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采用响应面法优化超声辅助从黑果腺肋花楸果渣中提取生物活性化合物的工艺

Optimisation of ultrasonic-assisted extraction of bioactive compounds from chokeberry pomace using response surface methodology.

作者信息

Sady Sylwia, Matuszak Leszek, Błaszczyk Alfred

机构信息

Department of Natural Science and Quality Assurance, Poznań University of Economics and Business, Poland.

Department of Product Marketing, Poznań University of Economics and Business, Poland.

出版信息

Acta Sci Pol Technol Aliment. 2019 Jul-Sep;18(3):249-256. doi: 10.17306/J.AFS.0673.

DOI:10.17306/J.AFS.0673
PMID:31569907
Abstract

BACKGROUND

Chokeberry pomace is a valuable by-product of fruit processing because of its high levels    of phenolic compounds and anthocyanins. The study was aimed to optimise chokeberry pomace extraction of total phenolic content, total anthocyanin content and antioxidant activity using response surface methodology.

METHODS

Response surface methodology was used to evaluate the effect of the concentration of ethanol (in the range of 60–96%) and sonication time (from 10 to 30 min) as independent variables on total phenolic content, antioxidant capacity and total anthocyanin content as the response functions.

RESULTS

The results showed that ethanol concentration, but not sonication time, had a significant influence on total phenolic content, antioxidant activity and total anthocyanin content. The optimal extraction conditions for total phenolic content (188.5 mg GAE/g DM) and antioxidant capacity (49.2 mM Tr/100 g DM) were 60% ethanol and 20 min sonication time. The optimal conditions in the case of total anthocyanin content (89.3 mg C3GE/g) were an 65% ethanol concentration and 13 min sonication time.

CONCLUSIONS

The development of optimal extraction parameters should allow food producers to use efficient, cost-effective and environmentally friendly technology to isolate biologically active molecules from chokeberry pomace, while the selected extract could be a component of health-promoting bioactive products.

摘要

背景

由于富含酚类化合物和花青素,黑果腺肋花楸果渣是水果加工过程中的一种宝贵副产品。本研究旨在采用响应面法优化黑果腺肋花楸果渣中总酚含量、总花青素含量及抗氧化活性的提取工艺。

方法

采用响应面法,以乙醇浓度(60% - 96%)和超声处理时间(10 - 30分钟)为自变量,以总酚含量、抗氧化能力和总花青素含量为响应函数进行评估。

结果

结果表明,乙醇浓度而非超声处理时间对总酚含量、抗氧化活性和总花青素含量有显著影响。总酚含量(188.5毫克没食子酸当量/克干物质)和抗氧化能力(49.2毫摩尔Trolox/100克干物质)的最佳提取条件为60%乙醇和20分钟超声处理时间。总花青素含量(89.3毫克矢车菊素 - 3 - 葡萄糖苷当量/克)的最佳条件为乙醇浓度65%和超声处理时间13分钟。

结论

优化提取参数的开发应使食品生产商能够采用高效、经济且环保的技术从黑果腺肋花楸果渣中分离生物活性分子,同时所选提取物可作为促进健康的生物活性产品的成分。

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