Laboratoire Hydrologie Appliquée et Environnement
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Item ESSENTIAL OIL FROM AERIAL PARTS OF RHETINOLEPIS LONADIOIDES (COSS.): EXTRACTION, CHEMICAL COMPOSITION AND ANTIMICROBIAL ACTIVITY(Plant Archives, 2021) Missoum, Mansour; Gherib, Mohammed; Ziane, Mohammed; Ben Braïek, Olfa; Yousfi, Mohammed; Amrouche, Abdel IlahIn this study, the chemical composition and antimicrobial activity of the essential oil (EO) from aerial parts of Rhetinolepis lonadioides collected from southwestern Algeria were assessed. The EO was obtained by hydrodistillation and analyzed by GC/MS. In total, thirty-two compounds were identified representing 80.00% of the total of the EO, withβ-Pinene (41.85%) being the major monoterpenes. Phenanthroquinone (10.39%) and Ethanone, 1-[1,1'-biphenyl]-4-yl- (2.66%) were the main oxygenated monoterpenes, and the diterpene hydrocarbons were mainly represented by m-Camphorene (5.43%). Six EO samples of R. lionadioides collected in location exhibited similar chemical composition evidencing a chemical homogeneity. The agar disc diffusion method showed that R. lonadioides EO was effective against Bacillus cereus, Pseudomonas aeruginosa, and Staphylococcus aureus with diameters of inhibition ranging from 17±2.65 to 12.33±1.13 mm, and the minimum inhibitory concentration (MIC) values were between 4 and 10 µL /mL. The lowest MIC values (4.0 µL/mL) were measured for Bacillus cereus.Item Water erosion on marl slopes and prevention of its effects using Conservation of Water and Soil systems in the Isser Wadi watershed(2017) Dr M. Zobiri , Dr M. Mazour , Dr B. MorsliItem Prediction of water erosion sensitive areas in Mediterranean watershed, a case study of Wadi El Maleh in north-west of Algeria(2018) Dr Oussama Benselama , Dr Mohamed Mazour, Dr Mahmoud Hasbaia , Dr Omar Djoukbala , Dr Sakher MokhtariItem Spatiotemporal variation of the soil potential sensitivity to water erosion. Case of the Tifiles micro basin of the North West Algerian(2017) Dr A. Kessaissia , Dr M. Mazour , Dr M. M’hamedi Bouzina , Dr A. NabedItem Estimating of water erosion in semiarid regions using RUSLE equation under GIS environment(2018) Dr Omar Djoukbala, Dr Mohamed Mazour, Dr Mahmoud Hasbaia , Dr Oussama Benselama