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中药甘青青兰提取过程的近红外及紫外可见双光谱在线监测

张文婷 王凯君 路亚梅 杨吴烨 熊訚然 吴琼 杜一平

分析测试学报2024,Vol.43Issue(5):746-754,9.
分析测试学报2024,Vol.43Issue(5):746-754,9.DOI:10.12452/j.fxcsxb.23120845

中药甘青青兰提取过程的近红外及紫外可见双光谱在线监测

Near Infrared and Ultraviolet-Visible Dual-spectrum Online Monitor-ing of the Extraction Process of Chinese Medicine Dracocephalum Tanguticum Maxim

张文婷 1王凯君 1路亚梅 2杨吴烨 1熊訚然 1吴琼 1杜一平1

作者信息

  • 1. 华东理工大学 化学与分子工程学院,上海市功能材料化学重点实验室,上海 200237
  • 2. 上海海关工业品中心,上海 200135
  • 折叠

摘要

Abstract

An online monitoring system of near infrared spectrum(NIR)and ultraviolet-visible spec-troscopy(UV-Vis)is constructed using small optical fiber spectrometers,and the spectra are online collected with the system.After a spectrum collection,the sample is sent back into the extraction container to avoid the loss of the extraction liquid,and the pipeline is cleaned with the backward flow to prevent the pipeline from clogging.The extraction process is monitored by the dual-spectrum sys-tem to improve the acquisition of spectral information.Sampling error profile analysis(SEPA)and sta-bility competitive adaptive reweighted sampling(SCARS)and other chemometric methods are used for the spectral process and model establishment.The analytical performances of NIR spectroscopy,UV-Vis spectroscopy and dual-spectrum fusion models are compared.The results show that the NIR spectral model of luteolin and the UV-Vis model of chlorogenic acid are better.The predicted root-mean-square error(RMSEP)of luteolin model is 0.0107 µg·mL-1,and that of chlorogenic acid model is 0.0295 mg·mL-1.The system developed in this study is simple,rapid and has high model accuracy,which provides a new strategy for online monitoring of Chinese medicine extraction.

关键词

双光谱监测/NIR/UV-Vis/在线监测/中药/甘青青兰/木犀草素/绿原酸

Key words

dual-spectrum monitoring/NIR/UV-Vis/online monitoring/Chinese medicine/Dracocephalum tanguticum Maxim/luteolin/chlorogenic acid

分类

化学化工

引用本文复制引用

张文婷,王凯君,路亚梅,杨吴烨,熊訚然,吴琼,杜一平..中药甘青青兰提取过程的近红外及紫外可见双光谱在线监测[J].分析测试学报,2024,43(5):746-754,9.

分析测试学报

OA北大核心CSTPCD

1004-4957

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