天然产物研究与开发 ›› 2026, Vol. 38 ›› Issue (7): 1407-1419.doi: 10.16333/j.1001-6880.2026.7.003 cstr: 32307.14.1001-6880.2026.7.003

• 研究论文 • 上一篇    下一篇

基于响应面与BP神经网络的秦岭艾草总黄酮提取工艺优化及抗氧化活性研究

宋翔宇1，2，谢娟平1，2，3*   

  1. 1上海海洋大学食品学院，上海 201306；2安康学院医学院；3秦巴中药资源开发与利用陕西省高校工程研究中心，安康 725000
  • 出版日期:2026-07-24 发布日期:2026-07-23
  • 基金资助:
    陕西省科技厅重点项目（2025QY-GJHX-55）；安康市科学家+工程师项目（2022AKKXJ-15）；陕西省高层次人才项目（2020TZJH01）；国家级大学生创新创业项目（202511397015）

Optimization of extraction process and antioxidant activity of total flavonoids from Qinling Artemisia argyi based on response surface methodology and BP neural network

SONG Xiang-yu1，2，XIE Juan-ping1，2，3*   

  1. 1College of Food Science and Technology，Shanghai Ocean University，Shanghai 201306，China;2School of Medicine，Ankang University;3Shaanxi University Engineering Center for the Development and Application of Qinba Traditional Chinese Medicine Resources，Ankang 725000，China
  • Online:2026-07-24 Published:2026-07-23

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摘要：

为探究秦岭艾草总黄酮的最佳绿色提取工艺及其抗氧化活性，以总黄酮提取量为评价指标，在单因素实验基础上，对比分析了响应面法（response surface methodology，RSM）与BP神经网络（BP neural network，BPNN）对超声辅助天然低共熔溶剂（natural deep eutectic solvents，NADES）提取参数的优化效果，并利用HPLC及体外自由基清除实验综合评定提取物的成分差异与抗氧化效能。结果显示，提取艾草总黄酮较适宜的NADES体系为甜菜碱-尿素；相较于RSM，BPNN模型展现出更优的非线性拟合与寻优能力，其预测的最佳工艺为超声温度80 ℃、摩尔比1.01∶1、含水量38%，该条件下总黄酮得率高达177.43 mg/g。成分与活性分析进一步表明，受溶剂极性选择的影响，NADES提取物中棕矢车菊素与异泽兰黄素的含量虽低于传统醇提物，但其对DPPH和ABTS自由基清除的IC50分别低至0041、0.11 mg/mL，抗氧化活性更强。本研究为秦岭艾草资源的绿色高效提取及其在天然抗氧化产品方面的开发应用提供了理论基础。

关键词: 秦岭艾草, 天然低共熔溶剂, 超声辅助提取, 响应面法, BP神经网络, 抗氧化活性

Abstract:

To investigate the optimal green extraction process and antioxidant activity of total flavonoids from Qinling Artemisia argyi，the optimization performances of response surface methodology (RSM) and BP neural network (BPNN) on ultrasound-assisted natural deep eutectic solvents (NADES) extraction parameters were comparatively analyzed based on single-factor experiments，using total flavonoid yield as the evaluation index.Furthermore，HPLC and in vitro free radical scavenging assays were employed to comprehensively evaluate the compositional differences and antioxidant efficacy of the extracts.The results indicated that betaine-urea was the most suitable NADES system.Compared with RSM，the BPNN model demonstrated superior non-linear fitting and optimization capabilities.Under the optimal conditions predicted by BPNN (ultrasonic temperature of 80 ℃，molar ratio of 1.01∶1，and water content of 38%)，the total flavonoid yield reached 177.43 mg/g.Compositional and bioactivity analyses further revealed that，due to solvent polarity selectivity，although the contents of jaceosidin and eupatilin in the NADES extract were lower than those in the traditional ethanol extract，the NADES extract exhibited stronger antioxidant activity，with IC50 values for DPPH and ABTS radical scavenging as low as 0.041,0.11 mg/mL，respectively.This study provides a theoretical foundation for the green and efficient extraction of Qinling Artemisia argyi resources and their development and application in natural antioxidant products.

Key words: Qinling Artemisia argyi, natural deep eutectic solvents, ultrasound-assisted extraction, response surface methodology, BP neural network, antioxidant activity

中图分类号:  TS201.1

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