Tijjani Adam
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Preferred name
Tijjani Adam
Official Name
Tijjani, Adam
Alternative Name
Adam, T.
Adama, Tijjani
Adam, Tijjani
Adam, Tijjan
Tijjani, A.
Main Affiliation
Scopus Author ID
55074964600
Researcher ID
AAH-5534-2019

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  • Publication
    Synthesis of Zinc Oxide Nanoparticles via Cellar Spider Extract for Enhanced Functional Properties in Antimicrobial Activities
    ( 2024-06-12)
    Jasni Mohamed Ismail
    ;
    Muhammad Nur Aiman Uda
    ;
    Irfan Abd Rahim
    ;
    Mohd Khairul Rabani Hashim
    ;
    Zainal Abidin Arsat
    ;
    Uda Hashim
    ;
    Hafiza Shukor
    ;
    Afnan Uda M.N.
    ;
    Ibrahim N.H.
    ;
    Shahidah Arina Shamsuddin
    ;
    Nor Azizah Parmin
    ;
    Muzamir Isa
    ;
    Zain M.Z.M.
    ;
    Ilyas R.A.
    ;
    Tijjani Adam
    This study explores the green synthesis of zinc oxide nanoparticles (ZnO NPs) using cellar spider extracts as a sustainable alternative to traditional methods involving hazardous chemicals and radiation. The spider extracts effectively reduced zinc acetate dihydrate, yielding white precipitates indicative of ZnO NPs. Characterization through SEM revealed diverse morphologies, including spherical, rod-like, hexagonal, and uneven particles forming platelet-like aggregates. Further analyses, such as HPM, 3D nanoprofiler, and EDS, provided insights into size, shape, morphology, surface chemistry, thermal stability, and optical characteristics, quantifying the intended properties of the synthesized ZnO NPs. Antibacterial assays against E. coli and B. subtilis demonstrated significant antibacterial activity, affirming the nanoparticles' potential for antimicrobial applications. This green synthesis approach, validated through comprehensive characterization and quantitative measurements, offers a promising and environmentally friendly route for producing functional ZnO NPs.
      4
  • Publication
    Optoelectronic behavior of ZnS compound and its alloy: A first principle approach
    ( 2021-06-01)
    Akeem Adekunle Adewale
    ;
    Abdullah Chik
    ;
    Tijjani Adam
    ;
    Joshua Tolulope Majekodunmi
    ;
    Durowoju M.O.
    First principles calculations were employed to study the structural, electronic and optical properties of pristine ZnS and its alloy compounds; Zn0.75Cr0.25S, Zn0.75Ti0.25S & Zn0.50Cr0.25Ti0.25S. To investigate these, full potential linear augmented plane wave (FPLAPW) based on density functional theory (DFT) was adopted as implement in WIEN2K code by employing generalized gradient approximation (GGA) of the revised Perdew-Burke Erzenhoff (PBE) as exchange correlation function. Lattice constant, volume, bulk modulus and other physical parameters were calculated for structural properties. Variation in these parameters in crystal structure is related to difference in ionic radius of host and replaced atom. The results of band structure and density of states were determined for electronic properties. The pristine ZnS and Zn0.75Ti0.25S compounds are semiconductor in nature while Zn0.75Cr0.25S and Zn0.50Cr0.25Ti0.25S displayed metallic character. Optical parameters including absorption coefficient, energy loss function, complex refractive index; refractive index and extinction coefficient, and optical conductivity have been computed from the dielectric function at energy range of 0–25 eV. Static dielectric constant for ε1(ω) are found to be 6.61, 1811.89, 155.46 and 1446.14 in ZnS, Zn0.75Cr0.25S, Zn0.75Ti0.25S and Zn0.50Cr0.25Ti0.25S respectively. The mean peaks of absorption are found at energy range of ∼5–10.5 eV for all studied compounds. We obtained noble performance of optical conductivity of doped at 0–7 eV which is due to presence of 3d – orbitals in the doped compounds. Our results are compared with available theoretical calculations and the experimental data.
      4  1
  • Publication
    Arthropods-mediated Green Synthesis of Zinc Oxide Nanoparticles using Cellar Spider Extract: A Biocompatible Remediation for Environmental Approach
    ( 2024-06-12)
    Muzamir Isa
    ;
    Muhammad Nur Aiman Uda
    ;
    Irfan M.A.R.
    ;
    Uda Hashim
    ;
    Subash Chandra Bose Gopinath
    ;
    Hafiza Shukor
    ;
    Afnan Uda M.N.
    ;
    Huzaifah M.R.M.
    ;
    Ali M.M.
    ;
    Ibrahim N.H.
    ;
    Makhtar M.M.Z.
    ;
    Ng Q.H.
    ;
    Mohd Khairul Rabani Hashim
    ;
    Zainal Abidin Arsat
    ;
    Nor Azizah Parmin
    ;
    Liyana Ahmad Sofri
    ;
    Ruslan M.A.M.
    ;
    Tijjani Adam
    This study presents an eco-friendly approach to synthesizing zinc oxide nanoparticles (ZnO NPs) using extracts from cellar spiders, addressing environmental and health concerns associated with conventional methods. The spider extract efficiently reduced zinc acetate dihydrate, and the synthesized ZnO NPs underwent comprehensive quantitative characterization, including size, shape, morphology, surface chemistry, thermal stability, and optical properties using Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), zeta potential measurements, thermogravimetric analysis (TGA), and UV-vis spectroscopy. The nanoparticles exhibited intended characteristics, and their adsorption capability for methylene blue (MB) was quantitatively assessed using the Freundlich isotherm model and pseudo-second-order kinetic model, providing numerical insights into MB removal efficiency. The study demonstrates the potential of these green-synthesized ZnO NPs for applications in environmental remediation, wastewater treatment, and antibacterial therapies, contributing to both sustainable nanomaterial development and quantitative understanding of their functional properties.
      3  1
  • Publication
    Recent advances in density functional theory approach for optoelectronics properties of graphene
    ( 2023-03-01)
    Olatomiwa A.L.
    ;
    Tijjani Adam
    ;
    Edet C.O.
    ;
    Adewale A.A.
    ;
    Abdullah Chik
    ;
    Mohammed M.
    ;
    Subash Chandra Bose Gopinath
    ;
    Uda Hashim
    Graphene has received tremendous attention among diverse 2D materials because of its remarkable properties. Its emergence over the last two decades gave a new and distinct dynamic to the study of materials, with several research projects focusing on exploiting its intrinsic properties for optoelectronic devices. This review provides a comprehensive overview of several published articles based on density functional theory and recently introduced machine learning approaches applied to study the electronic and optical properties of graphene. A comprehensive catalogue of the bond lengths, band gaps, and formation energies of various doped graphene systems that determine thermodynamic stability was reported in the literature. In these studies, the peculiarity of the obtained results reported is consequent on the nature and type of the dopants, the choice of the XC functionals, the basis set, and the wrong input parameters. The different density functional theory models, as well as the strengths and uncertainties of the ML potentials employed in the machine learning approach to enhance the prediction models for graphene, were elucidated. Lastly, the thermal properties, modelling of graphene heterostructures, the superconducting behaviour of graphene, and optimization of the DFT models are grey areas that future studies should explore in enhancing its unique potential. Therefore, the identified future trends and knowledge gaps have a prospect in both academia and industry to design future and reliable optoelectronic devices.
      2
  • Publication
    Nanosensors: Recent perspectives on attainments and future promise of downstream applications
    ( 2022-06-01)
    Tijjani Adam
    ;
    Dhahi T.S.
    Nano Sensors are sensing devices with a dimension of less than or equal to 100 nm. They are incredibly tiny devices that transform physical, chemical, or biological substances into detectable signals. Because of this device's capacity to detect physical and chemical changes, nanotechnology has emerged as a technology of choice in a variety of industries. The device provides efficient and cost-effective methods for detecting and measuring chemical and physical characteristics. This overview discusses the status of Nano Sensors, as well as their accomplishments and potential applications toward downstream targets in medical, security, agriculture as well in Covid-19 detection. The paper provides a summary and critical analysis of various architectures (structures) employed in the development and use of Nano Sensors. Surface engineering is used to generate diverse chemistries for both general and specialised purposes. We derived fresh findings from available data on the mechanism, prospective development of various structures, approaches, and applications, and highlighted the contrasts and similarities in their characteristics and working processes. The review further summarised ability and future expected of this sensor in dealing with the various challenges where different nano sensors, types, fabrication techniques and applications with highlighted novelties of these techniques and applications are presented.
      2
  • Publication
    Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
    ( 2021-12-01)
    Muhammad Nur Aiman Uda
    ;
    Subash Chandra Bose Gopinath
    ;
    Uda Hashim
    ;
    Halim N.H.
    ;
    Nor Azizah Parmin
    ;
    Muhammad Nur Afnan Uda
    ;
    Anbu P.
    ;
    Tijjani Adam
    Arsenic is a major global threat to the ecosystem. Here we describe a highly accurate sensing platform using silica nanoparticles/graphene at the surface of aluminum interdigitated electrodes (Al IDE), able to detect trace amounts of arsenic(III) in rice grain samples. The morphology and electrical properties of fabricated Al IDEs were characterized and standardized using AFM, and SEM with EDX analyses. Micrometer scale Al IDEs were fabricated with silicon, aluminum, and oxygen as primary elements. Validation of the bare Al IDE with electrolyte fouling was performed at different pH levels. The sensing surface was stable with no electrolyte fouling at pH 7. Each chemical modification step was monitored with current–volt measurement. The surface chemical bonds were characterized by fourier transform infrared spectroscopy (FTIR) and revealed different peaks when interacting with arsenic (1600–1000 cm−1). Both silica nanoparticles and graphene presented a sensitive limit of detection as measured by slope calibration curves at 0.0000001 pg/ml, respectively. Further, linear regression was established using ΔI (A) = 3.86 E−09 log (Arsenic concentration) [g/ml] + 8.67 E−08 [A] for silica nanoparticles, whereas for graphene Y = 3.73 E−09 (Arsenic concentration) [g/ml] + 8.52 E−08 on the linear range of 0.0000001 pg/ml to 0.01 pg/ml. The R2 for silica (0.96) and that of graphene (0.94) was close to the maximum (1). Modification with silica nanoparticles was highly stable. The potential use of silica nanoparticles in the detection of arsenic in rice grain extract can be attributed to their size and stability.
      2
  • Publication
    Analysis on Silica and Graphene Nanomaterials Obtained From Rice Straw for Antimicrobial Potential
    ( 2024-06-12)
    Muhammad Nur Aiman Uda
    ;
    A Jalil N.H.
    ;
    Muhammad Firdaus Abdul Muttalib
    ;
    Fadhilnor Abdullah
    ;
    Uda Hashim
    ;
    Subash Chandra Bose Gopinath
    ;
    Afnan Uda M.N.
    ;
    Shahidah Arina Shamsuddin
    ;
    Norizah Abd Karim
    ;
    Ahmad Radi Wan Yaakub
    ;
    Ibrahim N.H.
    ;
    Tijjani Adam
    ;
    Nor Azizah Parmin
    ;
    Baharum N.A.
    This study focuses on the encapsulation of silica and graphene nanoparticles and their potential applications. The encapsulation enhances the properties and effectiveness of these nanoparticles, with silica providing stability and graphene contributing to high surface area and electrical conductivity. Characterization of silica-graphene nanoparticles was conducted using various techniques including High Power Microscope (HPM), Scanning Electron Microscope (SEM), Energy-dispersive X-ray spectroscopy (EDS), and 3D Nano Profiler. The antimicrobial activity of silica, graphene, and silica-graphene nanoparticles was evaluated using a disc diffusion assay against E. coli and B. subtilis at varying concentrations. Results showed significant antimicrobial activity, with the inhibition zone being directly proportional to the concentration. Silica-graphene nanoparticles demonstrated higher efficacy against E. coli compared to B. subtilis, attributed to differences in cell wall structure. Statistical analysis using ANOVA confirmed significant differences in antimicrobial activity among the tested components.
      4
  • Publication
    Recent advances in density functional theory approach for optoelectronics properties of graphene
    ( 2023-03-01)
    Olatomiwa A.L.
    ;
    Tijjani Adam
    ;
    Edet C.O.
    ;
    Adewale A.A.
    ;
    Abdullah Chik
    ;
    Mohammed M.
    ;
    Subash Chandra Bose Gopinath
    ;
    Uda Hashim
    Graphene has received tremendous attention among diverse 2D materials because of its remarkable properties. Its emergence over the last two decades gave a new and distinct dynamic to the study of materials, with several research projects focusing on exploiting its intrinsic properties for optoelectronic devices. This review provides a comprehensive overview of several published articles based on density functional theory and recently introduced machine learning approaches applied to study the electronic and optical properties of graphene. A comprehensive catalogue of the bond lengths, band gaps, and formation energies of various doped graphene systems that determine thermodynamic stability was reported in the literature. In these studies, the peculiarity of the obtained results reported is consequent on the nature and type of the dopants, the choice of the XC functionals, the basis set, and the wrong input parameters. The different density functional theory models, as well as the strengths and uncertainties of the ML potentials employed in the machine learning approach to enhance the prediction models for graphene, were elucidated. Lastly, the thermal properties, modelling of graphene heterostructures, the superconducting behaviour of graphene, and optimization of the DFT models are grey areas that future studies should explore in enhancing its unique potential. Therefore, the identified future trends and knowledge gaps have a prospect in both academia and industry to design future and reliable optoelectronic devices.
      2  5