Uda Hashim
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Preferred name
Uda Hashim
Official Name
Uda, Hashim
Alternative Name
Hashimb, U.
Hashim, Uda
Hashim, U.
Uda, Hashim
Main Affiliation
Scopus Author ID
22633937800
Researcher ID
CVC-6955-2022

Research Output

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  • Publication
    Novelty Studies on Amorphous Silica Nanoparticle Production from Rice Straw Ash
    ( 2020-07-09)
    Muhammad Nur Aiman Uda
    ;
    Subash Chandra Bose Gopinath
    ;
    Uda Hashim
    ;
    Muhammad Nur Afnan Uda
    ;
    Nor Azizah Parmin
    ;
    Halim N.H.
    ;
    Anbu P.
    Turning waste product into the valuable resources is the best alternative way to overcome the waste management issue. Generally, rice is grown and planted twice a year where a lot of rice by-products have been produced after harvesting the matured paddy. Rice straw is one of turning waste products into the valuable resources and to manage the environmental issues. Generally, rice is grown and planted twice a year where a lot of rice by-products are produced. Rices straw is one of the rice by-products, generated roughly 0.7-1.4 kg per kilograms of harvested milled rice. With the nanotechnological approach, silica particles at nano-size can be produced using the incinerated rice straw. In addition to that, this research will report the synthesis, characterization and adsorption analysis towards the heavy metal removal.
  • Publication
    Distinguishing normal and aggregated alpha-synuclein interaction on gold nanorod incorporated zinc oxide nanocomposite by electrochemical technique
    ( 2021-02-28)
    Adam H.
    ;
    Subash Chandra Bose Gopinath
    ;
    Mohd Khairuddin Md Arshad
    ;
    Nor Azizah Parmin
    ;
    Uda Hashim
    Misfolding and accumulation of the protein alpha synuclein in the brain cells characterize Parkinson's disease (PD). Electrochemical based aluminum interdigitated electrodes (ALIDEs) was fabricated by using conventional photolithography method and modified the surfaces with zinc oxide and gold nanorod by using spin coating method for the analysis of PD protein biomarker. The device surface modified with gold nanorod of 25 nm diameter was used. The bare devices and the surface modified devices were characterized by Scanning Electron Microscope, 3D-Profilometer, Atomic Force Microscope and high-power microscope. The above measurement was also performed to measure the interaction of antibody with aggregated alpha-synuclein for normal, aggregated and aggregated alpha synuclein in human serum and distinguished against 3 control proteins (PARK1, DJ-1 and Factor IX). The detection limit for normal alpha synuclein was 1 f. with the sensitivity of 1 f. on a linear regression (R2 = 0.9759). The detection limit for aggregated alpha synuclein was 10 aM with the sensitivity of 1 aM on a linear regression (R2 = 0.9797). Also, the detection limit of aggregated alpha synuclein in serum was 10 aM with the sensitivity of 1 aM on a linear regression (R2 = 0.9739). These results however indicate that, serum has only minimal amount of alpha synuclein.
  • 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.
  • Publication
    Production and characterization of graphene from carbonaceous rice straw by cost-effect extraction
    ( 2021-05-01)
    Muhammad Nur Aiman Uda
    ;
    Subash Chandra Bose Gopinath
    ;
    Uda Hashim
    ;
    Halim N.H.
    ;
    Nor Azizah Parmin
    ;
    Muhammad Nur Afnan Uda
    ;
    Anbu P.
    This paper describes the synthesis of graphene-based activated carbon from carbonaceous rice straw fly ash in an electrical furnace and the subsequent potassium hydroxide extraction. The produced graphene has a proper morphological structure; flakes and a rough surface can be observed. The average size of the graphene was defined as up to 2000 nm and clarification was provided by high-resolution microscopes (FESEM and FETEM). Crystallinity was confirmed by surface area electron diffraction. The chemical bonding from the graphene was clearly observed, with –C=C– and O–H stretching at peaks of 1644 cm−1 and 3435 cm−1, respectively. Impurities in the graphene were found using X-ray photoelectron spectroscopy and energy dispersive X-ray spectroscopy. The measured size, according to zeta-potential analysis, was 8722.2 ± 25 nm, and the average polydispersity index was 0.576. The stability of the mass reduction was analyzed by a thermogravimetric at 100 Â°C, with a final reduction of ~ 11%.
  • Publication
    Selective detection of amyloid fibrils by a dipole moment mechanism on dielectrode – Structural insights by in silico analysis
    ( 2023-03-01)
    Adam H.
    ;
    Subash Chandra Bose Gopinath
    ;
    Kumarevel T.
    ;
    Mohd Khairuddin Md Arshad
    ;
    Adam T.
    ;
    Zaliman Sauli
    ;
    Subramaniam S.
    ;
    Uda Hashim
    ;
    Chen Y.
    Amyloid fibrils are associated with different neurodegenerative diseases, a final product of several protein aggregation pathways. Parkinson's disease is a type of amyloidosis, characterized by the accumulation and propagation of amyloid fibrils of alpha-synuclein. The detection of fibrils at low concentrations is critical for the diagnosis of Parkinson's disease. We report a novel technique for the selective detection of amyloid fibrils through a dipole moment on a dielectrode surface. A sensitive dielectrode sensor for detecting aggregation of alpha synuclein and works by interacting an antibody on two-electrode surface functionalized gold interdigitated electrode. For the physical characterization of the sensing surface and finger electrodes, high-power microscope, scanning electron microscope, and 3D-profilormeter were used. Electrical characterization was performed on the sensing surface by using Keithley 6487 picoammeter. Based on the stability analysis with various electrolytes solutions, the sensor was found to be stable from pH 3. Further, under optimal circumstances, a linear range of alpha synuclein fibril detection was from 100 aM to 100 pM [y = 5E-06x + 5E-06; R² = 0.9724], and the limit of detection was estimated to be 100 aM based on S/N = 3. This study was further anchored by molecular docking analysis with synuclein peptide (47−56). We predict that advancements in this direction will assist in clarifying the complex process posed by Parkinson's disease.
  • 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.
  • Publication
    Synthesis of Zinc Oxide Nanoparticles via Cellar Spider Extract for Enhanced Functional Properties in Antimicrobial Activities
    ( 2024-06-12)
    Ismail J.M.
    ;
    Muhammad Nur Aiman Uda
    ;
    Irfan M.A.R.
    ;
    Hashim M.K.R.
    ;
    Arsat Z.A.
    ;
    Uda Hashim
    ;
    Shukor H.
    ;
    Afnan Uda M.N.
    ;
    Ibrahim N.H.
    ;
    Shamsuddin S.A.
    ;
    Parmin N.A.
    ;
    Isa M.
    ;
    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.
  • 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.
    ;
    Muttalib M.F.A.
    ;
    Abdullah F.
    ;
    Uda Hashim
    ;
    Subash Chandra Bose Gopinath
    ;
    Afnan Uda M.N.
    ;
    Shamsuddin S.A.
    ;
    Karim N.A.
    ;
    Yaakub A.R.W.
    ;
    Ibrahim N.H.
    ;
    Tijjani Adam
    ;
    Parmin N.A.
    ;
    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.
  • 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
    ;
    Shukor H.
    ;
    Afnan Uda M.N.
    ;
    Huzaifah M.R.M.
    ;
    Ali M.M.
    ;
    Ibrahim N.H.
    ;
    Makhtar M.M.Z.
    ;
    Ng Q.H.
    ;
    Hashim M.K.R.
    ;
    Arsat Z.A.
    ;
    Parmin N.A.
    ;
    Sofri L.A.
    ;
    Ruslan M.A.M.
    ;
    Adam T.
    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.