بررسی اثر پارامترهای محیطی بر توانمندی آنتیاکسیدانی گیاهان دارویی جمعآوری شده از منطقه پاوه و اورمانات

Abstract

Background: Medicinal plants have wide diversity and the amounts of active compounds of them are highly variable in different areas of Iran. These changes can be depending on the plant species and environmental conditions such as temperature, precipitation and elevation or soil conditions. Therefore, evaluation the medicinal plants of an area can play an important role in understanding the potential of medicinal plants. Materials and Methods: In this experiment, 348 plant samples were collected from 116 medicinal plants in Paveh and Ormanat. The samples were tested after identification in herbarium laboratory of Razi University of Kermanshah and were transferred to the laboratory of Department of Horticultural Sciences of Gorgan University of Agricultural Sciences and Natural Resources for antioxidant potency analysis. After preparation the herbarium samples, the plants were dried in shade as thin layer. The dried samples were employed to measure total antioxidant potential (TAOC) via TAOC method. Furthermore, climate data and soil chemical parameters were collected. To prepare the TAOC reagent, 0.6 mM sulfuric acid (H2SO4), 28 mM sodium phosphate (Na3PO4) and 4 mM ammonium molibdat (N6H24Mo7O24) were used. Finally, the relationship between them and TAOC was evaluated using regression models by data mining. Finding: In order to assess the effect of environmental parameters on the total antioxidant content of medicinal plants in this study, the correlation between data was evaluated. The results showed that there is no correlation between environmental parameters and TAOC. In data analysis, the two-variable regression equations did not show satisfactory results, as in the stepwise method, a maximum of 31% correlation was observed, but the M5 tree regression model by dividing the data into 29 spaces provided the TAOC values which showed 91% correlation and RMSE = 16.6%. Conclusion The results of our study showed that, the amount of antioxidant capacity of plant based on total antioxidant had no significant correlation with environmental and soil conditions. Moreover, its multivariate relationship did not show a significant correlation, which could be due to the high diversity in the studied species. It concluded that in addition to genetic potential, total antioxidant activity of medicinal plants depends on the environmental and climatic conditions. However, understanding the potential of medicinal plants with multiple environmental and genetic parameters using data mining techniques is an important trait. Overall, the results of this study showed that,in present study the M5 decision tree method was an efficient method in evaluation of antioxidant capacity of plant.