首页|超声辅助双水相集成提取芒果核多酚工艺优化

超声辅助双水相集成提取芒果核多酚工艺优化

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  • 国家科技期刊平台
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为了获得超声辅助双水相集成提取芒果核多酚的最佳条件,该文提出一种超声提取与丙醇-硫酸铵双水相分离体系集成提取芒果核多酚的新方法,利用5水平4因素的星点设计响应面方法研究提取条件对芒果核总多酚提取率的影响.当超声功率为400W、初始温度为45℃,获得的最佳条件是59.7％丙醇浓度,23.4％硫酸铵用量,27.3 min超声提取时间和23.0 mL/g的液固比,在该条件下,芒果核多酚提取率为6.67％,试验值与最佳预测值(6.82％)相符,超声辅助双水相集成法获得的提取物多酚含量高于常规超声提取法.试验结果说明利用超声辅助双水相集成的方法改善多酚提取是可行性.该研究可为芒果核的利用和植物多酚的提取技术提供参考.
Optimization of ultrasound-assisted aqueous two-phase extraction of polyphenols from mango seed kernel
In order to obtain the optimal conditions of ultrasound-assisted aqueous two-phase extraction of polyphenols from mango seed kernel,a novel extraction method involving ultrasound-assisted extraction combined with propyl-alcohol ammonium sulfate aqueous two-phase separation was developed for the extraction of polyphenols from mango seed kernel.Response surface methodology,based on a five levels,four variables central composite designs was employed to study the effect of extraction conditions on the extraction yield of total polyphenols.An extraction yield of 6.67％ was achieved under the optimal extraction conditions of 59.7％ of propyl-alcohol volume fraction,23.4％ of ammonium sulfate investigated concentration,27.0 min of extraction time and liquid/solid ratio of 23 mL/g at ultrasonic power of 400 W and temperature of 45℃,which was agreement well with the optimal prediction value (6.82％).Totalpolyphenols content in the extract of ultrasound-assisted aqueous two-phase extraction was higher than that of conventional ultrasound-assisted extraction.The research indicates that the method of combining aqueous two-phase separation with ultrasound-assisted extraction to improve the extraction of polyphenols is practicable.The research can provide a reference for full utilization of mango seed kernel and the extraction technique of polyphenols.

optimizationextractionultrasonicspolyphenolsmango seed kernel

高云涛、王振峰、罗利军、戴建辉、李鼎

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云南民族大学化学与生物技术学院,昆明650031

民族药资源化学国家民委-教育部重点实验室,昆明650500

优化 提取 超声波 多酚 芒果核

Program for Innovative Research Team (in Science and Technology) in University of Yunnan ProvinceProgram for Innovative Research Team (in Science and Technology) in University of Yunnan ProvinceProgram for Yunnan Provincial Innovation Team

2010UY082011UYN092011HC008

2012

10.3969/j.issn.1002-6819.2012.19.034

农业工程学报
中国农业工程学会

农业工程学报

CSTPCDCSCD北大核心EI
影响因子：2.529
ISSN：1002-6819
年,卷(期)：2012.28(19)
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