文献类型：期刊文献

英文题名：New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model

作者：Kljakic, Aleksandra Cvetanovic[1] Radosavljevic, Milos[1] Zengin, Gokhan[2] Yan, Linlin[3] Gasic, Uros[4] Kojic, Predrag[1] Torbica, Aleksandra[5] Belovic, Miona[5] Zekovic, Zoran[1]

第一作者：Kljakic, Aleksandra Cvetanovic

通信作者：Kljakic, AC[1]

机构：[1]Univ Novi Sad, Fac Technol, Bulevar Cara Lazara 1, Novi Sad 21000, Serbia;[2]Selcuk Univ, Sci Fac, Dept Biol, TR-42130 Konya, Turkey;[3]Chinese Acad Forestry, Inst Chem Ind Forestry Prod, Nanjing 210042, Peoples R China;[4]Univ Belgrade, Inst Biol Res Sinisa Stankovic, Natl Inst Republ Serbia, Bulevar Despota Stefana 142, Belgrade 11060, Serbia;[5]Univ Novi Sad, Inst Food Technol, Bulevar Cara Lazara 1, Novi Sad 21000, Serbia

年份：2023

卷号：12

期号：6

外文期刊名：PLANTS-BASEL

收录：;Scopus(收录号：2-s2.0-85151757781);WOS:【SCI-EXPANDED(收录号:WOS:000958369700001)】；

语种：英文

外文关键词：chamomile; microwave-assisted extraction; ANN; UHPLC-LTQ-Orbitrap; enyzme-inhibition activity; antioxidant activity

摘要：Chamomile is one of the most consumed medicinal plants worldwide. Various chamomile preparations are widely used in various branches of both traditional and modern pharmacy. However, in order to obtain an extract with a high content of the desired components, it is necessary to optimize key extraction parameters. In the present study, optimization of process parameters was performed using the artificial neural networks (ANN) model using a solid-to-solvent ratio, microwave power and time as inputs, while the outputs were the yield of the total phenolic compounds (TPC). Optimized extraction conditions were as follows: a solid-to-solvent ratio of 1:80, microwave power of 400 W, extraction time of 30 min. ANN predicted the content of the total phenolic compounds, which was later experimentally confirmed. The extract obtained under optimal conditions was characterized by rich composition and high biological activity. Additionally, chamomile extract showed promising properties as growth media for probiotics. The study could make a valuable scientific contribution to the application of modern statistical designs and modelling to improve extraction techniques.