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In vitro enzyme inhibitory properties, antioxidant activities, and phytochemical profile of Potentilla thuringiaca
Scopus
Toplam 432 atıf DOI
The genus Potentilla is interesting for the pharmaceutical field due to its valuable medicinal properties, which have been observed in complementary and alternative medicine. In recent years, studies conducted to estimate the biological activity of several of the Potentilla species have shown a wide spectrum of therapeutic properties. In particular, in the present paper, different extracts obtained from the herb P. thuringiaca were analysed for antioxidant and enzyme inhibitory activities. The UHPLC-DAD-MS3 hyphenated techniques reported herein allow for the identification of phytoconstituents. The analyses showed the presence of flavonoids and ellagitannins as major components. Furthermore, the data demonstrated that the analysed extracts revealed a high total antioxidant capacity in the phosphomolybdenum assay. The free radical scavenging activity of the extracts was evaluated using DPPH and ABTS assays. The reducing power activity of P. thuringiaca was also determined by FRAP and CUPRAC assays, as well as metal chelating activity. In addition, the total extracts and the different fractions of P. thuringiaca revealed potent inhibitory activities against α-amylase and α-glucosidase, AChE, tyrosinase and lipase. Surprisingly, no activity against BChE was shown. P. thuringiaca could be a valuable natural source of antioxidants with interesting inhibitory actions against the key enzymes involved in several human diseases, and could represent a valid starting point for the development of new treatment and management strategies, including its use as a food supplement.
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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