Nor Azizah Parmin
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Preferred name
Nor Azizah Parmin
Official Name
Nor Azizah, Parmin
Alternative Name
Parmin, N. A.
Parmin, Nor Azizah
Parmin, Nor A.
Main Affiliation
Scopus Author ID
57195835481
Researcher ID
S-6303-2019

Research Output
Now showing 1 - 2 of 2
  • Publication
    Arthropods-mediated green synthesis of Zinc oxide nanoparticles using cellar spider extract a biocompatible remediation for environmental approach
    ( 2024-06)
    Muzamir Isa
    ;
    Muhammad Nur Aiman Uda
    ;
    M. A. R. Irfan
    ;
    Uda Hashim
    ;
    Subash Chandra Bose Gopinath
    ;
    Hafiza Shukor
    ;
    MRM Huzaifah
    ;
    Maimunah Mohd Ali
    ;
    Nur Hulwani Ibrahim
    ;
    Muaz Mohd Zaini Makhtar
    ;
    Ng Qi Hwa
    ;
    Mohd Khairul Rabani Hashim
    ;
    Zainal Abidin Arsat
    ;
    Nor Azizah Parmin
    ;
    Liyana Ahmad Sofri
    ;
    Mahfuz Affif Mohd Ruslan
    ;
    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.
  • Publication
    Facile electrical DNA genosensor for human papillomavirus (HPV 58) for early detection of cervical cancer
    ( 2023-07)
    F. Nadhirah Jaapar
    ;
    Nor Azizah Parmin
    ;
    Nur Hamidah Abdul Halim
    ;
    Uda Hashim
    ;
    Subash Chandra Bose Gopinath
    ;
    Ruslinda A. Rahim
    ;
    Sh. Nadzirah
    ;
    Voon Chun Hong
    ;
    Muhammad Nur Aiman Uda
    ;
    Wei Chern Ang
    ;
    Iffah Izzati Zakaria
    ;
    Zulida Rejali
    ;
    Amilia Afzan
    ;
    Azrul Azlan Hamzah
    ;
    Chang Fu Dee
    ;
    F. Syakirah Halim
    For decades, a Pap smear test has been applied as a conventional method in detecting Human Papillomavirus caused cervical cancer. False-positive results were also recorded while using it as conventional method. Current biosensor such as Hybrid (II) Capture resulted in higher time consumption and cost. s Meanwhile, in this study we provided facile, mini, rapid, highly sensitive, eco-friendly, and cost-effective sensing system focusing on HPV strain 58 (HPV58) in a nano-size lab-on-chip technology genosensor. 30-mer of virus ssDNA designed and analyzed as a probe via bioinformatics tools such as GenBank, Basic Local Alignment Searching Tools (BLAST) and ClustalW. Nanotechnology-developed colloidal Gold-nanoparticles (AuNPs) are used in the biosensor fabrication to produce high stability and electron efficient transmission during electrical measurement. AuNPs-APTES modified on active sites of IDEs, followed by immobilization of specific probe ssDNA for HPV 58. Hydrogen binding during hybridization with its target produce electrical signals measured by KEITHLEY 2450 (Source Meter). The genosensor validated with different types of targets such as complimentary, non-complementary and single mismatch oligonucleotides. The serial dilution of target concentration has been experimented triplicate (n=3) range from 1fM to 10μM. The slope of calibration curve resulted 2.389E-0 AM-1 with regression coefficient (R2) = 0.97535.