Anisotropic Nanomaterials for Sensing Applications
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Applied Chemical Sensors".
Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 10984
Special Issue Editor
Special Issue Information
Anisotropic nanomaterials enjoy unique functionalities derived from their nanoscale morphology, that make them extremely attractive for devising new applications. This is a class of nanomaterials with direction-dependent physical and chemical properties. Several one-, two-, and three-dimensional anisotropic nanomaterials have been developed using different material constitutes, such as metals, polymers, dielectrics, carbon, semiconductors, and oxides.
An important application of anisotropic nanomaterials is sensing. Accordingly, anisotropic nanomaterials promise the detection of lower biomolecular concentrations, which is a necessary step for early cancer screening and detection. For these reasons, various engineered anisotropic nanomaterials, such as 1D nanofibers, nanorods, 2D nanoribbon, nanofilms, nanoporous materials, anisotropic metasurfaces and hyperbolic metamaterials, have been widely used to improve the performance of sensing, in particular chemo- and bio-sensors. Novel interrogation and sensing schemes are necessary to utilize the morphological advantages of anisotropic nanomaterials.
This Special Issue focusses on the latest developments in anisotropic nanomaterials and their applications in sensing, including chemo- and bio-sensors. This issue also covers novel design principles and sensing methods based on deep learning and artificial intelligence.
Dr. Kandammathe V. Sreekanth
Guest Editor
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Keywords
- Anisotropic nanomaterials preparation and properties
- Anisotropic metasurfaces and hyperbolic metamaterials
- Anisotropic nanomaterials based chemo- and bio-sensors
- Optical and plasmonic sensors
- Anisotropic noble metal nanoparticles for biosensing
- Label-based and label-free optical sensors
- Novel sensing methods and design principles
- Modelling and simulations