Asia Life Sciences

Abstract : Sonneratia alba plant parts (leaves, fruit, and bark) were investigated to evaluate the antibacterial activity against bacterial pathogens. The disc diffusion method evaluated the antibacterial activity of crude extracts of Mangrove Apple plant parts. The leaves, fruit, and bark of S. alba exhibited a zone of inhibition both in Staphylococcus aureus and Escherichia coli. Among the five treatments tasted for S. aureus, fruits have the highest zone of inhibition. Meanwhile, the crude extracts from S. alba that were tested toward E. coli, fruits showed the highest zone inhibition. The majority of the treatments were classified as bacteriostatic. Based on the result of the study Gram-positive bacteria, S. aureus was more susceptible than the Gram-negative bacteria, E. coli. Therefore, it was concluded that Mangrove Apple extracts from pocket Mangrove Forest of RSU-San Agustin Campus, Cabolutan, San Agustin, Romblon, Philippines, exhibited antibacterial potential towards bacteria. And might indeed be used in the pharmaceutical industry and as a traditional medicine for the locals. This study recommends, the extraction of other organic solvents used by another group of mangrove species and the utilization of other test microorganisms for further results on the results on antibacterial potential of mangrove plants against pathogens. In addition, elucidation of the compounds responsible for the bioactivities including identification, sufficient isolation, and purification, and also the analysis of the antibacterial mode of action should be done for natural drug development in the future.

Abstract : Daily Earth Data satellite helps researchers to understand the physical world and take action. Also, they are used to see change and make better decisions. Information technology, data analysis, natural resources, geospatial science, and ecological modeling informatics are used to explore and apply information science to the sustainable management of the natural ecosystem. In this case our study present one of the technical solutions to compare spatio-temporel distribution of plant formation. It consists to explore data satellite image according to the reflection spectrum of spectral bands to detect changes in different characteristics of the vegetation in Beni Slimane Forest (Setifois, North east of Algeria). In order to illustrate the aforementioned aspects, four differents vegetation formation discussing the use of data in remote sensing are demonstrated. This work contribute to the use of data from Landsat 8 satellite processing with ENVI 5.1 and also the geographical coordinate of different plots were taken in situ using global positioning system. It was found that the distribution of the number of pixels in an image according to their intensity differs from date to other. The results showed that spectrale reflectance present different aspects due to the type of soil occupation and the period of the year. Reflectance is very important in dense forest formation compared to other type, where a very weak reflectance was recorded in Holm oak. The spatiotemporal comparaison indicates that spectral reflectance is very important in mai compared to other months.