Journals / Bitlis Eren Üniversitesi Fen Bilimleri Dergisi / 2019 / Cilt: 8 - Sayı: 2

The investigation of antioxidant and anticancer effects of some importance medical plants

New Results on the Exponential Stability of Class Neural Networks with Time-Varying Lags

Pages
443–450
DOI
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Abstract

For thousands of years, plants have been used for the treatment of many diseases. In addition, in modern pharmacy many plant compounds have an important place in the production of pharmaceutical raw materials or new medicines. The aim of this study was to determine the biological activity of extracts obtained from the fruits of the medical important bitter melon (Momordica charantia), pepino (Solanum muricatum) and goldenberry (Physalis peruviana). The total polyphenol content of the samples was measured spectrophotometrically using Folin-Ciocaltute reactivity. The DPPH free radical scavenging effect of plant samples was determined and antioxidant capacities were determined. In addition, the cytotoxic effects of the samples on human over and breast cancer cell lines (A2780 and MCF7, respectively) were determined using MTT method. As a result of the study, it was determined that the highest total polyphenol content was in the case of potency and the lowest content was in the case of pepino. All three plant samples revealed the effect of free radical elimination of DPPH dependent predation. Finally, it was determined that all three plant samples showed high cytotoxic effect on both human over and breast cancer cell lines. Results show us that in all three plant samples it has a significantly higher anticancer effect than antioxidant effect. With the extensive studies to be carried out after that, the mechanism of the effect can be enlightened and contribute to new treatment approaches.

Özet

In this article, some novel approaches to the analysis of globally exponential stability (GES) for a class of neural networks with time-varying lags are presented. These approaches to functional differential equations are based on Lyapunov stability theory. Then, the necessary and sufficient conditions for GES of the equation taking into account have been discussed. An example was given to illustrate the qualitative behavior of the solution of the proposed equation and MATLAB-Simulink Program was used to demonstrate the validity of the results obtained in these samples. Consequently, the obtained results include and improve the results found in the related literature.

Keywords: Neural networks, GES, Lyapunov functional