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优化野生越橘叶中多酚的提取-抗菌性能和稳定性研究。

Optimisation of Polyphenols Extraction from Wild Bilberry Leaves-Antimicrobial Properties and Stability Studies.

机构信息

Faculty of Chemical Engineering and Biotechnologies, University Politehnica of Bucharest, 1-7 Gheorghe Polizu Street, 011061 Bucharest, Romania.

"Ilie Murgulescu" Institute of Physical Chemistry, Romanian Academy, 202 Splaiul Independentei, 060021 Bucharest, Romania.

出版信息

Molecules. 2023 Aug 1;28(15):5795. doi: 10.3390/molecules28155795.

DOI:10.3390/molecules28155795
PMID:37570765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10420792/
Abstract

Polyphenolic extracts from natural sources have received great interest due to their beneficial properties for human health. A method to reduce their variability is to use the design of experiments which allows a limited number of experiments to be performed while exploring the experimental space. Firstly, a 2-full factorial model was used to investigate the polyphenols extraction from wild bilberry leaves. Spectrophotometric data (the content of polyphenols, flavonoids, chlorophyll and radical scavenger activity) and extraction yield were used as responses, and six statistical models were determined depending on the two numerical factors (temperature and alcohol % of ethanol-water mixture) being significant ( < 0.05) in all cases. Numerical optimisation performed by Design Expert 13 software correlates well with the chemical profile determined by high-performance liquid chromatography and the amount of the polyphenol. Afterwards, under the optimised conditions, an extract was prepared in three extraction steps for which composition, chemical stability and antimicrobial properties were evaluated. The antimicrobial potential of the extract was compared with that of the standard compounds (rutin and chlorogenic acid), and the results supported a synergistic effect of the extract components.

摘要

由于天然来源的多酚提取物对人类健康有益,因此受到了极大的关注。减少其变异性的一种方法是使用实验设计,该设计允许在探索实验空间的同时进行有限数量的实验。首先,使用 2 全因子模型研究了野生越桔叶中多酚的提取。分光光度数据(多酚,类黄酮,叶绿素和自由基清除活性的含量)和提取产率用作响应,并且取决于两个数值因子(温度和乙醇-水混合物中酒精的百分比)在所有情况下均具有重要意义(<0.05),确定了六个统计模型。Design Expert 13 软件进行的数值优化与高效液相色谱法确定的化学特征和多酚含量很好地相关。之后,在优化条件下,分三步进行提取,并对提取物的组成,化学稳定性和抗菌性能进行了评估。提取物的抗菌潜力与标准化合物(芦丁和绿原酸)进行了比较,结果支持了提取物成分的协同作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/aa8826634b50/molecules-28-05795-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/3fcc361ee604/molecules-28-05795-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/d94b0098e600/molecules-28-05795-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/ac0bc92f341f/molecules-28-05795-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/1bf03bfc4dad/molecules-28-05795-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/aa8826634b50/molecules-28-05795-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/3fcc361ee604/molecules-28-05795-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/d94b0098e600/molecules-28-05795-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/ac0bc92f341f/molecules-28-05795-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/1bf03bfc4dad/molecules-28-05795-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c950/10420792/aa8826634b50/molecules-28-05795-g005.jpg

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