dc.contributor.author | Nuri A.KH., Ehfaed | |
dc.contributor.author | Tijjani, Adam | |
dc.contributor.author | Mohammed, Mohammed | |
dc.contributor.author | Omar S., Dahham | |
dc.contributor.author | Uda, Hashim | |
dc.contributor.author | Nik Noriman, Zulkepli | |
dc.contributor.author | Almahdi R., Rabia | |
dc.date.accessioned | 2020-12-14T07:20:27Z | |
dc.date.available | 2020-12-14T07:20:27Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | IOP Conference Series: Materials Science and Engineering, vol.454, 2018, 9 pages | en_US |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68993 | |
dc.description | Link to publisher's homepage at https://iopscience.iop.org/ | en_US |
dc.description.abstract | Silicon (Si) nanostructure was prepared using a cheap and in-house technique. The device was fabricated via dry oxide etching approach with a controlled oxygen flow rate in an oxidation furnace, a network of uniform Si nanowires were successfully fabricated. The device was functionalized by (3-aminopropyl) triethoxysilane (APTES) to serve as a sensor for heavy metal detection. The amino-functionalized Si nanowires were characterized based on variation SPX spectra of four different element that, O, OH, NH2 and Si-O-NH2. Three major peaks in the C 1s region one at 289 eV is were detected indicating for the Si-O
attaching, values of 287eV 30 for Si-OH, 285eV for NH2 and 83eV for Si-O-NH2 representing hydroxide, amine and modified silicon surface that that established nitrogen atoms (-NH2, -NH-). Thus, the study identifies different chemical environments to identify heavy metals in water. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IOP Publishing | en_US |
dc.relation.ispartofseries | 1st International Conference on Materials Engineering and Science (IConMEAS 2018); | |
dc.subject | Silicon (Si) | en_US |
dc.subject | Silicon (Si) nanostructure | en_US |
dc.subject | Sensors | en_US |
dc.title | Functionalization of Si Nanowire Surfaces to Create Interactive Mechanism for Heavy Metals Detection Application | en_US |
dc.type | Article | en_US |
dc.identifier.url | https://iopscience.iop.org/ | |