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响应面法优化超声波辅助提取薏苡仁低聚糖工艺的研究

薛雅茹 操然 卢旭 张怡

热带作物学报2017,Vol.38Issue(3):565-571,7.
热带作物学报2017,Vol.38Issue(3):565-571,7.DOI:10.3969/j.issn.1000-2561.2017.03.028

响应面法优化超声波辅助提取薏苡仁低聚糖工艺的研究

Response Surface Model Optimization of Oligosaccharide Extraction from Coix Seed by Ultrasonic-assisted Technology

薛雅茹 1操然 2卢旭 3张怡3

作者信息

  • 1. 黎明职业大学轻纺工程学院,福建泉州 362000
  • 2. 福建省特种淀粉品质科学与加工技术重点实验室,福建福州 350002
  • 3. 福建农林大学食品科学学院,福建福州 350002
  • 折叠

摘要

Abstract

Response surface analysis methodology (RSM) was applied in this paper to optimize the ultrasonic-assisted extraction (UAE) of oligosaccharides from Coix seed (CSO).On the basis of single factor experiment,liquid-solid ratio,ultrasonic temperature,ultrasonic time and ultrasonic power were chosen as the random factors.Established the mathematical model by Box-Behnken test and then analyzed the impact degree of the three technological parameters on the response of CSO to optimized the processing parameters.The result showed that the order of parameters on the yield of CSO was as follows:ultrasonic power > extraction time > liquid-solid ratio.The optimal technical condition for CSO:ultrasonic temperature was 70 ℃,liquid-solid ratio was 33∶1 mL/g,ultrasonic time was 27 min and ultrasonic power was 450 W.Under this condition the extraction rate was 0.94%,which is close to the predicted value of 0.98%.It indicated that using the response surface methodology to optimize the yield of CSO is reasonable.

关键词

薏苡仁/低聚糖/超声波提取/响应面法

Key words

coix seed/oligosaccharides/ultrasonic-assisted extraction/response surface methodology

分类

轻工纺织

引用本文复制引用

薛雅茹,操然,卢旭,张怡..响应面法优化超声波辅助提取薏苡仁低聚糖工艺的研究[J].热带作物学报,2017,38(3):565-571,7.

基金项目

福建省高等学校科技创新团队支持计划(闽教科[2012] 03号) (闽教科[2012] 03号)

福建农林大学科技创新团队支持计划(No.cxtdl2009) (No.cxtdl2009)

教育部博士点基金(No.20133515110013). (No.20133515110013)

热带作物学报

OA北大核心CSCDCSTPCD

1000-2561

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