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CONTEXT: Phographene and its family member structures are of the newly proposed semiconductors for detection of chemicals. That is, in this project, the potential of using α-phographene (α-POG) both for adsorption and detection of five types of the most important air pollutant gases containing SO2, AsH3, CF3H, NO2, and CO2 species were investigated. The results of the time dependent density functional theory (TD-DFT) calculations indicate that during the adsorption of NO2, and SO2 by the sorbent, big redshifts occur (up to 866.2 nm, and 936.5, respectively) resulting in considerable changes in the orbitals and the electronic structures of the systems. Moreover, the results of the thermodynamic calculations reveal that α-POG could selectively adsorb SO2, NO2, and AsH3 gases (with different orders), but it could not adsorb the two other gases.Finally, the outcome of the band gap calculations shows that between all mentioned gases, α-POG could selectively detect the presence of SO2, and then NO2; while, this nanosheet could not sense the existence of AsH3, CF3H, or CO2 gases. METHODS: All of the calculations were carried out by using the Gaussian 03 quantum chemical package. In addition, the physiochemical parameters were extracted from the output files for further calculations. Studies on all saddle points and the following calculations were performed applying the B3LYP/6-311g(d,p) level of theory.
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INTRODUCTION: Acinetobacter baumannii (A.baumannii) is a ubiquitous pathogen responsible for serious infections in hospitalized patients with a high propensity to develop resistance to antimicrobial agents. The study aimed to determine the antimicrobial resistance patterns and the prevalence of aminoglycoside resistance genes among A. baumannii clinical isolates from patients in different intensive care units (ICUs) in Alexandria, Egypt. METHODS: A total of 100 A. baumannii isolates collected from ICU patients were confirmed as A. baumannii by VITEK 2 and the presence of the blaOXA-51 gene has been reported. Antimicrobial susceptibility testing was performed and Multiplex PCR was done for the detection of aminoglycoside resistance genes. RESULTS: Most of the isolates (82%) were resistant to all tested aminoglycosides; resistance was higher for kanamycin and neomycin, followed by amikacin. The predominant AMEs were aphA6 and aphA1 in 86% and 67% of the isolates, respectively; aacA4 and aacC1 were detected in 37% and 8%, respectively, while aadA1 and aadB were present in 34% and 4%, respectively. Furthermore, the armA gene was detected in 83% of the isolates. CONCLUSION: The results of this study revealed a high level carriage of armA and AMEs, which limit the usage of aminoglycoside as a treatment option for A. baumannii and make treatment extremely difficult.