Ultra-sensitive graphene based mid-infrared plasmonic bio-chemical sensing using dielectric beads as a medium

doi:10.1016/j.carbon.2017.06.089

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院等离子体物理研究所

	Ultra-sensitive graphene based mid-infrared plasmonic bio-chemical sensing using dielectric beads as a medium
	Liu, Xiao 1,2; Zhang, Duan 1,2; Wu, Ye-Cun 2; Yang, Mei 2; Wang, Qian 2; Coileain, Cormac O.2,3; Xu, Hongjun 2,3; Yang, Chen 2; Abid, Mohamed 2; Abid, Mourad 2
刊名	CARBON
	2017-10-01
卷号	122 页码:404-410
DOI	10.1016/j.carbon.2017.06.089
文献子类	Article
英文摘要	Graphene is moving beyond the realm of simple electronic devices toward areas such as advanced biochemical sensing. The infrared (IR) response of graphene, characterized by collective long-lived charge-carrier oscillations, could be applied in IR-absorption spectroscopy, typically used for bio-chemical analysis. However, direct light absorption by propagating plasmons in graphene is forbidden due to the large momentum mismatch. Proposed methods to overcome this bottleneck come at a cost, the use of noble metal particles on graphene reduces the spectral bandwidth and nano-structuring graphene is expensive. Here, we propose a simple and cheap method to fabricate large scale ultra-sensitive graphene based mid-IR biosensors, by introducing dielectric beads to excite mid-IR range plasmons. Interference from waves scattered by the beads excite surface plasmon polaritons, which propagate several micrometers in graphene and enhance the interaction between the molecules and mid-IR light. This method opens an interesting window for the application of graphene in bio-chemical sensing. (C) 2017 Elsevier Ltd. All rights reserved.
WOS关键词	LIGHT-MATTER INTERACTIONS ; MOLECULAR MONOLAYERS ; METAMATERIALS ; SPECTROSCOPY ; MOBILITY
WOS研究方向	Chemistry ; Materials Science
语种	英语
WOS记录号	WOS:000407394200045
资助机构	National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; National Key Research and Development Program(2017YFA0303800) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006) ; Science and Technology Innovation Program for Creative Talents in Beijing Institute of Technology(2017CX01006)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/33601]
专题	合肥物质科学研究院_中科院等离子体物理研究所
作者单位	1.Capital Normal Univ, Beijing Key Lab Nanophoton & Nanostruct, Elementary Educ Coll, Beijing 100048, Peoples R China 2.Beijing Inst Technol, Sch Phys, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Anhui, Peoples R China 4.Korea Res Inst Stand & Sci, Div Ind Metrol, Daejeon 305340, South Korea
推荐引用方式 GB/T 7714	Liu, Xiao,Zhang, Duan,Wu, Ye-Cun,et al. Ultra-sensitive graphene based mid-infrared plasmonic bio-chemical sensing using dielectric beads as a medium[J]. CARBON,2017,122:404-410.
APA	Liu, Xiao.,Zhang, Duan.,Wu, Ye-Cun.,Yang, Mei.,Wang, Qian.,...&Wu, Han-Chun.(2017).Ultra-sensitive graphene based mid-infrared plasmonic bio-chemical sensing using dielectric beads as a medium.CARBON,122,404-410.
MLA	Liu, Xiao,et al."Ultra-sensitive graphene based mid-infrared plasmonic bio-chemical sensing using dielectric beads as a medium".CARBON 122(2017):404-410.