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Synthesis, characterization, and antimicrobial activities of 3-HPAA-Alg-Chi nanoparticles

Encapsulation of bioactive compounds (e.g., phenolic acids) into nanoparticles is a well-received technique in the searching for new antimicrobial agents against multidrug-resistant pathogens. Encapsulation can be a good technique to maintain the stability of phenolic acids against environmental conditions. In this study, 3-hydroxyphenylacetic acid (3-HPAA) was encapsulated into alginate-chitosan nanoparticles with the ion gelation technique. The characterization of loaded and unloaded nanoparticles was performed via dynamic light scattering, Fourier transform infrared spectroscopy, and scanning electron microscopy. According to the results, 3-HPAA loaded nanoparticles have spherical shapes with a diameter range of 40-80 nm and an average hydrodynamic diameter of 361.0 +_ 69.8 nm. The loading of 3-HPAA was successfully achieved based on the Fourier transform infrared spectra and encapsulation percentage studies. The antimicrobial effect of the nanoparticles in solution forms was tested on P. aeruginosa, S. epidermidis, MRSA, and MSSA. The results demonstrated that the 3-HPAA loaded alginate chitosan nanoparticle solution showed elevated antimicrobial effect due to the pH change by treatment with 1% acetic acid, and it displayed bacteriocidal effects in a strain-specific and dose-dependent manner. Therefore, the 3-HPAA loaded alginate chitosan nanoparticle solution was produced successfully with the bacteriocidal effect against serious pathogenic bacteria.

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Optimized behavior of long-term rainfall for the red sea semi-arid region

Precipitation is one of the most significant variables with an impact on the environment, agriculture, as well as the design of any hydraulic infrastructures. The rainfall analysis predicts the highest, average, and minimal values of rainfall that are expected in certain catchments for return periods. The long-term variability of rainfall over the Arbaat watershed was studied at the various stations in a duration (day, month, and year) from 1942 to 2010 rainfall runoff using the Isohyetal Map of the area besides using different plotting position formulae of rainfall ratios. This statistical analysis will offer valuable data for water resource planners for Port Sudan, farmers, and Red Sea Water Corporations engineers (RSSWC) to evaluate the availability of water and create the storage accordingly. From the rainfall-depth analysis outcomes, the rainfall pattern was found to be irregular. Although the historical data was used, the meteorological observation of Suakin, Sinkat, and Arbaat stations was stopped from work. However, Port Sudan station gave reliable results without resorting to precipitation data measured by the satellites. Besides, the outcomes of this study can provide rational guidelines and policy concerning water resources to preserve the health of several ecosystems in the regions of under study.

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Nano-SiO2 for efficiency of geotechnical properties of fine soils in mining and civil engineering

Taking into account the decreased number of available lands, the construction of structures on soft soil leads towards the development of soil stabilizing models. This study is aimed at studying the decrement of land resources available, and the design of civil engineering structures on soft soils that will develop the soil impact of nano-SiO2 in the use of clay soil with low liquid limit, in particular shear resistance and unconfined compression. A novel nano-soil stabilizer has been created in this investigation by use of nano-SiO2 activity and ultrafine features that have enabled cement-based stabilizers to increase their characteristics in broad application possibilities. This research aims to examine the influence on soil engineering, particularly the shear strength of clay soil with a low liquid limit to the effect of adding nano-SiO2. Nano-SiO2 has 3 different percentages combined with soil (i.e., 0.5, 0.7 percent by weight of the parent soil), A direct shear test was used to evaluate the shear strength of the specimen, and then the results were analyzed by Artificial Neural Network (ANN) to increase the accuracy of outcomes. Increased nano-SiO2 concentration was shown to lead to an increased internal friction angle and cohesiveness on clay soil. The optimal content for nano-SiO2 is 0.7%. ANN could accurately demonstrate the shear strength percentages in nano-SiO2 content.

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