Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.9
5.4
Journals
Biosensors
Special Issues
Nanostructured 2D Materials in Biosensing
share announcement

Nanostructured 2D Materials in Biosensing

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor Materials".

Deadline for manuscript submissions: closed (25 September 2022) | Viewed by 3061

Special Issue Editor

Dr. Shaikh Nayeem Faisal

E-Mail Website
Guest Editor
1. School of Electrical and Data Engineering, University of Technology Sydney (UTS), Sydney, Ultimo, NSW 2007, Australia
2. Intelligent Polymer Research Institute, Australian Institute of Innovative Materials, University of Wollongong (UOW), Wollongong, NSW 2522, Australia
Interests: graphene; nanocarbon; 2D materials; TMDs; MXene; electrochemical sensors; optical sensors; biosensors; food sensors and sensors for neural interface

Special Issue Information

Dear Colleagues,

Two-dimensional nanomaterials have attracted great interest as electrode materials since the discovery of carbon nanotubes and graphene. The recent progress on nanostructural engineering on carbon nanotubes, graphene, and other low-dimensional materials, such as transition metal dichalcogenides (TMDs), MXenes, carbon nitrides, and boron nitride as well as metal organic frameworks (MOF), covalent organic frameworks (COF), and porphyrins has opened up a new class of materials for in the development of next-generation sensors and biosensors.

This Special Issue seeks papers related to advanced sensors and biosensors based on low-dimensional nanomaterial for the detection of biomolecules, pathogens, and food compounds as well as neural biomarkers. We accept original, technical, or review papers on (but not limited to) the following topics:

Graphene-based biosensors

TMD-based biosensors

MXene-based biosensors

MOFs and COFs in sensing

Organic complexes (porphyrins) in biosensing

Flexible low-dimensional material based composites in sensing

Nanomaterial-enhanced interfaces (including nano-liquid/micro-liquid/liquid interface) for sensing

Neural interfacial sensor of 2D materials

Dr. Shaikh Nayeem Faisal
Guest Editor

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 submissions that pass pre-check are 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. Biosensors 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 2700 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
  • carbon nanotube
  • 2D materials
  • MXene
  • food sensors
  • neural interface
  • biosensors
  • pathogen detection

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

11 pages, 1689 KiB  
Article
Ni Nanoparticles Embedded Ti3C2Tx-MXene Nanoarchitectures for Electrochemical Sensing of Methylmalonic Acid
by Jai Kumar, Razium Ali Soomro, Rana R. Neiber, Nazeer Ahmed, Shymaa S. Medany, Munirah D. Albaqami and Ayman Nafady
Biosensors 2022, 12(4), 231; https://0-doi-org.brum.beds.ac.uk/10.3390/bios12040231 - 10 Apr 2022
Cited by 17 | Viewed by 2432
Abstract
MXenes-Ti3C2Tx, based on their versatile surface characteristics, has rapidly advanced as an interactive substrate to develop electrochemical sensors for clinical applications. Herein, Ni embedded Ti3C2Tx (MX−Ni) composites were prepared using a self-assembly [...] Read more.
MXenes-Ti3C2Tx, based on their versatile surface characteristics, has rapidly advanced as an interactive substrate to develop electrochemical sensors for clinical applications. Herein, Ni embedded Ti3C2Tx (MX−Ni) composites were prepared using a self-assembly approach where Ti3C2Tx sheets served as an interactive conductive substrate as well as a protective layer to nickel nanoparticles (Ni NPs), preventing their surface oxidation and aggregation. The composite displayed a cluster-like morphology with an intimate interfacial arrangement between Ni, Ti3C2Tx and Ti3C2Tx-derived TiO2. The configuration of MX−Ni into an electrochemical sensor realized a robust cathodic reduction current against methylmalonic acid (MMA), a biomarker to vitamin B12 deficiency. The synergism of Ni NPs strong redox characteristics with conductive Ti3C2Tx enabled sensitive signal output in wide detection ranges of 0.001 to 0.003 µM and 0.0035 to 0.017 µM and a detection sensitivity down to 0.12 pM of MMA. Importantly, the sensor demonstrated high signal reproducibility and excellent operational capabilities for MMA in a complex biological matrix such as human urine samples. Full article
(This article belongs to the Special Issue Nanostructured 2D Materials in Biosensing)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop