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葡萄皮渣中白藜芦醇提取工艺优化及抗氧化活性初步研究

游国叶 熊大维 黄帅 史琼

饲料工业2026,Vol.47Issue(2):119-127,9.
饲料工业2026,Vol.47Issue(2):119-127,9.DOI:10.13302/j.cnki.fi.2026.02.016

葡萄皮渣中白藜芦醇提取工艺优化及抗氧化活性初步研究

Extraction Process Optimization of Resveratrol from Grape Peel Residue and Preliminary Research on Its Antioxidant Activity

游国叶 1熊大维 2黄帅 2史琼1

作者信息

  • 1. 信阳职业技术学院,河南 信阳 464000
  • 2. 武汉生物工程学院医药学院,湖北 武汉 430415
  • 折叠

摘要

Abstract

The experiment was to study optimal extraction process andantioxidant activity of resveratrol from grape peel residue by supercritical CO2.The extraction rate of resveratrol was used as the investigation index,extraction pressure,extraction time,extraction temperature and entrainer flow rate were used as the single factors,Box-Behnken design and response surface were used to optimize the extraction process condi-tions.The antioxidant activity of extract was analyzed in terms of 1,1-diphenyl-2-picrylhydrazyl(DPPH)radical clearance and 2,2'-azino-bis(3-ethylbenzthiazoline-6-sulfonate(ABTS)radical cation clearance.Results showed that the optimum extraction conditions were as follows:extraction pressure of 25 MPa,extrac-tion time of 1.7 h,extraction temperature of 45℃and entrainer flow rate of 0.7 mL/min.Under these conditions,the yield of resveratrol was 9.09%.The antioxidant test showed that the extract from grape peel residue had strong antioxidant capacity.The scavenging rates of resveratrol on DPPH and ABTS free radicals was concentration-dependent,and the IC50 was 0.52 mg/mL and 0.40 mg/mL,respec-tively.Therefore,extraction of resveratrol from grape peel by supercritical CO2 is stable and fea-sible,and the extractive is very potential as feed additives for animals breeding.

关键词

白藜芦醇/超临界CO2/Box-Behnken/响应面法/抗氧化活性/葡萄皮渣

Key words

resveratrol/supercritical CO2/Box-Behnken/response surface methodology/antioxidant activ-ity/grape peel residue

分类

农业科技

引用本文复制引用

游国叶,熊大维,黄帅,史琼..葡萄皮渣中白藜芦醇提取工艺优化及抗氧化活性初步研究[J].饲料工业,2026,47(2):119-127,9.

基金项目

湖北省高等学校优秀中青年科技创新团队计划项目[T2023039] ()

河南省医学教育研究项目[WJLX2024254] ()

信阳市社科规划课题[2024JY118] ()

信阳职业技术学院校级重点项目[LXZD251103] ()

饲料工业

1001-991X

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