Special Issue "Recent Advances in Graphene-based Sensors"

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E:Engineering and Technology".

Deadline for manuscript submissions: 31 July 2021.

Special Issue Editors

Dr. Maozhou Meng
Website
Guest Editor
School of Engineering, Computing and Mathematics (SECAM), University of Plymouth, Plymouth PL4 8AA, UK
Interests: FEA modelling; FRP Composites; nano coatings; MEMS; graphene-base sensors; renewable energy devices
Dr. Marzena Pawlik
Website
Guest Editor
School of Computing and Engineering, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK
Interests: FRP Composites; FEA modelling; adhesive joining; nanocomposites; structural health monitoring

Special Issue Information

Dear Colleagues,

The fabrication and characterisation of graphene have been intensively investigated over the past decade, and the unique two-dimensional structure makes it an ideal candidate for sensors. Due to its planar shape, chemical structure, and excellent conductivity, graphene has shown many advantages compared to other nanomaterials in the construction of sensors. The extremely high surface-to-volume ratio at atomic thickness makes it particularly sensitive to changes in local environmental conditions. On a single graphene sheet, all carbon atoms interact directly with the analytes, which promote higher sensitivity and result in the fabrication of improved sensors. The superior electrical and thermal conductivities of graphene in a blended composite have the potential to convert the nonelectrically conductive matrix into a conductor due to the quantum tunnel effects, and this advantage makes it possible to transform the external stimulation into the change of electrical/thermal conductivities. In recent years, a broad range of graphene-based sensors has been demonstrated with applications in bio-sensing, chemical and environmental sensing, radiological sensing, mechanical sensing, and many more. In this Special Issue, you are invited to submit research papers and review articles focused on the 1) developments of low-cost and highly sensitive graphene-based sensors, and on the 2) numerical modelling of graphene-based sensors.

We look forward to receiving your submissions!

Dr. Maozhou Meng
Dr. Marzena Pawlik
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • graphene
  • graphene oxide
  • sensor
  • biosensor
  • chemical sensor
  • modelling

Published Papers (1 paper)

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Research

Open AccessArticle
The Effect of Edge Mode on Mass Sensing for Strained Graphene Resonators
Micromachines 2021, 12(2), 189; https://doi.org/10.3390/mi12020189 - 12 Feb 2021
Viewed by 286
Abstract
Edge mode could disturb the ultra-subtle mass detection for graphene resonators. Herein, classical molecular dynamics simulations are performed to investigate the effect of edge mode on mass sensing for a doubly clamped strained graphene resonator. Compared with the fundamental mode, the localized vibration [...] Read more.
Edge mode could disturb the ultra-subtle mass detection for graphene resonators. Herein, classical molecular dynamics simulations are performed to investigate the effect of edge mode on mass sensing for a doubly clamped strained graphene resonator. Compared with the fundamental mode, the localized vibration of edge mode shows a lower frequency with a constant frequency gap of 32.6 GHz, despite the mutable inner stress ranging from 10 to 50 GPa. Furthermore, the resonant frequency of edge mode is found to be insensitive to centrally located adsorbed mass, while the frequency of the fundamental mode decreases linearly with increasing adsorbates. Thus, a mass determination method using the difference of these two modes is proposed to reduce interferences for robust mass measurement. Moreover, molecular dynamics simulations demonstrate that a stronger prestress or a higher width–length ratio of about 0.8 could increase the low-quality factor induced by edge mode, thus improving the performance in mass sensing for graphene resonators. Full article
(This article belongs to the Special Issue Recent Advances in Graphene-based Sensors)
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