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用于评估桃金娘科番樱桃属植物叶片液体提取物中鞣花酸的高效液相色谱-紫外检测法的开发与验证及其超声辅助提取优化

Development and Validation of a HPLC-UV Method for the Evaluation of Ellagic Acid in Liquid Extracts of L. (Myrtaceae) Leaves and Its Ultrasound-Assisted Extraction Optimization.

作者信息

Assunção Paulo Isaac Dias, da Conceição Edemilson Cardoso, Borges Leonardo Luiz, de Paula Joelma Abadia Marciano

机构信息

Campus Anápolis de Ciências Exatas e Tecnológicas, Universidade Estadual de Goiás, Caixa Postal 459, 75132-903 Anápolis, GO, Brazil.

Laboratório de Pesquisa, Desenvolvimento & Inovação de Bioprodutos, Universidade Federal de Goiás, Caixa Postal 131, 74605-170 Goiânia, GO, Brazil.

出版信息

Evid Based Complement Alternat Med. 2017;2017:1501038. doi: 10.1155/2017/1501038. Epub 2017 Jul 6.

DOI:10.1155/2017/1501038
PMID:28761495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5518513/
Abstract

A simple HPLC-UV method has been developed and validated for the quantification of ellagic acid (EA) in ethanol extracts of L. (Myrtaceae) leaves. The ultrasound-assisted extraction (UAE) optimization was performed using a Box Behnken design (3) combined with response surface methodology to study the effects of the ethanol concentration (%, w/w), extraction time (minutes), and temperature (°C) on the EA concentration. The optimized results showed that the highest extraction yield of EA by UAE was 26.0 g mL when using 44% (w/w) ethanol as the solvent, 22 minutes as the extraction time, and 59°C as the extraction temperature. The concentration of EA in relation to the predicted value was 93.7%  ±  0.4. UAE showed a strong potential for EA extraction.

摘要

已开发并验证了一种简单的高效液相色谱 - 紫外检测法,用于定量测定桃金娘科番樱桃属植物叶片乙醇提取物中的鞣花酸(EA)。采用Box - Behnken设计(3因素)结合响应面法对超声辅助提取(UAE)进行优化,以研究乙醇浓度(%,w/w)、提取时间(分钟)和温度(°C)对EA浓度的影响。优化结果表明,当使用44%(w/w)乙醇作为溶剂、提取时间为22分钟、提取温度为59°C时,UAE对EA的最高提取率为26.0 μg/mL。EA的浓度与预测值的关系为93.7% ± 0.4。UAE在EA提取方面显示出强大的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7655/5518513/15ff5fe8bbcc/ECAM2017-1501038.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7655/5518513/9c6d589b021d/ECAM2017-1501038.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7655/5518513/c6e6d27f72d4/ECAM2017-1501038.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7655/5518513/15ff5fe8bbcc/ECAM2017-1501038.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7655/5518513/9c6d589b021d/ECAM2017-1501038.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7655/5518513/c6e6d27f72d4/ECAM2017-1501038.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7655/5518513/15ff5fe8bbcc/ECAM2017-1501038.003.jpg

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