Muhammad Nur Aiman Uda
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Preferred name
Muhammad Nur Aiman Uda
Official Name
Muhammad Nur Aiman, Uda
Alternative Name
Uda, M. N.A.
Aiman Uda, Muhammad Nur
Uda, M. N.A.
Main Affiliation
Scopus Author ID
55984680000
Researcher ID
V-7751-2019

Research Output
Now showing 1 - 2 of 2
  • Publication
    Revisiting the optoelectronic properties of graphene : a DFT approach
    ( 2024-01)
    L.O Agbolade
    ;
    Alaa Kamal Yousif Dafhalla
    ;
    A.Wesam Al-Mufti
    ;
    Zainal Abidin Arsat
    ;
    Tijjani Adam
    ;
    Abdullah Chik
    ;
    Subash Chandra Bose Gopinath
    ;
    Muhammad Nur Aiman Uda
    ;
    Uda Hashim
    Understanding the atomic behaviour of pure graphene is crucial in manipulating its properties for achieving optoelectronics with high absorption indexes and efficiencies. However, previous research employing the DFT approach emphasised its zero-band gap nature, not its unique optical properties. Therefore, this study employed ab initio calculations to revisit the electronic, magnetic, and optical properties of pristine graphene using the WIEN2K code. The results reveal that the PBE-GGA valence and conduction bands cross at -0.7 eV. Our calculations demonstrated that the absorption coefficient of graphene has the strongest light penetration in the parallel direction. Furthermore, our results not only present the best possible propagation of light in pure graphene but also reveal that the linear relationship between the formation of the free electron carriers and the energy absorption is responsible for the high optical conductivity observed in pure graphene, as indicated by the peaks. Lastly, the metallic properties of graphene are reflected by the variation in spin up and down that appears, as evidenced by the total and partial densities of states, and the large refractive index attributed to its high electron mobility confirms its metallic nature.
      48  2
  • Publication
    Conductometric immunosensor for specific Escherichia coli O157:H7 detection on chemically funcationalizaed interdigitated aptasensor
    ( 2024)
    Muhammad Nur Afnan Uda
    ;
    Alaa Kamal Yousif Dafhalla
    ;
    Thikra S. Dhahi
    ;
    Tijjani Adam
    ;
    Subash Chandra Bose Gopinath
    ;
    Asral Bahari ambek
    ;
    Muhammad Nur Aiman Uda
    ;
    Nor Azizah Parmin
    ;
    Nur Hulwani Ibrahim
    ;
    Uda Hashim
    Escherichia coli O157:H7 is a strain of Escherichia coli known for causing foodborne illness through the consumption of contaminated or raw food. To detect this pathogen, a conductometric immunosensor was developed using a conductometric sensing approach. The sensor was con-structed on an interdigitated electrode and modified with a monoclonal anti-Escherichia coli O157: H7 aptamer. A total of 200 electrode pairs were fabricated and modified to bind to the target molecule replica. The binding replica, acting as the bio-recognizer, was linked to the electrode surface using 3-Aminopropyl triethoxysilane. The sensor exhibited excellent performance, detecting Escherichia coli O157:H7 in a short time frame and demonstrating a wide detection range of 1 fM to 1 nM. Concentrations of Escherichia coli O157:H7 were detected within this range, with a minimum detection limit of 1 fM. This innovative sensor offers simplicity, speed, high sensitivity, selectivity, and the potential for rapid sample processing. The potential of this pro-posed biosensor is particularly beneficial in applications such as drug screening, environmental monitoring, and disease diagnosis, where real-time information on biomolecular interactions is crucial for timely decision-making and where cross-reactivity or interference may compromise the accuracy of the analysis.
      1  35