[近红外光谱结合自动控制系统在线检测感冒灵颗粒浓缩过程]。

药学学报 Pub Date : 2017-03-01
Xue-song Liu, Jia-shan Chen, Guo-quan Chen, Ping Shao, Yong-jiang Wu
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引用次数: 0

摘要

本研究采用近红外光谱与自动控制系统相结合的方法对感冒灵颗粒剂浓缩过程中的多指标进行在线检测。首先,在甘茂灵颗粒生产浓缩池中建立了在线检测系统。扫描光谱,测定绿原酸、亚麻素、固含量和相对密度。建立了偏最小二乘回归模型,并将其导入近红外工作站。通过连接控制系统,自动实时测定浓缩过程中的多指标值。结果表明,绿原酸模型、亚麻素模型、固含量模型和相对密度模型的相关系数分别为0.963、0.989、0.993和0.918。预测的相对标准误差分别为3.71%、4.28%、4.17%和0.24%,表明模型性能较好,预测精度较高。控制系统中的近红外探测系统实时采集整个过程的数据。综上所述,近红外检测系统能够实时自动测定感冒灵颗粒浓度过程中的多项指标,具有显著优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[On-line detection of concentration process of Ganmaoling granules by near infrared spectroscopy combined with automatic control system].

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 multiindex in the concentration process of Ganmaoling granules with significant advantages.

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来源期刊
药学学报
药学学报 Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
1.20
自引率
0.00%
发文量
0
期刊介绍: Acta Pharmaceutica Sinica B (APSB) is a bimonthly English peer-reviewed online journal in ScienceDirect, which publishes significant original research articles, communications and high quality reviews of recent advances. APSB encourages submissions from all areas of pharmaceutical sciences, including pharmacology, pharmaceutics, medicinal chemistry, natural products, pharmacognosy, pharmaceutical analysis and pharmacokinetics. APSB is a part of the series Acta Pharmaceutica Sinica, which was founded in 1953. The journal is co-published by Elsevier B.V., in association with the Institute of MateriaMedica, Chinese Academy of Medical Sciences and Chinese Pharmaceutical Association.
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