Analysis of the Effect of Electrode Materials on the Sensitivity of Quartz Crystal Microbalance.

electrode material parameters graphene oxide (GO) humidity sensor mass sensitivity quartz crystal microbalance (QCM)

Journal

Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216

Informations de publication

Date de publication:
16 Mar 2022
Historique:
received: 22 02 2022
revised: 09 03 2022
accepted: 15 03 2022
entrez: 26 3 2022
pubmed: 27 3 2022
medline: 27 3 2022
Statut: epublish

Résumé

This paper investigated the effect of electrode materials on the performance of quartz crystal microbalance (QCM) sensors by means of theoretical calculation, experiment, and finite element analysis methods. First, we calculated the particle displacement amplitude and thus obtained the mass sensitivity function distribution of QCMs with gold, silver and aluminum electrodes, and found that the QCM with the gold electrode has the highest mass sensitivity at the center of the electrode. Then, we tested the humidity-sensing performance of QCMs with gold, silver, and aluminum electrodes using graphene oxide (GO) as the sensitive material, and found that the QCM with the gold electrode has higher humidity sensitivity. Finally, we used the finite element analysis software COMSOL Multiphysics to simulate the specific electrode material parameters that affect the sensitivity of the QCMs. The simulation results show that the density and Young's modulus of the electrode material parameters mainly affect the sensitivity. The results of this paper are instructive for optimizing QCM sensor performance and improving the capability of QCM quantitative analysis.

Identifiants

pubmed: 35335788
pii: nano12060975
doi: 10.3390/nano12060975
pmc: PMC8954940
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Natural Science Foundation of China
ID : 61871098

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Auteurs

Qiao Chen (Q)

School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, Chengdu 611731, China.

Xianhe Huang (X)

School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, Chengdu 611731, China.

Yao Yao (Y)

School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, Chengdu 611731, China.

Kunlei Mao (K)

School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, Chengdu 611731, China.

Classifications MeSH