Kamel, S.H., R.F. Al-Jassani and H.A. Al-Shammari. 2022. Effects of Pseudomonas fluorescens, Bacillus thuringiensis tenebrionis Isolates and Biologically Synthesized Silver Nanoparticles on Cellulase Enzyme Activity in Workers' Digestive System of the Termite Microcerotermes diversus Silv. Arab Journal of Plant Protection, 40(4): 315-324. https://doi.org/10.22268/AJPP-40.4.315324 The purpose of this study was to investigate the effect of different bacterial isolates of P. fluorescens and B. t. tenebrionis and silver nanoparticles on the activity of the cellulase enzyme in termites' middle digestive system and its role in glucose release by treating cellulose media with bacterial strains and nanoparticles. Ultraviolet spectroscopy results revealed that silver nanoparticles synthesized by P. fluorescens isolated from termites, commercial P. fluorescens, and local B.t. tenrbrionis had the highest absorption at 385, 324, and 324 nm wave length, respectively. Infrared spectroscopy (FTIR) revealed that ketons, amines, alkanes, and alcohols were among the groups that contributed to silver ions reduction, capping and stabilizing nanoparticles. The particle diameters were measured using a scanning electron microscope (SEM) and found to be on average 32.43, 63.19, and 57.62 nm. The highest concentration of liberated glucose was recorded after 24 hours, which ranged between 0.453 and 1.285 mg/ml when treated with silver nanoparticles prepared from a commercial isolate of P. fluorescens bacteria and when treated with a bacterial isolate P. fluorescens, respectively. Only when treated with synthesized silver nanoparticles and when treated with commercial P. fluorescens isolates did the lowest concentrations of liberated sugar reached between 0.037 and 0.730 mg/ml after 72 hours, respectively. The high quantity of liberated sugar in the control treatment was constant, reaching 1.70 and 2.33 mg/ml after 24 and 72 hours, respectively. In addition to the variation in cellulase enzyme inhibition rates in termite digestive systems due to the effect of different treatments, it was discovered that the local isolate of B. t. tenrbrionis was better than the rest of the isolates in affecting the enzyme, causing inhibition rates of 71.42%. Furthermore, silver nanoparticles synthesized from a commercial isolate of P. fluorescens outperformed other treatments in inhibiting enzyme activity, with an inhibition rate of 78.57% . Keywords: Pseudomonas fluorescens, Bacillus thuringiensis tenebrionis, silver nanoparticles, Microcerotermes diversus
A Stereomicroscopic Evaluation of Four Endodontic Sealers Penetration into Artificial Lateral Canals Using Gutta-Percha Single Cone Obturation Technique, Omar Jihad Banawi*, Raghad
Composite materials are widely used in the engineered assets as aerospace structures, marine and air navigation owing to their high strength/weight ratios. Detection and identification of damage in the composite structures are considered as an important part of monitoring and repairing of structural systems during the service to avoid instantaneous failure. Effective cost and reliability are essential during the process of detecting. The Lamb wave method is an effective and sensitive technique to tiny damage and can be applied for structural health monitoring using low energy sensors; it can provide good information about the condition of the structure during its operation by analyzing the propagation of the wave in the
... Show MoreObjective(s): The study aims at evaluating pregnancy-related health behaviors for pregnant women, and to identify the association between pregnancy-related health behaviors and their demographic characteristics of pregnant woman’s age, education, employment, residential area and monthly income.
Methodology: A descriptive study is carried out for the period from December 14th, 2020 to June 20th, 2021. This study was conducted through a non-probability (convenience) sample of 150 pregnant women attending, Abo Ghareeb primary health care sector in Abo Ghareeb spend. The sample has been collected by using the instrument to gather data and accomplish the study's objectives. A questionnaire is composed of (29) items and it is divided into
This study offers numerical simulation results using the ABAQUS/CAE version 2019 finite element computer application to examine the performance, and residual strength of eight recycle aggregate RC one-way slabs. Six strengthened by NSM CFRP plates were presented to study the impact of several parameters on their structural behavior. The experimental results of four selected slabs under monotonic load, plus one slab under repeated load, were validated numerically. Then the numerical analysis was extended to different parameters investigation, such as the impact of added CFRP length on ultimate load capacity and load-deflection response and the impact of concrete compressive strength value on the structural performance of
... Show MoreThis study was done to evaluate a new technique to determine the presence of methamphetamine in the hair using nano bentonite-based adsorbent as the filler of extraction column. The state of the art of this study was based on the presence of silica in the nano bentonite that was assumed can interact with methamphetamine. The hair used was treated using methanol to extract the presence of methamphetamine, then it was continued by sonicating the hair sample. Qualitative analysis using Marquish reagent was performed to confirm the presence of methamphetamine in the isolate.The hair sample that has been taken in a different period confirmed that this current developing method can be used to analyzed methamphetamine. This m
... Show MoreThe current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
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