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采用田口方法和灰色关联分析优化超声辅助从蝶豆花花瓣中提取花青素和生物活性化合物的工艺

Optimization of ultrasound-assisted extraction of anthocyanins and bioactive compounds from butterfly pea petals using Taguchi method and Grey relational analysis.

作者信息

Salacheep Supanat, Kasemsiri Pornnapa, Pongsa Uraiwan, Okhawilai Manunya, Chindaprasirt Prinya, Hiziroglu Salim

机构信息

Department of Chemical Engineering, Faculty of Engineering, Sustainable Infrastructure Research and Development Center, Khon Kaen University, Khon Kaen, 40002 Thailand.

Division of Industrial Engineering Technology, Faculty of Industry and Technology, Rajamangala University of Technology Rattanakosin, Wang Klai Kang Won Campus, Prachuap Khiri Khan, 77110 Thailand.

出版信息

J Food Sci Technol. 2020 Oct;57(10):3720-3730. doi: 10.1007/s13197-020-04404-7. Epub 2020 Apr 18.

Abstract

Ultrasound-assisted extraction (UAE) was used to extract anthocyanins, antioxidants and phenolic compounds from butterfly pea petals, as an alternative to traditional methods. Taguchi method with three factors: extraction time (30, 45, 60 min), temperature (40, 60, 80 °C) and liquid-solid ratio (5, 7.5, 10 mL distilled water/mg butterfly pea) was used to obtain the high extraction yield. Grey relational analysis was employed to convert multi-response problem into single response optimization. The high extraction efficiency could be achieved at optimal parameter condition using 45 min of extraction time, 40 °C and 10 ml distilled water/mg butterfly pea. Liquid-solid ratio exhibited the highest contribution for anthocyanin and total phenolic content. A high temperature of ultrasonication resulted in a negative effect on antioxidant capacity and total phenolic content. The findings from this study indicated that the UAE process optimization would be an efficient and sustainable method for the preparation of bioactive compounds from medical plants with saving of reaction time and cost in which extraction yields of antioxidant capacity and total phenolic content were also increased. The color response analysis results suggested that the gelatin film incorporated with butterfly pea extract can be potentially used as pH-indicator for detecting food spoilage for intelligent packaging.

摘要

采用超声辅助提取(UAE)从蝶豆花花瓣中提取花青素、抗氧化剂和酚类化合物,作为传统方法的替代方法。采用田口方法,考虑三个因素:提取时间(30、45、60分钟)、温度(40、60、80℃)和液固比(5、7.5、10毫升蒸馏水/毫克蝶豆花),以获得高提取率。采用灰色关联分析将多响应问题转化为单响应优化。在最佳参数条件下,即提取时间45分钟、温度40℃和液固比10毫升蒸馏水/毫克蝶豆花时,可实现高提取效率。液固比对花青素和总酚含量的贡献最大。超声处理的高温对抗氧化能力和总酚含量产生负面影响。本研究结果表明,UAE工艺优化将是一种高效且可持续的方法,用于从药用植物中制备生物活性化合物,可节省反应时间和成本,同时提高抗氧化能力和总酚含量的提取率。颜色响应分析结果表明,掺入蝶豆花提取物的明胶膜有可能用作智能包装中检测食品腐败的pH指示剂。

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