Publications

The influence of various solvents on the interaction between gemini surfactant (ester-bonded) and imipramine hydrochloride: An aggregational, interfacial, and thermodynamic study

Enzyme inhibition and antioxidant potential of new synthesized sulfonamides; synthesis, single crystal and molecular docking

Modification of alginic acid for the removal of dyes from aqueous solutions by solid-phase extraction

Industrial waste consisting of dyes has emerged as a major waterbody pollutant in these modern times. Therefore, an efficient method is required to remove and address these water contaminant concerns. The current study reported the fabrication of a new hybrid type carboxylatedalginic acid (CAA) coordinated with Sn-metal (Sn-CAA) green composite absorbent for the removal of toxic dyes such as Acid Red (AR.) and Brilliant Green (BG). To obtain CAA, alginic acid was chemically oxidised via KMnO4 and it was subsequently used to coordinate with Sn2+ metal ion. The characterisation such as field emission-scanning electron microscope, X-ray powder diffraction technique and Fourier-transform-infrared spectroscopy was carried out to confirm the fabrication of CAA and Sn-CAA adsorbents. Several parameters including shaking time, pH, heating and concentration-effect were employed to conduct solid-phase extraction and UV-vis spectroscopy experiments were conducted to confirm the successful removal of toxic dyes from the aqueous media. The dye removal results established the spontaneous and endothermic nature of dye removal process as assessed through obtained thermodynamic and kinetic parameters. Furthermore, for the removal of BG and AR, the fabricated Sn-CAA-based adsorbent found to be more proficient than pristine CAA.

CCDC 1422690: Experimental Crystal Structure Determination

Advanced Aqueous Ammonia Monitoring by Perceptive Chemi-Sensor for Environmental Safety

Environmental pollution is one of the global hot issues and need an urgent demand to detect and monitor the pollutants which affect the environment. Ammonia is one of the organic pollutants which cause severe harmful effect on environment due to its toxic nature. Therefore, electrochemical sensor has been fabricated using CeO2 nanoparticles (NPs) as a redox mediator to detect aqueous ammonia for environmental safety. The electrical response of the ethanol sensor was investigated by I-V technique which exhibited high sensitivity (0.3519 μA.cm-2.mM-1) and lower limit of detection (LOD = 0.395 μM). CeO2 nanoparticles were synthesized hydrothermally at low temperature and field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), Fourier transform infrared (FTIR), and Raman spectroscopy corroborated that the synthesized product is aggregated form of spherical nanoparticles, well crystalline possessing cubic phase with an average size of ~ 50 ± 10 nm. UV-Visible absorption spectrum confirmed that CeO2 nanoparticle is optically active with absorption band of 297 nm. Keywords: CeO2 nanoparticles, Structural properties, Optical properties, Ammonia chemi-sensor

Analysis of preliminary phytochemical screening of Typhonium flagelliforme

Typhonium flagelliforme (Araceae) is a medicinal herb which is endowed with curative properties against a variety of illness including injuries, oedema, coughs, pulmonary ailments, bleeding and cancer. In order to assess its phytochemical components, an experiment was conducted on one to six month old ex vitro and in vitro extracts of T. flagelliforme. The active (ex vitro and in vitro) extracts of T. flagelliforme were screened for phytochemicals components such as alkaloids, flavonlids, terpenoids and steroids. Alkaloids and flavonoids are the main phytochemical constituents of T. flagelliforme which are found to be in the highest amount in two and four month old of ex vitro plants. High amounts of main phytochemical constituents were observed during the flowering process which started in two month old plant and finished at the end of the three month old plant.   Key words: Typhonium flagelliforme, phytochemicals, traditional medicine.

Layered double hydroxides supported on multi-walled carbon nanotubes: preparation and CO2 adsorption characteristics

Layered double hydroxides (LDHs) are promising materials for CO2 sorption, although improvements in performance are required for practical applications. In the current study, the CO2 sorption capacity and multi-cycle stability were both increased by introducing an open supporting framework of multi-walled carbon nanotubes (MWNTs). This nanostructured inert network provides a high surface area, maximizing the gas accessibility and minimizing coarsening effects. Specifically, LDH nanoparticles were precipitated directly onto MWNTs, initially oxidised to ensure a favourable electrostatic interaction and hence a good dispersion. The dependence of the structural and physical properties of the Mg–Al LDH grown on MWNT supports has been studied, using electron microscopy, X-ray diffraction, thermogravimetric analysis (TGA), and BET surface area, and correlated with the CO2 sorption capacity, established via TGA and temperature programmed desorption measurements. The use of a MWNT support was found to improve the absolute capacity and cycle stability of the hybrid adsorbent under dry conditions.

HIGHLY DISPERSIVE SOLITONS IN OPTICAL COUPLERS WITH METAMATERIALS HAVING KERR LAW OF NONLINEAR REFRACTIVE INDEX

Training needs to develop the professional of Arabic language teachers

The objectives of this study were to assess the training needs for Arabic language instructors from the teachers' point of view, as well as to examine if there are statistically significant variations in the replies of Arabic language teachers to professional development training needs based on gender and experience. The research relied on the descriptive and analytical approach. The study sample included (107) male and female teachers, with a total of (25) items split across three dimensions. The study's findings revealed that there was a strong need for techniques for teaching Arabic language branches, while the need to analysis curricula and Arabic language books and delve deeper into the Arabic language was moderate degree. The results of the study also revealed that there were no statistically significant variations in the responses of the sample members related to the factors of gender and experience. Keywords training needs, professional development, teaching methods, curriculum analysis, language deepening, preparatory level.

Synthesis and spectral characterization of a new PPA dendrimer modified with 4-bromo-1,8-naphthalimide and in vitro antimicrobial activity of its Cu(II) and Zn(II) metal complexes

Nitrogen‐doped hollow carbon spheres as a support for the synthesis of multifunctional composites

This work develops an extended Stöber method to obtain SiO 2 @polydopamine with a one‐pot process. Such composites can be further processed to obtain hollow N‐doped carbon capsules (HNCSs). More importantly, the HNCSs can be used as templates to synthesise HNCSs@Fe 3 O 4 and HNCSs@MnO 2 composites, which greatly widened the application of HNCSs.

Synthesis of steroidal thiazolidinones as antibacterial agents based on the in vitro and quantum chemistry calculation

Nickel–iron foam as a three-dimensional robust oxygen evolution electrode with high activity

Temporal Semantic Parsing for Insider Threat Activity Modeling and Detection

Insider attacks have become increasingly frequent and more difficult to detect. Modeling user activities to capture the temporal features and connections between activities can enhance the detection of insider threats. In this work, we present a novel insider activity modeling approach that uses effective representations of user activities to enhance the detection performance. The proposed activity modeling and detection system has been evaluated using log files from the CMU CERT r4.2 insider dataset that provides the activities of employees for eighteen working months. Our results have shown that the proposed system achieves high malicious activity identification performance with the proposed data modeling techniques.

Effect of Organic Additives on the Phase Separation Phenomenon of Amphiphilic Drug Solutions

Abstract The effect of various organic additives, viz. sugars, ureas, alcohols, hydrotropes and bile salts on the clouding (phase separation) phenomenon of the amphiphilic antidepressant drug amitriptyline hydrochloride was investigated in the present study. All sugars lowered the cloud point (CP) due to their water structure‐making property. Urea and alkylureas were found to lower the CP. In contrast, thioureas increased the CP slightly, but the presence of methyl group(s) had a similar effect in alkylureas. Short chain alcohols affected the CP insignificantly while higher ones decreased it, and medium chain alcohols showed peak behavior. Addition of hydrotropes and bile salts increased the CP at lower concentrations, while a decrease was observed at higher concentrations (like the medium chain alcohols). In addition, thermodynamic parameters were also evaluated but only for those additives which formed mixed micelles with the drug.

Mn3O4 nanoparticles@reduced graphene oxide composite: An efficient electrocatalyst for artificial N2 fixation to NH3 at ambient conditions

Currently, industrial-scale NH3 production almost relies on energy-intensive Haber-Bosch process from atmospheric N2 with large amount of CO2 emission, while low-cost and high-efficient catalysts are demanded for the N2 reduction reaction (NRR). In this study, Mn3O4 nanoparticles@reduced graphene oxide (Mn3O4@rGO) composite is reported as an efficient NRR electrocatalyst with excellent selectivity for NH3 formation. In 0.1 M Na2SO4 solution, such catalyst obtains a NH3 yield of 17.4 μg·h−1·mg−1cat. and a Faradaic efficiency of 3.52% at −0.85 V vs. reversible hydrogen electrode. Notably, it also shows high electrochemical stability during electrolysis process. Density functional theory (DFT) calculations also demonstrate that the (112) planes of Mn3O4 possess superior NRR activity.

Machine Learning Models for Efficient Adsorption of Congo Red Dye on High-Performance Polyethyleneimine Macroporous Sponge

Real time detection and monitoring of 2, 4-dinitrophenylhydrazine in industrial effluents and water bodies by electrochemical approach based on novel conductive polymeric composite

Much attention has been given to detection and monitoring of hydrazine-based compounds in recent time because of its significant negative impacts on human health and ecosystem (aquatic lives). This prompted the current study focusing on detection of 2, 4-dinitrophenylhydrazine (2, 4-dnphz) using electrochemically synthesized poly-para amino benzoic acid-manganese oxide (P-pABA-MnO₂) composite film. The synthesized P-pABA-MnO₂ composite film was characterized in terms of its structural and morphological properties by X-ray diffraction spectroscopy and field emission scanning electron microscopy respectively. In addition, functionalities and binding energy of p-PABA-MnO2 were confirmed using Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy respectively. Finally, electrochemical properties were investigated using electrochemical impedance spectroscopy and cyclic voltammetry. The synthesized P-pABA-MnO₂ displayed good electrocatalytic reduction property towards 2, 4-dnphz with ultra-low limit of detection (0.08 μM; S/N = 3) and very high sensitivity (52 μAμ^-1Mcm^-2). The proposed sensor based on P-pABA-MnO₂ also demonstrated good stability in terms of repeatability, reproducibility and interferents effects. Lastly, the proposed sensor was satisfactorily used in detection of 2, 4-dnphz in environmental real samples.