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Nor Azizah Parmin
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
Now showing
1 - 10 of 55
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PublicationTitanium dioxide–mediated resistive nanobiosensor for E. coli O157:H7( 2020-04-01)
;Nadzirah S. ; ; ; ;Hamzah A.A. ;Yu H.W.Dee C.F.A titanium dioxide nanoparticle (TiO2 NP)–mediated resistive biosensor is described for the determination of DNA fragments of Escherichia coli O157:H7 (E. coli O157:H7). The sol-gel method was used to synthesize the TiO2 NP, and microlithography was applied to fabricate the interdigitated sensor electrodes. Conventional E. coli DNA detections are facing difficulties in long-preparation-and-detection-time (more than 3 days). Hence, electronic biosensor was introduced by measuring the current-voltage (I–V) DNA probe without amplification of DNA fragments. The detection scheme is based on the interaction between the electron flow on the sensor and the introduction of negative charges from DNA probe and target DNA. The biosensor has a sensitivity of 1.67 × 1013 Ω/M and a wide analytical range. The limit detection is down to 1 × 10−11 M of DNA. The sensor possesses outstanding repeatability and reproducibility and is cabable to detect DNA within 15 min in a minute-volume sample (1 μL). [Figure not available: see fulltext.]. -
PublicationThe study of sensing elements parameters optimization for developed biosensor of SARS-CoV-2 detection( 2023-04)
;Fatin Syakirah Halim ; ; ; ; ;Iffah Izzati Zakaria ;Wei Chern AngNurfareezah Nadhirah JaaparNew advancements in developing sensitive and selective biosensors have demonstrated outstanding potential for Deoxyribonucleic Acid (DNA biosensors). The detection mode of DNA biosensors primary depends on a particular DNA hybridization that precisely occurs on the surface of the physical transducer that can only be detected using high-performance assays due to slight current changes. The analytical performance (sensitivity) of the DNA biosensor is conclusively rely on the confluence constructing of the sensing surface, which must be optimized. Thus, in this study, the sensing elements of the developed biosensors were optimized for detecting RNA of SARS-CoV-2. This optimization included concentration of nanomaterials (carbon quantum dots), probe density (concentration of DNA probe) and concentration of linker (APTES). It was observed that 0.15 % V/V of concentration CQD, 0.1μM of DNA probe and 36% V/V of APTES were the optimum parameters which provided their maximum response during electrical measurements and increased the sensitivity of the developed biosensor for SARS-CoV-2 detection -
PublicationProduction and characterization of graphene from carbonaceous rice straw by cost-effect extraction( 2021-05-01)
; ; ; ;Halim N.H. ; ;Muhammad Nur Afnan UdaAnbu 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 °C, with a final reduction of ~ 11%. -
PublicationVoltammetric DNA Biosensor for Human Papillomavirus (HPV) Strain 18 Detection( 2020-07-09)
;Mhd Akhir M.A. ; ; ; ;Rejali Z. ;Afzan A. ; ;Muhammad Nur Afnan UdaThis research was developed to focus on the study of the voltammetric DNA biosensor for the detection of HPV strain 18. In this research, electrical DNA biosensor was expected to detect HPV strain 18 more efficiently by using electrical characterization. In this project, device inspection was conducted to make sure the functional of the gold interdigitated electrode (IDE) by using Scanning Electron Microscope (SEM). 3-Aminopropyl Triethoxysilane (APTES) solution was used for the process of surface modification to form the amine group on the surface of the device to facilitate the attachment of the DNA probe. In this project, synthetic DNA sample and DNA from the saliva of several Biosystems Engineering students were used as the target DNA. The current-voltage (I-V) electrical characterization was conducted to detect the presence of HPV strain 18 in both DNA samples. As the results, perfect alignment between the electrodes on the IDE was detected under SEM. Surface modification of the biosensor successfully conducted which is the covalent bond between APTES and DNA probe increase the electrical. Synthetic DNA shows the presence of HPV strain 18 while there was no HPV strain 18 detected in the DNA from saliva samples. -
PublicationMicroRNA of N-region from SARS-CoV-2: Potential sensing components for biosensor development( 2022-08-01)
;Halim F.S. ; ; ; ;Dahalan F.A. ;Zakaria I.I. ;Ang W.C.Jaapar N.F.An oligonucleotide DNA probe has been developed for the application in the DNA electrochemical biosensor for the early diagnosis of coronavirus disease (COVID-19). Here, the virus microRNA from the N-gene of severe acute respiratory syndrome-2 (SARS-CoV-2) was used for the first time as a specific target for detecting the virus and became a framework for developing the complementary DNA probe. The sequence analysis of the virus microRNA was carried out using bioinformatics tools including basic local alignment search tools, multiple sequence alignment from CLUSTLW, microRNA database (miRbase), microRNA target database, and gene analysis. Cross-validation of distinct strains of coronavirus and human microRNA sequences was completed to validate the percentage of identical and consent regions. The percent identity parameter from the bioinformatics tools revealed the virus microRNAs’ sequence has a 100% match with the genome of SARS-CoV-2 compared with other coronavirus strains, hence improving the selectivity of the complementary DNA probe. The 30 mer with 53.0% GC content of complementary DNA probe 5′ GCC TGA GTT GAG TCA GCA CTG CTC ATG GAT 3′ was designed and could be used as a bioreceptor for the biosensor development in the clinical and environmental diagnosis of COVID-19. -
PublicationAnalysis on silica and graphene nanomaterials obtained from rice straw for antimicrobial potential( 2024-06)
; ;N. H. A Jalil ; ; ; ; ; ; ; ;Nur Hulwani Ibrahim ; ;Nadiya Akmal BaharumThis 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. -
PublicationNovelty Studies on Amorphous Silica Nanoparticle Production from Rice Straw Ash( 2020-07-09)
; ; ; ;Muhammad Nur Afnan Uda ; ;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. -
PublicationNanoparticles in electrochemical bioanalytical analysis( 2020-01-01)
;Rajapaksha R.D.A.A. ; ; ;Fernando C.A.N.In the present biomedical field, most of the bioanalytical analyses depend on the electrochemical based systems. Nanomaterials are one of the key factors in enhancing the efficiency of analytical devices. Various nanomaterials such as metal NPs, metal oxide NPs, inorganic NPs, polymeric NPs, carbon-based, and polyoxometalates nanostructures can be seen in a variety of electrochemical analytical systems. Two-electrode, three-electrode, and multi-electrode-based miniaturized electrochemical analytical systems are popular in both research and commercially available systems. Properties of various nanostructures, and their involvement as surface functionalization material for label-free, and label-based ways in different biosensor applications have been discussed. Usage of various analytical methods such as potentiometry, voltammetry, amperometry, conductometry, coulometry, and impedimetric for detection, characterization, and quantification of nanostructure-based sensor systems, have been discussed. Further advantages of nanomaterials in biosensors and other electrodes in electrochemical analytical systems are also discussed. Compared to overall detection methods nanoparticle-based electrochemical analytical systems offer an approach to single molecular detection. By presenting theory to implementation, we hope this chapter provides a broad overview of usage and behavior of nanoparticles in electrochemical analytical systems, which may help readers understand and apply this phenomenon for future electrochemical-based biomedical analytical applications. -
PublicationFemtomolar Dengue Virus Type-2 DNA Detection in Back-gated Silicon Nanowire Field-effect Transistor Biosensor( 2022-01-01)
;Abidin W.A.B.Z. ;Nor M.N.M. ; ; ; ;Sisin N.A.H.T. ;Ibau C.Azlan A.S.Background: Dengue is known as the most severe arboviral infection in the world spread by Aedes aegypti. However, conventional and laboratory-based enzyme-linked immunosorbent as-says (ELISA) are the current approaches in detecting dengue virus (DENV), requiring skilled and well-trained personnel to operate. Therefore, the ultrasensitive and label-free technique of the Silicon Nanowire (SiNW) biosensor was chosen for rapid detection of DENV. Methods: In this study, a SiNW field-effect transistor (FET) biosensor integrated with a back-gate of the low-doped p-type Silicon-on-insulator (SOI) wafer was fabricated through conventional photo-lithography and Inductively Coupled Plasma – Reactive Ion Etching (ICP-RIE) for Dengue Virus type-2 (DENV-2) DNA detection. The morphological characteristics of back-gated SiNW-FET were examined using a field-emission scanning electron microscope supported by the elemental analysis via energy-dispersive X-ray spectroscopy. Results and Discussion: A complementary (target) single-stranded deoxyribonucleic acid (ssDNA) was recognized when the target DNA was hybridized with the probe DNA attached to SiNW surfaces. Based on the slope of the linear regression curve, the back-gated SiNW-FET biosensor demonstrated the sensitivity of 3.3 nAM-1 with a detection limit of 10 fM. Furthermore, the drain and back-gate voltages were also found to influence the SiNW conductance changed. Conclusion: Thus, the results obtained suggest that the back-gated SiNW-FET shows good stability in both biosensing applications and medical diagnosis throughout the conventional photolithography method. -
PublicationFacile electrical DNA genosensor for human papillomavirus (HPV 58) for early detection of cervical cancer( 2023-07)
;F. Nadhirah Jaapar ; ; ; ; ; ;Sh. Nadzirah ; ; ;Wei Chern Ang ;Iffah Izzati Zakaria ;Zulida Rejali ;Amilia Afzan ;Azrul Azlan Hamzah ;Chang Fu DeeF. Syakirah HalimFor 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.