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通过响应面法对岩蔷薇、阿拉伯树胶和柠檬马鞭草进行增值利用:优化研究及其在制药和营养保健品行业的潜在应用

Cistus, Acacia, and Lemon verbena Valorization through Response Surface Methodology: Optimization Studies and Potential Application in the Pharmaceutical and Nutraceutical Industries.

作者信息

Fernandes Filipa A, Carocho Márcio, Finimundy Tiane C, Prieto Miguel A, Ferreira Isabel C F R, Barros Lillian, Heleno Sandrina A

机构信息

Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.

Laboratório Associado para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.

出版信息

Pharmaceuticals (Basel). 2024 May 7;17(5):593. doi: 10.3390/ph17050593.

Abstract

L., L., and Paláu were subject to an optimization procedure for two extraction techniques (heat-assisted extraction (HAE) and ultrasound-assisted extraction (UAE)). The extracts were then analyzed by HPLC-DAD-ESI/MS for their phenolic profile (cistus-15 compounds, acacia-21 compounds, and lemon verbena-9 compounds). The response surface methodology was applied, considering four varying factors: ethanol percentage; extraction time; temperature/power; and S/L ratio, generating two responses (the major phenolic compound, or family of compounds, and the extraction yield). For cistus, both techniques optimized the extraction yield of punicalagins, with UAE proving to be the most efficient extraction method (3.22% ethanol, 22 min, 171 W, and 35 g/L). For acacia, HAE maximized the extraction of procyanidin (74% ethanol, 86 min, 24 °C, and 50 g/L), and UAE maximized the content of myricetin (65% ethanol, 8 min, 50 W, and 50 g/L). For lemon verbena, HAE favored the extraction of martynoside (13% ethanol, 96 min, 49 °C and 17 g/L) and forsythiaside UAE (94% ethanol, 25 min, 399 W, and 29 g/L). The optimal conditions for the extraction of compounds with high added value and potential for use in pharmaceuticals and nutraceuticals were defined.

摘要

L.、L. 和帕劳对两种提取技术(热辅助提取(HAE)和超声辅助提取(UAE))进行了优化程序。然后通过HPLC-DAD-ESI/MS对提取物的酚类成分(岩蔷薇-15种化合物、金合欢-21种化合物和柠檬马鞭草-9种化合物)进行分析。应用响应面法,考虑四个可变因素:乙醇百分比;提取时间;温度/功率;以及固液比,产生两个响应(主要酚类化合物或化合物家族以及提取率)。对于岩蔷薇,两种技术都优化了石榴皮苷的提取率,结果表明超声辅助提取是最有效的提取方法(3.22%乙醇、22分钟、171瓦和35克/升)。对于金合欢,热辅助提取使原花青素的提取最大化(74%乙醇、86分钟、24°C和50克/升),而超声辅助提取使杨梅素的含量最大化(65%乙醇、8分钟、50瓦和50克/升)。对于柠檬马鞭草,热辅助提取有利于马丁诺苷的提取(13%乙醇、96分钟、49°C和17克/升),而超声辅助提取有利于连翘酯苷的提取(94%乙醇、25分钟、399瓦和29克/升)。确定了用于制药和营养保健品的具有高附加值和潜在用途的化合物的最佳提取条件。

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