Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection

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Main Authors: Nuri A.KH., Ehfaed, Tijjani, Adam, Mohammed, Mohammed, Omar S., Dahham, Uda, Hashim, Nik Noriman, Zulkepli, Almahdi R., Rabia
Format: Article
Language:English
Published: IOP Publishing 2020
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68994
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spelling my.unimap-689942020-12-14T07:21:55Z Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection Nuri A.KH., Ehfaed Tijjani, Adam Mohammed, Mohammed Omar S., Dahham Uda, Hashim Nik Noriman, Zulkepli Almahdi R., Rabia Silicon nanostructure Silicon Water Heavy metal lead (Pb) Heavy metal sensor Link to publisher's homepage at https://iopscience.iop.org/ Silicon nanostructure were prepared using cheap and in-house technique developed in INEE. Amino-functionalized Si nanowires were tested against heavy metal lead (Pb). The device was fabricated via dry oxide etching approach with control oxygen flow rate in oxidation furnace, network of uniform Si nanowires was successfully fabricated. The device was functionalized by (3- aminopropyl) triethoxysilane (APTES) to save as a sensor to heavy metal. Due to the silicon electrochemical response toward heavy metal ions, linear response to three different sources of water were observed. The results indicated, Pb can be detected with high precision. Furthermore, confirmation was demonstrated using atomic absorption spectroscopy instrument (AAS) to determine the level lead content in each water source. Three sources of water were tested: Tab water (H2O), River (H2O), DI (H2O) and 0.0859mg/L, 0.0929mg/L, 0.023 mg/L with ~ 52pA, 60pA and 70pA current response respectively. Thus, with this high capability to discriminate water samples, the sensor potential to be employed for an effective heavy metals detection and can further be extended for large sensor network in water treatment plant. 2020-12-14T07:21:55Z 2020-12-14T07:21:55Z 2018 Article IOP Conference Series: Materials Science and Engineering, vol.454, 2018, 11 pages http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68994 https://iopscience.iop.org/ en 1st International Conference on Materials Engineering and Science (IConMEAS 2018); IOP Publishing
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Silicon nanostructure
Silicon
Water
Heavy metal lead (Pb)
Heavy metal sensor
spellingShingle Silicon nanostructure
Silicon
Water
Heavy metal lead (Pb)
Heavy metal sensor
Nuri A.KH., Ehfaed
Tijjani, Adam
Mohammed, Mohammed
Omar S., Dahham
Uda, Hashim
Nik Noriman, Zulkepli
Almahdi R., Rabia
Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection
description Link to publisher's homepage at https://iopscience.iop.org/
format Article
author Nuri A.KH., Ehfaed
Tijjani, Adam
Mohammed, Mohammed
Omar S., Dahham
Uda, Hashim
Nik Noriman, Zulkepli
Almahdi R., Rabia
author_facet Nuri A.KH., Ehfaed
Tijjani, Adam
Mohammed, Mohammed
Omar S., Dahham
Uda, Hashim
Nik Noriman, Zulkepli
Almahdi R., Rabia
author_sort Nuri A.KH., Ehfaed
title Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection
title_short Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection
title_full Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection
title_fullStr Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection
title_full_unstemmed Design, Fabrication and Characterization of silicon Nanostructures for Lead (Pb+ ) ion detection
title_sort design, fabrication and characterization of silicon nanostructures for lead (pb+ ) ion detection
publisher IOP Publishing
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68994
_version_ 1698698540920864768
score 13.222552