Ultrasensitive micro sensor based on layer-by-layer self-assembled graphene and bismuth nanoparticles for trace lead ions determination

Zonghao Wu, Gaoshan Jing, Tianhong Cui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An ultrasensitive micro sensor for the detection of trace lead (II) is fabricated by mixed dispersion solution of bismuth nanoparticles (Bi NPs) and PDDA, and layer-by-layer self-assembled (LBL SA) with graphene (G) suspension solution on a micro gold electrode. The LBL SA G-Bi NPs sensor performance has been greatly enhanced in determination of Pb (II) using anodic stripping voltammetry (ASV). Compared with a sensor without surface modification, the sensor's stripping peak potential decreased from -0.520 V to -0.564 V, and its peak current increased from 1.227 μA to 8.372 μA. Compared with a sensor modified by LBL SA G (without Bi NPs), stripping peak potential decreased from -0.548 V to -0.572 V, the sensor's peak current increased from 0.284 μA to 1.263 μA. This sensor's limit of detection (LOD) of Pb (II) was achieved as 0.078 ppb with a sensitivity of 1.061 μA/ppb. This simple but effective graphene-metal nanocomposites construction method can be widely used in the development of highly sensitive ion sensor.

Original languageEnglish (US)
Title of host publication2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1083-1086
Number of pages4
ISBN (Electronic)9781509050789
DOIs
StatePublished - Feb 23 2017
Event30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017 - Las Vegas, United States
Duration: Jan 22 2017Jan 26 2017

Publication series

NameProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
ISSN (Print)1084-6999

Other

Other30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017
CountryUnited States
CityLas Vegas
Period1/22/171/26/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

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