[1]何倩梅 林坤河 朱运锐 贤英越.三七提取液中三七皂苷R1近红外在线检测方法构建[J].大众科技,2021,23(3):23-26.
　Construction of Near Infrared Online Detection Method for Notoginsenoside R1 in Panax Notoginseng Extract[J].Popular Science & Technology,2021,23(3):23-26.
点击复制

三七提取液中三七皂苷R1近红外在线 检测方法构建()
分享到：

《大众科技》[ISSN:1008-1151/CN:45-1235/N]

卷:
23
期数:
2021年3
页码:
23-26
栏目:
出版日期:
2021-03-20

文章信息/Info

Title:
Construction of Near Infrared Online Detection Method for Notoginsenoside R1 in Panax Notoginseng Extract
作者:
何倩梅 林坤河 朱运锐 贤英越
（广西中恒创新医药研究有限公司，广西 南宁 530000）
关键词:
三七皂苷R1; 提取过程; 近红外光谱; 定量检测
Keywords:
panax notoginseng saponin R1 extraction process near infrared spectrum quantitative detection
文献标志码:
A
摘要:
目的：建立测定三七总皂苷提取液中三七皂苷R1含量的近红外光谱快速分析方法，实现三七提取过程质量的稳定监控。方法：以HPLC法测定值作为参比，采用近红外透射光谱法，结合一阶导数（FD）预处理方法建立三七提取过程三七皂苷R1含量的质控指标的快速定量分析模型。结果：三七提取液三七皂苷R1校正模型的校正集的相关系数R2C= 99.41，预测集的相关系数R2V= 99.94，预测均方差和交叉验证均方差分别为0.0493和0.0871。结论：近红外光谱分析技术可作为一种三七提取过程三七皂苷R1含量的在线分析方法。
Abstract:
Objective: to establish a fast near infrared spectroscopy method for the determination of panax notoginseng saponin R1 in total saponins extracted from panax notoginseng, and to realize the stable monitoring of the quality of panax notoginseng extraction. Methods: Using the measured values of HPLC method as reference, a rapid quantitative analysis model for the quality control index of Panax notoginseng saponin R1 in the extraction process of Panax notoginseng was established by using near-infrared transmission spectroscopy combined with the first-order derivative (FD) pretreatment method. Results: The correlation coefficient of calibration set of Notoginsenoside R1 calibration model was R2C = 99.41, the correlation coefficient of prediction set was R2V = 99.94, the prediction mean square deviation and cross validation mean square deviation were 0.0493 and 0.0871, respectively. Conclusion: Near infrared spectrum can be used as an online method to analyze the content of panax notoginseng saponin R1 in the extraction process of panax notoginseng.

参考文献/References:

[1] 国家药典委员会. 关于中药基本药物标准草案的公示(第五批)[Z]. 北京: 国家药典委员会中药标准处，2011. [2] Xue J H, Wang C J. Dynamic prediction models for aikaloid content using NIR technoiogy fur the study and online analysis of parching in areca seed[J]. Food Chemistry, 2011(126): 725-730. [3] Rutan S C, de Noord O E, Andrea R R. Characterization of the sources of variation affecting near-infrared spectroscopy using chemometric methods[J]. Analytical Chemistry, 1998(70): 3198-3201. [4] Leardi R, Lupianez Gonzalez A. Genetic algorithms applied to feature selection in PLS REGRESSION: how and when to use them[J]. Chemometrics and Intelligent Laboratory Systems, 1998(41): 195-207. [5] Shariati-Rad M, Hasani M. Selection of individual variables versus intervals of variables in PLSR[J]. Journal of Chemometrics, 2010(24): 45-56. [6] 陆婉珍. 现代近红外光谱分析技术(第二版)[M]. 北京: 中国石化出版社，2006. [7] 褚小立，袁洪福，陆婉珍. 近红外分析中光谱预处理及波长选择方法进展[J]. 化学进展，2004，16(4): 528-543. [8] 尼珍，边巴卓玛，阿萍. 近红外光谱快速分析含甘油开塞露的含量[J]. 药物分析杂志，2013，33(3): 511-513.

备注/Memo

备注/Memo:
【收稿日期】2021-01-15 【作者简介】何倩梅，广西中恒创新医药研究有限公司助理工程师，质量分析研究员。 【通信作者】林坤河，广西中恒创新医药研究有限公司助理工程师，工艺研究员。
更新日期/Last Update: 2021-05-31