Rapid Evaluation of Anti inflammatory Efficacy of Angelica sinensis(Oliv.) Diels by Near Infrared Spectroscopy Based on Quality Markers

闫孟琳; 丛龙飞; 张子玥; 姜民; 聂磊; 白钢

doi:doi：10.3969/j.issn.1004-4957.2020.11.002

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Rapid Evaluation of Anti inflammatory Efficacy of Angelica sinensis(Oliv.) Diels by Near Infrared Spectroscopy Based on Quality Markers

更新时间：2023-04-18

- Rapid Evaluation of Anti inflammatory Efficacy of Angelica sinensis(Oliv.) Diels by Near Infrared Spectroscopy Based on Quality Markers
- Vol. 39, Issue 11, Pages: 1320-1326(2020)
- 作者机构：
  
  1. 南开大学药学院药物化学生物学国家重点实验室
  2. 山东大学药学院
- 作者简介：
- 基金信息：
- DOI：doi：10.3969/j.issn.1004-4957.2020.11.002
  CLC：
- Published：2020
- 稿件说明：
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闫孟琳, 丛龙飞, 张子玥, 姜民, 聂磊, 白钢. Rapid Evaluation of Anti inflammatory Efficacy of Angelica sinensis(Oliv.) Diels by Near Infrared Spectroscopy Based on Quality Markers[J]. 2020, 39(11): 1320-1326.
DOI：

闫孟琳, 丛龙飞, 张子玥, 姜民, 聂磊, 白钢. Rapid Evaluation of Anti inflammatory Efficacy of Angelica sinensis(Oliv.) Diels by Near Infrared Spectroscopy Based on Quality Markers[J]. 2020, 39(11): 1320-1326. DOI： doi：10.3969/j.issn.1004-4957.2020.11.002.

摘要

该文通过筛选当归中对NF-κB具有抑制活性的质量标志物(Q-marker)，建立了一种利用近红外光谱技术(NIRS)快速评价当归抗炎功效的方法。采用UPLC/Q-TOF技术结合NF-κB双荧光素酶报告基因对当归中具有NF-κB抑制活性的成分进行筛选，并通过单体、整体及等效性验证确立了关键Q marker。以UPLC分别对多批当归药材中的Q-marker进行含量测定，建立其NIRS定量模型，并进一步将Q-marker的含量与当归的NF-κB抑制活性相关联，构建“量-效”拟合函数。结果表明，绿原酸(X1)、洋川芎内酯I(X3)和Z-藁本内酯(X4)为NF-κB抑制活性的关键Q-marker，其含量波动与整体抗炎活性(Y)的变化相吻合，符合拟合方程：Y=16.13-1484X1+7.981X3+0.112 6X4，且基于NIRS的预测效果良好。该方法通过整合分析实现了基于关键Q-marker的当归药材抗炎功效的快速评价，为中药材品质的快速分析提供了新的研究范式和解决方案。

Abstract

By screening the quality markers(Q-markers) of NF-κB inhibitory active ingredients

a method of near infrared spectroscopy(NIRS) was established for the rapid evaluation of anti inflammatory effect of Angelica sinensis(AS).The NF-κB inhibitory active ingredients in AS were screened by UPLC/Q-TOF combined with NF-κB double luciferase reporter gene assay system.To establish the Q-markers

the inhibitory effects were further evaluated using active ingredients

AS extract and equivalence verification.The Q-markers in multi batches of AS were quantitatively analyzed by UPLC and NIRS

and then the NIRS fitting algorithm was established.Meanwhile

the relationship between NF-κB inhibitory holistic activity of AS extract and the content of Q-markers was investigated.Finally

the prediction model for anti-inflammatory efficacy of AS was constructed based on Q-markers check analysis via NIRS technique.The screening results showed that chlorogenic acid(X1)

senkyunolide I(X3) and Z-ligustilide(X4) in AS had significant NF-κB inhibitory effects

and the change of content was consistent with the capacity of NF-κB inhibitory action of AS extracts

which satisfied the following functions:Y=16.13-14.84X1+7.981X3+0.112 6X4.In addition

the measured values from NIRS simulation method for the Q-markers detection showed a good correlation with the predicted values.The developed method realized the rapid evaluation on the anti-inflammatory effects of AS based on Q-markers

and provided a new research paradigm and solution for the rapid quality evaluation of traditional Chinese medicine.

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