Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.9
Journals
Sensors
Special Issues
Nanocomposite Sensors
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Nanocomposite Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Nanosensors".

Deadline for manuscript submissions: closed (30 May 2021) | Viewed by 9030

Special Issue Editor

Dr. Nandika Anne D'Souza

E-Mail Website
Guest Editor
Department of Mechanical and Energy Engineering, University of North Texas, Denton, TX 76207, USA
Interests: polymers; biopolymers; composites; nanocomposites

Special Issue Information

Dear Colleagues,

The introduction of functional particles into matrices to enhance sensing performance is an area of growing interest. Nanoparticles can range in material type, such as metals, polymers, semiconductors/quantum dots, and inorganic material, as can their matrices. Their shape and size distribution add another element to consider. Further combinations of particles paired to shapes and sizes can produce novel performance characteristics. However, the resolution, reliability, and sensitivity remain important to be indexed to conventional monolithic single-material sensing materials.

This Special Issue is focused on targeting materials and their measurement and performance through the incorporation of nanoparticles into said materials for applications in the biomedical, pollution, structural health monitoring fields. Potential topics cover a wide range of research fields related to the fundamental and applied aspects of sensor nanomaterials, as well as their novel functionalities and applications, and include (but are not limited to) the following:

  • Synthesis and measurement of nanocomposites for sensing and biosensing;
  • Functionalization and labeling of the incorporated nanomaterials for sensing purposes;
  • Sensing devices using nanocomposites;
  • New approaches to measuring the performance of nanocomposite sensing materials;
  • Applications of nanocomposites in sensing.

Dr. Nandika D'Souza
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • Nanocomposites
  • Nanoparticles
  • Biomedical sensor materials
  • Food contamination
  • Virus detection
  • Structural health monitoring
  • Strain sensing
  • Leak or pollution detection

Published Papers (3 papers)

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

Research

17 pages, 5752 KiB  
Article
Ethanol Sensing Properties and First Principles Study of Au Supported on Mesoporous ZnO Derived from Metal Organic Framework ZIF-8
by Yanli Kang, Lu Zhang, Wenhao Wang and Feng Yu
Sensors 2021, 21(13), 4352; https://doi.org/10.3390/s21134352 - 25 Jun 2021
Cited by 12 | Viewed by 2500
Abstract
It is of great significance to develop ethanol sensors with high sensitivity and low detection temperature. Hence, we prepared Au-supported material on mesoporous ZnO composites derived from a metal-organic framework ZIF-8 for the detection of ethanol gas. The obtained Au/ZnO materials were characterized [...] Read more.
It is of great significance to develop ethanol sensors with high sensitivity and low detection temperature. Hence, we prepared Au-supported material on mesoporous ZnO composites derived from a metal-organic framework ZIF-8 for the detection of ethanol gas. The obtained Au/ZnO materials were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (SEM), field emission transmission electron microscopy (TEM) and nitrogen adsorption and desorption isotherms. The results showed that the Au/ZnO-1.0 sample maintains a three-dimensional (3D) dodecahedron structure with a larger specific surface area (22.79 m2 g−1) and has more oxygen vacancies. Because of the unique ZIF structure, abundant surface defects and the formation of Au-ZnO Schottky junctions, an Au/ZnO-1.0 sensor has a response factor of 37.74 for 100 ppm ethanol at 250 °C, which is about 6 times that of pure ZnO material. In addition, the Au/ZnO-1.0 sensor has good selectivity for ethanol. According to density functional theory (DFT) calculations, the adsorption energy of Au/ZnO for ethanol (−1.813 eV) is significantly greater than that of pure ZnO (−0.217 eV). Furthermore, the adsorption energy for ethanol is greater than that of other gases. Full article
(This article belongs to the Special Issue Nanocomposite Sensors)
►▼ Show Figures

Graphical abstract

11 pages, 1622 KiB  
Article
Low-Cost Reliable Corrosion Sensors Using ZnO-PVDF Nanocomposite Textiles
by Tonoy Chowdhury, Nandika D’Souza and Narendra Dahotre
Sensors 2021, 21(12), 4147; https://doi.org/10.3390/s21124147 - 17 Jun 2021
Cited by 4 | Viewed by 2177
Abstract
Submerged steel pipes are susceptible to corrosion due to long exposure under harsh corrosive conditions. Here, we investigated the reliability and effectiveness of nonwoven zinc(II) oxide-polyvinylidene fluoride (ZnO-PVDF) nanocomposite fiber textiles as an embedded corrosion sensor. An accelerated thermal cyclic method paired to [...] Read more.
Submerged steel pipes are susceptible to corrosion due to long exposure under harsh corrosive conditions. Here, we investigated the reliability and effectiveness of nonwoven zinc(II) oxide-polyvinylidene fluoride (ZnO-PVDF) nanocomposite fiber textiles as an embedded corrosion sensor. An accelerated thermal cyclic method paired to electrochemical impedance spectroscopy (EIS) was used for this purpose. Sensor accuracy and reliability were determined using the textile and instrument as reference electrodes. The results showed that the coating and the sensor improved the corrosion resistance when ZnO was added to the sensor textile and introduced into the coating. As the coating’s glass transition was approached, the corrosion performance of the coating degraded and the sensor accuracy decreased. The results suggested that the flexible sensor is reliable at both monitoring the corrosion and acting as a corrosion barrier. Full article
(This article belongs to the Special Issue Nanocomposite Sensors)
►▼ Show Figures

Figure 1

14 pages, 3462 KiB  
Article
Strain Sensing Coatings for Large Composite Structures Based on 2D MXene Nanoparticles
by Gediminas Monastyreckis, Anastasiia Stepura, Yaryna Soyka, Hanna Maltanava, Sergey K. Poznyak, Mária Omastová, Andrey Aniskevich and Daiva Zeleniakiene
Sensors 2021, 21(7), 2378; https://doi.org/10.3390/s21072378 - 29 Mar 2021
Cited by 22 | Viewed by 3275
Abstract
Real-time strain monitoring of large composite structures such as wind turbine blades requires scalable, easily processable and lightweight sensors. In this study, a new type of strain-sensing coating based on 2D MXene nanoparticles was developed. A Ti3C2Tz MXene [...] Read more.
Real-time strain monitoring of large composite structures such as wind turbine blades requires scalable, easily processable and lightweight sensors. In this study, a new type of strain-sensing coating based on 2D MXene nanoparticles was developed. A Ti3C2Tz MXene was prepared from Ti3AlC2 MAX phase using hydrochloric acid and lithium fluoride etching. Epoxy and glass fibre–reinforced composites were spray-coated using an MXene water solution. The morphology of the MXenes and the roughness of the substrate were characterised using optical microscopy and scanning electron microscopy. MXene coatings were first investigated under various ambient conditions. The coating experienced no significant change in electrical resistance due to temperature variation but was responsive to the 301–365 nm UV spectrum. In addition, the coating adhesion properties, electrical resistance stability over time and sensitivity to roughness were also analysed in this study. The electromechanical response of the MXene coating was investigated under tensile loading and cyclic loading conditions. The gauge factor at a strain of 4% was 10.88. After 21,650 loading cycles, the MXene coating experienced a 16.25% increase in permanent resistance, but the response to loading was more stable. This work provides novel findings on electrical resistance sensitivity to roughness and electromechanical behaviour under cyclic loading, necessary for further development of MXene-based nanocoatings. The advantages of MXene coatings for large composite structures are processability, scalability, lightweight and adhesion properties. Full article
(This article belongs to the Special Issue Nanocomposite Sensors)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop