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Defect-rich graphene-coated metamaterial device for pesticide sensing in rice

Performing sensitive and selective detection in a mixture is challenging for terahertz (THz) sensors. In light of this, many methods have been developed to detect molecules in complex samples using THz technology. Here we demonstrate a defect-rich monolayer graphene-coated metamaterial operating in...

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Autores principales: Xu, Wendao, Wang, Qi, Zhou, Ruiyun, Hameed, Saima, Ma, Yungui, Lijuan Xie, Ying, Yibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540250/
https://www.ncbi.nlm.nih.gov/pubmed/36320498
http://dx.doi.org/10.1039/d2ra06006j
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author Xu, Wendao
Wang, Qi
Zhou, Ruiyun
Hameed, Saima
Ma, Yungui
Lijuan Xie,
Ying, Yibin
author_facet Xu, Wendao
Wang, Qi
Zhou, Ruiyun
Hameed, Saima
Ma, Yungui
Lijuan Xie,
Ying, Yibin
author_sort Xu, Wendao
collection PubMed
description Performing sensitive and selective detection in a mixture is challenging for terahertz (THz) sensors. In light of this, many methods have been developed to detect molecules in complex samples using THz technology. Here we demonstrate a defect-rich monolayer graphene-coated metamaterial operating in the THz regime for pesticide sensing in a mixture through strong local interactions between graphene and external molecules. The monolayer graphene induces a 50% change in the resonant peak excited by the metamaterial absorber that could be easily distinguished by THz imaging. We experimentally show that the Fermi level of the graphene can be tuned by the addition of molecules, which agrees well with our simulation results. Taking chlorpyrifos methyl in the lixivium of rice as a sample, we further show the molecular sensing potential of this device, regardless of whether the target is in a mixture or not.
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spelling pubmed-95402502022-10-31 Defect-rich graphene-coated metamaterial device for pesticide sensing in rice Xu, Wendao Wang, Qi Zhou, Ruiyun Hameed, Saima Ma, Yungui Lijuan Xie, Ying, Yibin RSC Adv Chemistry Performing sensitive and selective detection in a mixture is challenging for terahertz (THz) sensors. In light of this, many methods have been developed to detect molecules in complex samples using THz technology. Here we demonstrate a defect-rich monolayer graphene-coated metamaterial operating in the THz regime for pesticide sensing in a mixture through strong local interactions between graphene and external molecules. The monolayer graphene induces a 50% change in the resonant peak excited by the metamaterial absorber that could be easily distinguished by THz imaging. We experimentally show that the Fermi level of the graphene can be tuned by the addition of molecules, which agrees well with our simulation results. Taking chlorpyrifos methyl in the lixivium of rice as a sample, we further show the molecular sensing potential of this device, regardless of whether the target is in a mixture or not. The Royal Society of Chemistry 2022-10-07 /pmc/articles/PMC9540250/ /pubmed/36320498 http://dx.doi.org/10.1039/d2ra06006j Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Xu, Wendao
Wang, Qi
Zhou, Ruiyun
Hameed, Saima
Ma, Yungui
Lijuan Xie,
Ying, Yibin
Defect-rich graphene-coated metamaterial device for pesticide sensing in rice
title Defect-rich graphene-coated metamaterial device for pesticide sensing in rice
title_full Defect-rich graphene-coated metamaterial device for pesticide sensing in rice
title_fullStr Defect-rich graphene-coated metamaterial device for pesticide sensing in rice
title_full_unstemmed Defect-rich graphene-coated metamaterial device for pesticide sensing in rice
title_short Defect-rich graphene-coated metamaterial device for pesticide sensing in rice
title_sort defect-rich graphene-coated metamaterial device for pesticide sensing in rice
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540250/
https://www.ncbi.nlm.nih.gov/pubmed/36320498
http://dx.doi.org/10.1039/d2ra06006j
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