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在线筛选天然抗氧化剂及对菊花提取物抗氧化活性的预测。

On-line screening of natural antioxidants and the antioxidant activity prediction for the extracts from flowers of Chrysanthemum morifolium ramat.

机构信息

College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.

Anhui Institute for Food and Drug Control, Hefei, 230051, China.

出版信息

J Ethnopharmacol. 2022 Aug 10;294:115336. doi: 10.1016/j.jep.2022.115336. Epub 2022 May 12.

Abstract

ETHNOPHARMACOLOGY RELEVANCE

Chrysanthemum morifolium Ramat. (Flos Chrysanthemi, FC) the most economically significant "food and drug dual-use" plants, with positive effects on relieving eye fatigue, and reduce internal heat, shows significant activities, such as anti-inflammatory, antioxidant, and neuroprotective, as well as alleviating diabetes effects.

AIM OF THE STUDY

This study was undertaken to a screening of natural antioxidants in five kinds of medicinal FC and development of an integrated quality control method based on the antioxidant activity.

MATERIALS AND METHODS

A novel quality control method for FC was established by combining the on-line HPLC-DPPH, ESI-MS, and NIR spectra analysis. Firstly, the on-line HPLC-DPPH-MS system was employed to identify the antioxidants in FC extracts. Then, the relationship between the NIR spectra and antioxidant activities of FC samples was calibrated to evaluate the total antioxidant capacity of FC rapidly.

RESULTS

The established antioxidant activity-fingerprints contain both chemical information and antioxidant activity characteristics of FC. A total of 16 antioxidants were identified by on-line HPLC-ESI-MS analysis. The results of heat map analysis and cluster analysis showed that the classification method based on antioxidants in FC can be used to identify different cultivars of FC. The optimal pretreatment of the NIR spectra was determined to be row center (RC) 1st der + multiple-scatter correction (MSC) with an optimal LV value of 11. The developed spectral-antioxidant activity model had the excellent predictive ability and was successfully used to evaluate new batches of FC samples, where R = 0.9445 and R = 0.8821.

CONCLUSIONS

This comprehensive strategy may prove to be a powerful technique for the rapid screening, identification, and activity prediction of antioxidants, which could be used for the quality control of FC, and can serve as reference for design of quality control of other herbs and foods samples.

摘要

草药学相关性

菊花(Flos Chrysanthemi,FC)是最具经济意义的“药食两用”植物之一,具有缓解眼睛疲劳、降低内热的功效,表现出显著的抗炎、抗氧化和神经保护作用,以及缓解糖尿病的作用。

研究目的

本研究旨在对五种药用 FC 中的天然抗氧化剂进行筛选,并建立一种基于抗氧化活性的综合质量控制方法。

材料与方法

采用在线 HPLC-DPPH、ESI-MS 和 NIR 光谱分析相结合的方法建立了一种新的 FC 质量控制方法。首先,采用在线 HPLC-DPPH-MS 系统鉴定 FC 提取物中的抗氧化剂。然后,建立了 FC 样品近红外光谱与抗氧化活性之间的关系,以快速评价 FC 的总抗氧化能力。

结果

所建立的抗氧化活性指纹图谱包含了 FC 的化学信息和抗氧化活性特征。通过在线 HPLC-ESI-MS 分析鉴定出 16 种抗氧化剂。热图分析和聚类分析结果表明,基于 FC 中抗氧化剂的分类方法可用于鉴别不同品种的 FC。确定了近红外光谱的最佳预处理方法为行中心化(RC)1 阶导数+多次散射校正(MSC),最佳 LV 值为 11。所建立的光谱-抗氧化活性模型具有优异的预测能力,并成功应用于新批次 FC 样品的评价,其 R²值为 0.9445 和 R²值为 0.8821。

结论

该综合策略可能被证明是一种快速筛选、鉴定和活性预测抗氧化剂的强大技术,可用于 FC 的质量控制,并可作为其他草药和食品样品质量控制设计的参考。

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