Development of SiNWs based electrochemical sensor for trace level detection of arsenic

被引:0
作者
Shalvi, S. [1 ]
Gautam, Varsha [2 ]
Nagpal, Suman [3 ]
Verma, Kanak Lata [4 ]
Jain, Vinod Kumar [2 ]
Kumar, Avshish [2 ]
机构
[1] Amity Univ, Amity Inst Forens Sci, Noida, Uttar Pradesh, India
[2] Amity Univ, Amity Inst Adv Res & Studies Mat & Devices, Noida 201303, Uttar Pradesh, India
[3] Indira Gandhi Univ, Dept Environm Sci, Meerpur, Haryana, India
[4] Reg Forens Sci Lab, New Delhi, India
关键词
silicon nanowires; reduced graphene oxide; arsenic; cyclic voltammetry; sensor; GOLD NANOPARTICLES; ELECTRODE;
D O I
10.1177/02670836241253174
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the present study, we present a unique sensing platform relies on a silicon nanowire (SiNW) and reduced graphene oxide (rGO) hybrid nanostructure capped with (3-aminopropyl) triethoxysilane (APTES) and polyethylene glycol gold nanoparticle (PEG-AuNPs). Herein, MACE technique was applied to synthesize SiNWs, which was then used to develop a sandwich hybrid nanostructure by casting of rGO/APTES/PEG-AuNPs on its surface under room temperature and was characterised using various techniques. The developed PEG-AuNPs/rGO@APTES/SiNWs hybrid nanostructure-based sensing platform was used to detect two types of arsenic, that is, arsenite (As3+) and arsenate (As5+) using cyclic voltammetry in a sensitive and selective manner wherein the presence of arsenic species in real sample (blood) as well as standard samples was recorded.
引用
收藏
页码:117 / 127
页数:11
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