scholarly journals A selective detection approach for copper(ii) ions using a hydrazone-based colorimetric sensor: spectroscopic and DFT study

RSC Advances ◽  
2018 ◽  
Vol 8 (70) ◽  
pp. 39983-39991 ◽  
Author(s):  
Ismail Abdulazeez ◽  
Chanbasha Basheer ◽  
Abdulaziz A. Al-Saadi
Keyword(s):  
Analytical Approach ◽  
Colorimetric Sensor ◽  
Dft Study ◽  
Selective Detection ◽  
Detection Approach ◽  
Research Challenge ◽  
A Current ◽  
Toxic Ions

The development of an efficient and miniaturized analytical approach to determine trace levels of toxic ions in aqueous fluids presents a current research challenge.

scholarly journals A muscle synergies-based movements detection approach for recognition of the wrist movements

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Aida Masoumdoost ◽  
Reza Saadatyar ◽  
Hamid Reza Kobravi
Keyword(s):  
Decision Fusion ◽  
Classification Performance ◽  
Muscle Synergy ◽  
Fusion Algorithm ◽  
Main Research ◽  
Main Challenge ◽  
Detection Approach ◽  
Average Accuracy ◽  
Bayesian Fuzzy Clustering ◽  
Research Challenge

Abstract Myoelectric signals are regarded as the control signal for prosthetic limbs. But, the main research challenge is reliable and repeatable movement detection using electromyography. In this study, the analysis of the muscle synergy pattern has been considered as a key idea to cope with this main challenge. The main objective of this research was to provide an analytical tool to recognize six wrist movements through electromyography (EMG) based on analysis of the muscle synergy patterns. In order to design such a system‚ the synergy patterns of the wrist muscles have been extracted and utilized to identify wrist movements. Also, different decision fusion algorithms were used to increase the reliability of the synergy pattern classification. The classification performance was evaluated while no data subject was enrolled. In terms of the achieved performance, using a multi-layer perceptron (MLP) neural network as the fusion algorithm turned out to be the best combination. The classification average accuracy, obtained in an offline manner, was about 99.78 ± 0.45%. While the classification average cross-validation accuracy, obtained in an offline manner, using Bayesian fusion, and Bayesian fuzzy clustering (BFC) fusion algorithm were 99.33 ± 0.80% and 96.43 ± 1.08%, respectively.

Design-for-test (DfT) study on a current mode DAC

1996 ◽  
Vol 143 (6) ◽  
pp. 374 ◽  
Author(s):  
T. Olbrich ◽  
R. Mozuelos ◽  
A. Richardson ◽  
S. Bracho
Keyword(s):  
Current Mode ◽  
Dft Study ◽  
Design For Test ◽  
A Current

scholarly journals Excitation of surface plasmon waves with a nanoantenna: simple analytical solution and its numerical verification

2020 ◽  
Vol 44 (6) ◽  
pp. 893-900
Author(s):  
A.V. Dyshlyuk ◽  
A.A. Bogdanov ◽  
O.B. Vitirk
Keyword(s):  
Surface Plasmon ◽  
Time Domain ◽  
Dielectric Waveguide ◽  
Analytical Approach ◽  
Reciprocity Theorem ◽  
Numerical Verification ◽  
Two Dimensional ◽  
Waveguide Modes ◽  
Plasmon Polaritons ◽  
A Current

In this work, we demonstrate a simple analytical approach to the problem of surface plasmon polaritons excitation with a metallic nanoantenna placed above a metal surface. The method uses the reciprocity theorem and is similar to the calculation of amplitudes of dielectric waveguide modes excited by a current distribution. To maximize clarity of the demonstration, we formulate the problem in a simple two-dimensional geometry. The analytical results are shown to agree well with the numerical solution obtained by finite elements in frequency domain and finite difference in time domain methods.

scholarly journals Robust colorimetric detection based on the anti-aggregation of gold nanoparticles for bromide in rice samples

RSC Advances ◽  
2018 ◽  
Vol 8 (38) ◽  
pp. 21566-21576 ◽  
Author(s):  
Siwat Plaisen ◽  
Wilairat Cheewasedtham ◽  
Thitima Rujiralai
Keyword(s):  
Gold Nanoparticles ◽  
Colorimetric Detection ◽  
Colorimetric Sensor ◽  
Selective Detection ◽  
Bromide Ions ◽  
Rice Samples

In this work, we developed a AuNP colorimetric sensor for the facile, sensitive and selective detection of bromide ions in rice samples.

A novel pyrene based highly selective reversible fluorescent-colorimetric sensor for the rapid detection of Cu2+ ions: application in bio-imaging

2018 ◽  
Vol 10 (9) ◽  
pp. 1063-1073 ◽  
Author(s):  
Anupam Ghorai ◽  
Jahangir Mondal ◽  
Amit Kumar Manna ◽  
Shubhamoy Chowdhury ◽  
Goutam K. Patra
Keyword(s):  
World Health Organization ◽  
Rapid Detection ◽  
Low Cost ◽  
Colorimetric Sensor ◽  
World Health ◽  
Selective Detection ◽  
Imaging Methods ◽  
The World ◽  
Bio Imaging ◽  
Health Organization

A simple, low-cost pyrene derivative containing a benzilmonohydrazone moiety has been exploited for the selective detection of Cu2+ by colorimetric, absorption, emission and bio-imaging methods. The sensitivity of the fluorescence based assay is 7.8 nM for Cu2+, which is far below the limit mentioned in the World Health Organization.

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