Nur Alia Sheh Omar
Universiti Putra Malaysia
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Publication
Featured researches published by Nur Alia Sheh Omar.
Applied Optics | 2016
Nur Farhana Samsudin; Khamirul Amin Matori; Zaidan Abdul Wahab; Yap Wing Fen; Josephine Ying Chi Liew; Way Foong Lim; Mohd Hafiz Mohd Zaid; Nur Alia Sheh Omar
A series of MnO-doped zinc soda lime silica glass systems was prepared by a conventional melt and quenching technique. In this study, the x-ray diffraction analysis was applied to confirm the amorphous nature of the glasses. Fourier transform infrared spectroscopy shows the glass network consists of MnO4, SiO4, and ZnO4 units as basic structural units. The glass samples under field emission scanning electron microscopy observation demonstrated irregularity in shape and size with glassy phase-like structure. The optical absorption studies revealed that the optical bandgap (Eopt) values decrease with an increase of MnO content. Through the results of various measurements, the doping of MnO in the glass matrix had effects on the performance of the glasses and significantly improved the properties of the glass sample as a potential host for phosphor material.
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy | 2018
Afiq Azri Zainudin; Yap Wing Fen; Nor Azah Yusof; Sura Hmoud Al-Rekabi; Mohd Adzir Mahdi; Nur Alia Sheh Omar
In this study, the combination of novel valinomycin doped chitosan-graphene oxide (C-GO-V) thin film and surface plasmon resonance (SPR) system for potassium ion (K+) detection has been developed. The novel C-GO-V thin film was deposited on the gold surface using spin coating technique. The system was used to monitor SPR signal for K+ in solution with and without C-GO-V thin film. The K+ can be detected by measuring the SPR signal when C-GO-V thin film is exposed to K+ in solution. The sensor produces a linear response for K+ ion up to 100ppm with sensitivity and detection limit of 0.00948°ppm-1 and 0.001ppm, respectively. These results indicate that the C-GO-V film is high potential as a sensor element for K+ that has been proved by the SPR measurement.
Sensor Review | 2018
Nur Alia Sheh Omar; Yap Wing Fen
Purpose This paper aims to review the potential application of surface plasmon resonance (SPR) in diagnosis of dengue virus (DENV-2) E-protein and the development of SPR to become an alternative DENV sensor. Design/methodology/approach In this review, the existing standard laboratory techniques to diagnosis of DENV are discussed, together with their drawbacks. To overcome these drawbacks, SPR has been aimed to be a valuable optical biosensor for identification of antibodies to the DENV antigen. The review also includes the future studies on three-dimensional poly(amidoamine) (PAMAM) dendrimer-surface-assembled monolayer (SAM)-Au multilayer thin films, which are envisaged to have high potential sensitive and selective detection ability toward target E-proteins. Findings Application of SPR in diagnosis of DENV emerged over recent years. A wide range of immobilized biorecognition molecules have been developed to combine with SPR as an effective sensor. The detection limit, sensitivity and selectivity of SPR sensing in DENV have been enhanced from time to time, until the present. Originality/value The main purpose of this review is to provide authors with up-to-date and useful information on sensing DENV using SPR and to introduce a novel three-dimensional PAMAM-SAM-Au multilayer thin films for future research on SPR sensing applications.
Journal of Materials Science: Materials in Electronics | 2016
Nur Alia Sheh Omar; Yap Wing Fen; Khamirul Amin Matori; Mohd Hafiz Mohd Zaid; Mohd Rasdi Norhafizah; Mohammad Nurzilla; Mohd Ismail Maisarah Zamratul
Procedia Chemistry | 2016
Nur Alia Sheh Omar; Yap Wing Fen; Khamirul Amin Matori; Sidek Abdul Aziz; Zarifah Nadakkavil Alassan; Nur Farhana Samsudin
Optik | 2016
Nur Alia Sheh Omar; Yap Wing Fen; Khamirul Amin Matori
Optik | 2015
Yap Wing Fen; W. Mahmood Mat Yunus; Nor Azah Yusof; Nurul Syahirah Ishak; Nur Alia Sheh Omar; Afiq Azri Zainudin
Results in physics | 2016
Nur Alia Sheh Omar; Yap Wing Fen; Khamirul Amin Matori; Mohd Hafiz Mohd Zaid; Nur Farhana Samsudin
Materials Science in Semiconductor Processing | 2017
Nur Alia Sheh Omar; Yap Wing Fen; Khamirul Amin Matori
Optik | 2017
Afiq Azri Zainudin; Yap Wing Fen; Nor Azah Yusof; Nur Alia Sheh Omar