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Screening of in vitro antioxidant and enzyme inhibitory activities of different extracts from two uninvestigated wild plants: Centranthus longiflorus subsp. longiflorus and Cerinthe minor subsp. auriculata
Scopus
Toplam 129 atıf DOI
Introduction The importance of plants products in traditional medicine has been recognized for some time. Two plants of Turkish origin, Centranthus longiflorus subsp. longiflorus and Cerinthe minor subsp. auriculata used as traditional Turkish medicine have remained uninvestigated for Alzheimer diseases and diabetes mellitus for their in vitro biological activity despite their use for sleep disorders. The antioxidant and enzyme inhibitory properties of these plants have not been reported. The aim of this study was to determine the total phenolics, flavonoids, and antioxidant as well as their enzyme inhibitory activity (in aqueous and solvent extracts). Methods Antioxidant assays used standard methods to assess phosphomolybdenum, free radical scavenging activity, reducing power, and metal chelating activity on ferrous ions. Additionally, the extracts were tested also for enzyme inhibitory activity (Cholinesterase, Tyrosinase, α-amylase, and α-glucosidase). Results Organic extracts showed the highest anti-cholinesterase (AChE, and BChE) activity, while aqueous extracts showed valuable Tyrosinase inhibitory activity. Total phenolics (expressed as gallic acid equivalents) in C. longiflorus subsp. longiflorus and C. minor subsp. auriculata were 46.2 and 25.4 mg in methanolic extracts, 27.5 and 26.2 mg in ethyl acetate extracts, and 37.9 and 46.6 mg in aqueous extracts, respectively. Similarly, total flavonoids (expressed as rutin equivalents) in C. longiflorus subsp. longiflorus and C. minor subsp. auriculata were 39.9 and 27.8 mg in methanolic extracts, 17.6 and 52.4 mg in ethyl acetate extracts, and 24.35 and 24.6 mg in aqueous extracts, respectively. Conclusion The reported results may be valuable for preparing new food supplements and can represent a good model for the development of new drug formulations.
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New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model
Scopus
Havuzumuzda Open Access 17 atıf almış
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.
Atıf Yapan Makale Bilgileri
Kurumlar (5)
Chinese Academy of Forestry
Beijing, China
Institute of Food Technology in Novi Sad
Novi Sad, Serbia
Selçuk Üniversitesi
Selçuklu, Turkey
University of Belgrade
Belgrade, Serbia
University of Novi Sad
Novi Sad, Serbia