在线检测系统,采集过程样品光谱,测定样品中绿原酸含量、蒙花苷含量、固含量和相对密度,建立偏最小二乘法模型,将模型导入近红外光谱工作站,通过与控制系统的连接,实时地自动检测浓缩过程中药液各关键性指标。结果显示,绿原酸含量、蒙花苷含量、固含量和相对密度4个指标的模型相关系数分别为0.963、0.989、0.993和0.918,预测偏差分别为3.71%、4.28%、4.17%、0.24%。模型性能较好,能对样品进行准确定量,系统能成功实现整个浓缩过程的实时检测,并在控制系统显示数据。本近红外光谱检测系统能在感冒灵颗粒生产浓缩过程中对关键性指标进行自动化实时检测,对过程质量监测具有实际意义。Our research was designed for on-line detection of multi-index in the concentration process of Ganmaoling granules by integration of near infrared spectroscopy and automatic control system. First, on-line detection system was set up in the concentration tank for Ganmaoling granules production. Spectra were scanned and values of chlorogenic acid, linarin, solid content and relative density were measured. Models of partial least squares regression were built and imported into near infrared workstation. By connecting the control system, real-time multi-index values were determined automatically in the concentration process. Results showed that correlation coefficients of chlorogenic acid, linarin, solid content and relative density models were 0.963, 0.989, 0.993 and 0.918, respectively. Relative standard errors of prediction were 3.71%, 4.28%, 4.17% and 0.24%, respectively, indicating a good performance and high accuracy of the models. Real-time data collection during the whole process was measured by the near infrared detecting system in the control system. In conclusion, the near infrared detection system is able to perform real-time automatic determination of multi- index in the concentration process of Ganmaoling granules with significant advantages.
关 键 词:近红外光谱法 自动化控制系统 感冒灵颗粒 过程分析技术
分 类 号:R917[医药卫生—药物分析学]
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