Study on a terahertz biosensor based on graphene-metamaterial.


Journal

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
ISSN: 1873-3557
Titre abrégé: Spectrochim Acta A Mol Biomol Spectrosc
Pays: England
ID NLM: 9602533

Informations de publication

Date de publication:
05 Nov 2022
Historique:
received: 17 03 2022
revised: 12 06 2022
accepted: 16 06 2022
pubmed: 27 6 2022
medline: 10 8 2022
entrez: 26 6 2022
Statut: ppublish

Résumé

The interaction between the terahertz wave propagating in free space and the sample is weak, which leads to the weak signal of the sample, which cannot meet the detection needs of trace samples. In order to meet the detection of trace samples, a kind of metamaterial absorber (the basic unit of the absorber is composed of gold-high resistance silicon-aluminum three-layer structure) is designed, and the monolayer graphene is transferred on the surface of the metamaterial absorber to construct the graphene-metamaterial absorber heterostructure. The transmission spectrum of the resonant cavity is simulated and measured by terahertz time domain spectroscopy system, and the obvious resonance frequency shift is observed. The results show that the graphene-metamaterial absorber heterostructure can detect josamycin antibiotic solution with concentration of 0.02 mg/L (the mass of josamycin is 0.2 ng). Compared with using the same structure metamaterial absorber to detect josamycin antibiotics, the sensitivity is increased by an order of magnitude. Using graphene-metamaterial heterostructure to detect the relative change of heterostructure reflectivity caused by josamycin antibiotics can reach 40%. The research in this paper provides a new technical means for accurate and rapid detection in terahertz band.

Identifiants

pubmed: 35753099
pii: S1386-1425(22)00676-X
doi: 10.1016/j.saa.2022.121527
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0
Graphite 7782-42-5
Josamycin HV13HFS217

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

121527

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Jianjun Liu (J)

School of Intelligent Engineering, Shaoguan University, Shaoguan Guangdong 363000 China. Electronic address: liujianjun8888@hotmail.com.

Lanlan Fan (L)

School of Intelligent Engineering, Shaoguan University, Shaoguan Guangdong 363000 China.

Jin Su (J)

School of Intelligent Engineering, Shaoguan University, Shaoguan Guangdong 363000 China.

Senquan Yang (S)

School of Intelligent Engineering, Shaoguan University, Shaoguan Guangdong 363000 China.

Huang Luo (H)

School of Intelligent Engineering, Shaoguan University, Shaoguan Guangdong 363000 China.

Xuehua Shen (X)

School of Intelligent Engineering, Shaoguan University, Shaoguan Guangdong 363000 China.

Fan Ding (F)

School of Intelligent Engineering, Shaoguan University, Shaoguan Guangdong 363000 China.

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Classifications MeSH