The Role of Metamaterials and Plasmons for Novel Sensing Applications

2007 ◽  
Author(s):  
D. R. Smith
Keyword(s):  
Sensing Applications

The Role of Hydrophobicity in the Stability and pH-Switchability of (RXDX)4 and Coumarin-RXDX Conjugate β-Sheets

2020 ◽  
Author(s):  
Ryan Weber ◽  
Martin McCullagh
Keyword(s):  
Biological Imaging ◽  
Ph Sensing ◽  
Hydrophobic Residue ◽  
Ideal Candidate ◽  
Self Assembling ◽  
Sensing Applications ◽  
Β Sheets ◽  
The Stability ◽  
Dynamics Simulations

<p>pH-switchable, self-assembling materials are of interest in biological imaging and sensing applications. Here we propose that combining the pH-switchability of RXDX (X=Ala, Val, Leu, Ile, Phe) peptides and the optical properties of coumarin creates an ideal candidate for these materials. This suggestion is tested with a thorough set of all-atom molecular dynamics simulations. We first investigate the dependence of pH-switchabiliy on the identity of the hydrophobic residue, X, in the bare (RXDX)<sub>4</sub> systems. Increasing the hydrophobicity stabilizes the fiber which, in turn, reduces the pH-switchabilty of the system. This behavior is found to be somewhat transferable to systems in which a single hydrophobic residue is replaced with a coumarin containing amino acid. In this case, conjugates with X=Ala are found to be unstable and both pHs while conjugates with X=Val, Leu, Ile and Phe are found to form stable β-sheets at least at neutral pH. The (RFDF)<sub>4</sub>-coumarin conjugate is found to have the largest relative entropy value of 0.884 +/- 0.001 between neutral and acidic coumarin ordering distributions. Thus, we posit that coumarin-(RFDF)<sub>4</sub> containing peptide sequences are ideal candidates for pH-sensing bioelectronic materials.</p>

TiO2 Nanopowders for Sensing Applications; A Comparison between Traditional and Hydrothermal Synthesis Way

2006 ◽  
Vol 45 ◽  
pp. 205-208 ◽  
Author(s):  
Marco Nagliati ◽  
M.C. Carotta ◽  
S. Gherardi ◽  
Isidoro Giorgio Lesci ◽  
G. Martinelli
Keyword(s):  
Gas Sensing ◽  
Sol Gel ◽  
Spherical Shape ◽  
Morphological Properties ◽  
Fundamental Parameter ◽  
Fixed Temperature ◽  
Sensing Applications ◽  
Organometallic Precursor ◽  
Sem Analyses

Aim of the work is to compare the morphological properties of TiO2 powders obtained by different methods. The microstructure of powders is a fundamental parameter to judge if the material is suitable for gas sensing. Materials for chemical sensors have to be composed by nanometric and spherical shaped grains sintered in controlled conditions aimed to obtain Schottky barriers. We investigated a traditional sol-gel (SG) and an hydrothermal (HY) approach to obtain titanium dioxide powders. The same starting materials were chosen for both SG and HY method, a Ti-organometallic precursor and, as solvent, an hydroalcoholic solution. The work is focused on the different methodology and on the outcome related to the two methods (we describe step by step both of them). HY TiO2 powder shows smaller grains than SG TiO2 maintaining spherical shape. A comparison among different handled HY powders shows the role of dwelling time (at fixed temperature) on the nanostructure of grains. Experimental observations are mainly based on XRD and SEM analyses.

Role of Ga3+/Ti 4+ induced defects on UV sensing applications of Zn0.96875 (GaxTi 1-x) 0.03125 O

2020 ◽  
Author(s):  
Prashant Kumar Mishra ◽  
Saniya Ayaz ◽  
Gaurav Bajpai ◽  
Mohd. Nasir ◽  
Prashant Gupta ◽  
...  
Keyword(s):  
Sensing Applications ◽  
Induced Defects

On the role of a coumarin derivative for sensing applications: Nucleotide identification using a micellar system

2016 ◽  
Vol 477 ◽  
pp. 8-15 ◽  
Author(s):  
Alexandre Bettoschi ◽  
Andrea Ceglie ◽  
Francesco Lopez ◽  
Valeria Meli ◽  
Sergio Murgia ◽  
...  
Keyword(s):  
Coumarin Derivative ◽  
Micellar System ◽  
Sensing Applications

The Role of Hydrophobicity in the Stability and pH-Switchability of (RXDX)4 and Coumarin-RXDX Conjugate β-Sheets

2020 ◽  
Author(s):  
Ryan Weber ◽  
Martin McCullagh
Keyword(s):  
Biological Imaging ◽  
Ph Sensing ◽  
Hydrophobic Residue ◽  
Ideal Candidate ◽  
Self Assembling ◽  
Sensing Applications ◽  
Β Sheets ◽  
The Stability ◽  
Dynamics Simulations

<p>pH-switchable, self-assembling materials are of interest in biological imaging and sensing applications. Here we propose that combining the pH-switchability of RXDX (X=Ala, Val, Leu, Ile, Phe) peptides and the optical properties of coumarin creates an ideal candidate for these materials. This suggestion is tested with a thorough set of all-atom molecular dynamics simulations. We first investigate the dependence of pH-switchabiliy on the identity of the hydrophobic residue, X, in the bare (RXDX)<sub>4</sub> systems. Increasing the hydrophobicity stabilizes the fiber which, in turn, reduces the pH-switchabilty of the system. This behavior is found to be somewhat transferable to systems in which a single hydrophobic residue is replaced with a coumarin containing amino acid. In this case, conjugates with X=Ala are found to be unstable and both pHs while conjugates with X=Val, Leu, Ile and Phe are found to form stable β-sheets at least at neutral pH. The (RFDF)<sub>4</sub>-coumarin conjugate is found to have the largest relative entropy value of 0.884 +/- 0.001 between neutral and acidic coumarin ordering distributions. Thus, we posit that coumarin-(RFDF)<sub>4</sub> containing peptide sequences are ideal candidates for pH-sensing bioelectronic materials.</p>

scholarly journals Review and outlook: from single nanoparticles to self-assembled monolayers and granular GMR sensors

2010 ◽  
Vol 1 ◽  
pp. 75-93 ◽  
Author(s):  
Alexander Weddemann ◽  
Inga Ennen ◽  
Anna Regtmeier ◽  
Camelia Albon ◽  
Annalena Wolff ◽  
...  
Keyword(s):  
Self Assembly ◽  
Self Assembled Monolayers ◽  
Interparticle Interactions ◽  
Phase Synthesis ◽  
Sensing Applications ◽  
Solution Phase Synthesis ◽  
Assembled Monolayers ◽  
Recent Developments ◽  
Gmr Sensors

This paper highlights recent advances in synthesis, self-assembly and sensing applications of monodisperse magnetic Co and Co-alloyed nanoparticles. A brief introduction to solution phase synthesis techniques as well as the magnetic properties and aspects of the self-assembly process of nanoparticles will be given with the emphasis placed on selected applications, before recent developments of particles in sensor devices are outlined. Here, the paper focuses on the fabrication of granular magnetoresistive sensors by the employment of particles themselves as sensing layers. The role of interparticle interactions is discussed.

Nanofluidics Meets Plasmonics: Flow-Through Surface-Based Sensing

2010 ◽  
Author(s):  
C. Escobedo ◽  
A. G. Brolo ◽  
R. Gordon ◽  
D. Sinton
Keyword(s):  
Nanohole Array ◽  
Analysis And Evaluation ◽  
Sensing Applications ◽  
Analytical Work ◽  
Resonant Transmission ◽  
Nanohole Arrays ◽  
Flow Through ◽  
Rapid Transport ◽  
Array Format

Nanostructures exhibit both nanofluidic and nanophotonic phenomena that can be exploited in sensing applications. In the case of nanohole arrays, the role of surface plasmons on resonant transmission motivates their application as surface-based biosensors. Research to date, however, has focused on dead-ended (or ‘blind’) holes, and therefore failed to harness the benefits of nanoconfined transport combined with plasmonic sensing. A flow-through nanohole array format presented here enables biomarker sieving and rapid transport of reactants to the sensing surface. Proof of concept operation is demonstrated and compared with previous methods. The various transport mechanisms are characterized with the aim to utilize the metallic plasmonic nanostructure as an active element in concentrating as well as detecting analytes. The invited presentation will provide an overview of all our experimental, computational and analytical work in this area. This paper is focused on the analysis and evaluation of flow-through nanohole arrays for analyte sensing.

scholarly journals Emerging vistas of Remote Sensing Tools in Pollination Studies

Sociobiology ◽  
2019 ◽  
Vol 66 (3) ◽  
pp. 394
Author(s):  
Venkateswaran Krishnasamy ◽  
Ramakrishnan Sundaraguru ◽  
U. Amala
Keyword(s):  
Remote Sensing ◽  
Foraging Behaviour ◽  
Radio Telemetry ◽  
Anthropogenic Factors ◽  
Ecological Studies ◽  
Sensing Applications ◽  
Native Bee ◽  
Remote Sensing Applications ◽  
Floral Resource

With the growth of information and technology across the globe, remote sensing applications find a place in the ecological studies of pollinators. The utilization of remote sensing tools in understanding the ecosystem services rendered by the bee pollinators is reviewed here. We discussed how radar and radio telemetry techniques helps to track individual bees, their foraging behaviour and density in relation to altered phenology of flowering crops in a landscape. Role of satellite imagery tools in studying characterizing a landscape affected by anthropogenic factors was discussed.  Monitoring invasive bee species that cause a threat to native bee fauna was explored. We explained the utilization of unmanned aerial vehicles to map the floral resource that influence the density and incidence of pollinators. Remote sensing tools used to measure sequence of pollination events was discussed.

Remote Sensing of High Temperature H2O–CO2 Mixture with the Multi-Spectral Correlated-k Distribution Model

2020 ◽  
Vol 15 (11) ◽  
pp. 1335-1342
Author(s):  
Longfeng Hou
Keyword(s):  
Remote Sensing ◽  
Radiative Heat ◽  
Radiative Properties ◽  
Distribution Model ◽  
Scaling Functions ◽  
Spectral Absorption ◽  
Long Distance ◽  
Sensing Applications ◽  
Remote Sensing Applications

Radiative heat transfer of gas plays an important role in remote sensing applications. Several models have been proposed to estimate the radiative properties of gases. The Line-By-Line (LBL) approach is the most accurate one. However, The Line-By-Line (LBL) approach usually requires excessive computation cost which makes it not applicable for most industrial most applications. Nevertheless, it still plays the role of benchmark reference for the assessment of other models. In this work, we propose the application of the Multi-Spectral Correlated-k distribution model (MSCk) so as to make the simulation of hot jet signature at long distance. In the MSCk model, the breakdown of correlation assumption used in the original Ck model for non-uniform media is overcome by introducing the clustering of scaling functions. The principle of MSCk model is to group together wavenumbers with respect to the spectral scaling functions-defined as the ratio between spectral absorption coefficients in distinct states-so that the correlation assumption can be considered as relatively exact over the corresponding intervals of wavenumbers. Results show that the MSCk model demonstrates better performance compared with the traditional Ck model at nearly an equivalent calculation cost.

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