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Chemical analysis and antioxidant content of various propolis samples collected from different regions and their impact on antimicrobial activities

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Asian Pacific Journal of Tropical Medicine 2018年第7期11卷 436-442页

作者： Soumaya Touzani Noori Al-Waili Nawal el Menyiy Bratko Filipic Adriana Pereyra ilham el arabi Wail Al-Waili Badiaa Lyoussi Laboratory of Physiology Pharmacology & Environmental Health Faculty of Science University Sidi Mohamed Ben Abdellah New York Medical Care for Nephrology Institute for Microbiology and Immunology Medical Faculty of Ljubljana University of Ljubljana

Objective: To assess the antioxidant content, antimicrobial and antioxidant activities of various propolis samples. Methods: Seven propolis samples were collected from different locations in Morocco, which are characterized by different plant predominant vegetations. The resin, wax and balsam of hydroalcoholic extract of propolis content were identified, and the antioxidant content was analyzed with the use of HPLC and colorimetric methods. The antioxidant activity was assessed by DPPH, ABTS.^+ and ferric reducing power assays. The antimicrobial activity was assessed against bacterial species, including methicillin resistant Staphylococcus aureus and Candida albicans, and expressed as the minimal inhibitory concentration. Results: The propolis samples showed significant variations in the chemical composition and in the antioxidant or antimicrobial activities even when the samples were collected from the same location. Propolis with high resin and low wax content had high level of antioxidant compounds, and strong antioxidant and antimicrobial activities. Gram-positive bacteria, especially, methicillin resistant Staphylococcus aureus were more sensitive to all propolis samples than Gram-negative bacteria and Candida albicans. Conclusions: The chemical composition and the antioxidant and antimicrobial activities of various propolis samples are different and rely on the geographic and plant origin of propolis collection. Propolis samples with low wax and high resin content might be more suitable to be used in future preclinical or clinical investigations.

关键词： Propolis Antimicrobial Antioxidant Phenol Candida albicans Methicillin resistant Staphylococcus aureus

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Machine Learning and Data Fusion Approach for elastic Rock Properties Estimation and Fracturability Evaluation

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Energy and AI 2024年第2期16卷 1-13页

作者： Yiwen Gong ilham el-Monier Mohamed Mehana The Ohio State University SimTech LLC Los Alamos National Laboratory

Accurate rock elastic property determination is vital for effective hydraulic fracturing,particularly Young’s modulus due to its link to rock *** study integrates interdisciplinary data for better predictions of elastic modulus,combining data mining,experiments,and calibrated *** used the microstructural insights extracted from rock images for geomechanical facies ***,the petrophysical data and well logs were correlated with shear wave velocity(Vs)and Young’s *** developed a machine-learning workflow to predict Young’s modulus and assess rock fracturability,considering mineral composition,geomechanics,and *** findings indicate that artificial neural networks effectively predict Young’s modulus,while K-Means clustering and hierarchical support vector machines excel in identifying rock and geomechanical *** Microscale thin section analysis in conjunction with fracture modeling enhances our understanding of fracture geometries and facilitates fracturability ***,fracturability is controlled by specific geomechanical facies during initiation and propagation and influenced by continuity of geomechanical facies in small depth *** conclusion,this study demonstrates data mining and machine learning potential for predicting rock properties and assessing fracturability,aiding hydraulic fracturing design optimization through diverse data and advanced methods.

关键词： Young’s modulus prediction fracability evaluation landing point selection rock mechanics machine learning

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Shale characteristics impact on Nuclear Magnetic Resonance (NMR) fluid typing methods and correlations

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Petroleum 2016年第2期2卷 138-147页

作者： Mohamed Mehana ilham el-monier University of Oklahoma Suez UniversityUSA University of Oklahoma USA

The development of shale reservoirs has brought a paradigm shift in the worldwide energy *** entails developing robust techniques to properly evaluate and unlock the potential of those *** application of Nuclear Magnetic Resonance techniques in fluid typing and properties estimation is well-developed in conventional ***,Shale reservoirs characteristics like pore size,organic matter,clay content,wettability,adsorption,and mineralogy would limit the applicability of the used interpretation methods and *** of these limitations include the inapplicability of the controlling equations that were derived assuming fast relaxation regime,the overlap of different fluids peaks and the lack of robust correlation to estimate fluid properties in *** study presents a state-of-the-art review of the main contributions presented on fluid typing methods and correlations in both experimental and theoretical *** study involves Dual Tw,Dual Te,and doping agent's application,T1-T2,D-T2 and T2sec vs.T1/T2 *** addition,fluid properties estimation such as density,viscosity and the gas-oil ratio is *** study investigates the applicability of these methods along with a study of the current fluid properties correlations and their ***,it recommends the appropriate method and correlation which are capable of tackling shale heterogeneity.

关键词： Shale Fluid typing Fluid properties Heterogeneity Nuclear Magnetic Resonance

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