紫薯花青素超声波辅助酶法提取工艺优化及其抗氧化性研究
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(1. 陕西科技大学食品与生物工程学院,陕西 西安 710021;2. 渭南市食品药品检验所,陕西 渭南 714000)

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徐颖(1978—),女,陕西科技大学讲师,博士。 E-mail:xuying@sust.edu.cn

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基金项目:

陕西科技大学科研启动金—自然科学预研基金(编号:2016BJ-21);陕西省大学生创新创业训练计划项目(编号:1348)


Study on Ultrasonic-enzyme Combined Extraction and Antioxidant Activity of Anthocyanins from Purple Sweet Potato by Response Surface Methodology
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(1. School of Food and Biological Engineering, Shaanxi University of Science &Technology, Xi’an, Shaanxi 710021, China; 2. Weinan Institute for Food and Drug Control, Weinan, Shaanxi 714000, China)

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    摘要:

    采用单因素试验和响应面试验研究超声波辅助酶法提取紫薯花青素,确定最佳工艺条件为:以95%乙醇—0.1% HCl(体积比46)为提取剂,液料比361(mL/g),60 ℃ 下超声提取35 min,纤维素酶添加量2.50 mg/g·紫薯粉。在该条件下紫薯花青素得率达到2.003 mg/g。紫薯花青素还原力和对OH清除率随浓度增大而增强。在30.00 mg/L时,紫薯花青素对OH清除率达到80.2%。研究初步揭示了紫薯花青素具有很高的体外抗氧化活性,可以作为天然抗氧化剂进行开发。

    Abstract:

    The anthocyanins were extracted from purple sweet potato (PSP) tuber. Influencing factors of ultrasonic-enzyme combined extraction of anthocyanins were studied by single factor experiments. On the basis of this, the extraction process was optimized by three factors and three levels of response surface analysis method, using yield rate as response value. The optimal process parameters of the extraction process were: extraction temperature 60 ℃, extraction time 35 min, liquid to solid ratio 361(mL/g). Under these conditions, the yield of anthocyanins from purple sweet potato was 2.003 mg/g. The results showed that the determination of reducing power of purple sweet potato anthocyanins and the scavenging rate of ·OH increased with the increase of concentration. The scavenging rate of ·OH was 80.2% at the concentration of 30.00 mg/L. The study revealed that the anthocyanins from purple sweet potato have high antioxidant activity in vitro and can be used as a natural antioxidant.

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徐颖,樊凡,阴鹏涛,等.紫薯花青素超声波辅助酶法提取工艺优化及其抗氧化性研究[J].食品与机械,2017,33(3):150-154.
XUYing, FANFan, YINPengtao, et al. Study on Ultrasonic-enzyme Combined Extraction and Antioxidant Activity of Anthocyanins from Purple Sweet Potato by Response Surface Methodology[J]. Food & Machinery,2017,33(3):150-154.

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  • 在线发布日期: 2023-03-10
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