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Biosynthesis and characterization of gold nanoparticles by using vernonia amygdalina, pandanus amaryllifolius, and citrus maxima leaves

Tan, Ming Zheng (2019) Biosynthesis and characterization of gold nanoparticles by using vernonia amygdalina, pandanus amaryllifolius, and citrus maxima leaves. Final Year Project, UTAR.

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    Abstract

    As the demand of gold nanoparticles is increasing rapidly due to widespread use of gold nanoparticles in biology, pharmaceuticals and medicines, green methods with the use of plant extracts has gained great importance because most of the plants are readily available, inexpensive and toxic free. Besides, plant extracts are rich in different types of reducing, capping and stabilizing agents. In this study, the method used was simple, cost effective and eco-friendly. Biosynthesis of gold nanoparticles by using Vernonia Amygdalina, Pandanus Amaryllifolius and Citrus Maxima leaves extract has been reported. The synthesised gold nanoparticles were characterized with UV–visible spectrophotometry, X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), Energy Dispersive X-Ray Spectra (EDX), Fourier transform infrared spectroscopy (FTIR), and particle size analysis. The UV-Vis spectra confirmed the presence of biosynthesised gold nanoparticles. The FESEM images revealed spherical, hexagonal and hollow shape of gold nanoparticles. The size of gold nanoparticles was determined to be 22.22-148.37 nm. Crystalline nature of the nanoparticles in the face-centred cubic (FCC) structure was confirmed by the peaks in the XRD pattern. Elemental composition analysis by using EDX confirmed the presence of gold. FTIR results showed the functional groups involved in leaves extract for reduction of gold ions to nanoparticles.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: T Technology > T Technology (General)
    Divisions: Faculty of Engineering And Green Technology > Bachelor of Engineering (Hons) Industrial Engineering
    Depositing User: ML Main Library
    Date Deposited: 08 Jan 2021 16:01
    Last Modified: 08 Jan 2021 16:01
    URI: http://eprints.utar.edu.my/id/eprint/3885

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