榛子青皮多糖的提取工艺优化及其抗氧化活性评价
Optimization of extraction process of hazelnut green skin polysaccharides and evaluation of their antioxidant activity
袁永旭 1黄志程 1贡永鹏 1闫馨慈 1吕炀 1周扬 1李明 1崔艳艳2
作者信息
- 1. 通化师范学院食品科学与工程学院,吉林通化 134000
- 2. 通化师范学院食品科学与工程学院,吉林通化 134000;吉林省长白山食用植物资源开发工程中心,吉林通化 134000
- 折叠
摘要
试验旨在优化榛子青皮多糖的提取工艺,研究其抗氧化活性.研究基于单因素试验,利用响应面设计优化榛子青皮多糖的水提工艺,采用紫外光谱(UV)、红外光谱(FT-IR)对其结构进行分析,评价其抗氧化活性.结果显示,在液料比56mL/g、提取温度65 ℃、提取时间140 min条件下,多糖提取率为(5.15±0.27)％,与模型预测值相当.FT-IR结果显示,榛子青皮多糖存在多糖特征吸收信号.榛子青皮多糖具有清除1,1-二苯基-2-苦基肼自由基(DPPH)、2,2'-联氮-双-3-乙基苯并噻唑林-6-磺硫(ABTS)自由基的能力和明显的铁还原能力.研究表明,响应面优化榛子青皮多糖水提工艺切实可行,可为后续榛子青皮多糖的提取生产及应用研究提供参考.
Abstract
The experiment aimed to optimize the extraction process of hazelnut green peel polysaccharides and study their antioxidant activity.Based on single-factor experiments,the water extraction process of hazelnut green peel polysaccharides was optimized using response surface design.The structure was analyzed using ultraviolet spectroscopy(UV)and Fourier-transform infrared spectroscopy(FT-IR),and its antioxidant activity was evaluated.The results showed that under the conditions of a liquid-to-material ratio of 56 mL/g,extraction temperature of 65 ℃,and extraction time of 140 min,the polysaccharide extraction rate was(5.15±0.27)％,which was comparable to the predicted value of the model.The FT-IR results indicated the presence of characteristic absorption signals of polysaccharides in hazelnut green peel polysaccharides.Hazelnut green peel polysaccharides had the ability to scavenge DPPH and ABTS radicals and exhibit significant iron reduction capacity.The study indicates that the response surface optimization of the water extraction process for hazelnut green peel polysaccharides is feasible and can provide a reference for subsequent extraction production and application research of hazelnut green peel polysaccharides.
关键词
榛子青皮多糖/响应面优化/提取工艺/抗氧化活性Key words
hazelnut green skin polysaccharides/optimization by response surface methodology/structural characterization/antioxidant activity引用本文复制引用
基金项目
吉林省教育厅科学研究项目(JJKH20230594)
通化师范学院科研基金项目(2022028ND)
出版年
2024
国家科技期刊平台
NSTL
万方数据