Hall effect biosensors with ultraclean graphene film for improved sensitivity of label-free DNA detection

Phan Thi Kim Loan, Dongqin Wu, Chen Ye, Xiaoqing Li, Vu Thanh Tra, Qiuping Wei, Li Fu, Aimin Yu, Lain-Jong Li, Cheng-Te Lin

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

The quality of graphene strongly affects the performance of graphene-based biosensors which are highly demanded for the sensitive and selective detection of biomolecules, such as DNA. This work reported a novel transfer process for preparing a residue-free graphene film using a thin gold supporting layer. A Hall effect device made of this gold-transferred graphene was demonstrated to significantly enhance the sensitivity (≈ 5 times) for hybridization detection, with a linear detection range of 1 pM – 100nM for DNA target. Our findings provide an efficient method to boost the sensitivity of graphene-based biosensors for DNA recognition.
Original languageEnglish (US)
Pages (from-to)85-91
Number of pages7
JournalBiosensors and Bioelectronics
Volume99
DOIs
StatePublished - Jul 19 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The authors are grateful for the financial support by the National Natural Science Foundation of China (51573201, 51501209, 201675165 and 21475033), Program for International S&T Cooperation Projects of the Ministry of Science and Technology of China (2015DFA50760), Public Welfare Project of Zhejiang Province (2016C31026), Science and Technology Major Project of Ningbo (2014S10001, 2016B10038 and 2016S1002), and International S&T Cooperation Program of Ningbo (2015D10003 and 2017D10016) for financial support. We also thank the Chinese Academy of Science for Hundred Talents Program, Chinese Central Government for Thousand Young Talents Program, 3315 Program of Ningbo, The Key Technology of Nuclear Energy (CAS Interdisciplinary Innovation Team, 2014), and Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 103.01–2015.98.

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