Automated Author Profile

Taya, Sofyan A.

0000-0001-5060-2534

Current S-Index

1.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Attached a Mathcad Program which shows all the calculations and the way we have generated all figues. from A surface plasmon resonance nanostructures containing graphene and BaTiO<sub>3</sub> layers for sensitive defection of organic compounds

Organic compound-based sensors are used in a variety of significant fields, including medical research, azeotropic calibration, vegetable oil extraction, the shoe industry and geothermal power plants. Here, a high-performance, two-dimensional material-based organic compound sensor has been proposed using a surface plasmon resonance (SPR) nanostructure consisting of a BK7 glass prism, Ag, BaTiO3, Ag, graphene and sensing layer. The reflectivity curves of the SPR device have been investigated when the sensing media are Pentane, n-Hexane, n-Heptane and n-Octane. The thickness of the BaTiO3 layer and the number of graphene sheets have been optimized to maximize the sensitivity. The highest sensitivity attained is 220.83 deg/RIU for n-Octane with 45 nm silver/10 nm BaTiO3/8 nm silver and four layers of graphene. We believe that the SPR-based sensors are simple and can replace the spectrometry, chromatography and electrochemical based sensors. The proposed design is extremely effective for diverse applications in biological, industrial and chemical detection because of its simple structure and great performance.

Authors

  • Taya, Sofyan A. ;
  • Daher, Malek G. ;
  • Almawgani, Abdulkarem H. M. ;
  • Hindi, Ayman Taher ;
  • Colak, Ilhami
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.235212122023

Attached a Mathcad Program which shows all the calculations and the way we have generated all figues. from A surface plasmon resonance nanostructures containing graphene and BaTiO<sub>3</sub> layers for sensitive defection of organic compounds

Organic compound-based sensors are used in a variety of significant fields, including medical research, azeotropic calibration, vegetable oil extraction, the shoe industry and geothermal power plants. Here, a high-performance, two-dimensional material-based organic compound sensor has been proposed using a surface plasmon resonance (SPR) nanostructure consisting of a BK7 glass prism, Ag, BaTiO3, Ag, graphene and sensing layer. The reflectivity curves of the SPR device have been investigated when the sensing media are Pentane, n-Hexane, n-Heptane and n-Octane. The thickness of the BaTiO3 layer and the number of graphene sheets have been optimized to maximize the sensitivity. The highest sensitivity attained is 220.83 deg/RIU for n-Octane with 45 nm silver/10 nm BaTiO3/8 nm silver and four layers of graphene. We believe that the SPR-based sensors are simple and can replace the spectrometry, chromatography and electrochemical based sensors. The proposed design is extremely effective for diverse applications in biological, industrial and chemical detection because of its simple structure and great performance.

Authors

  • Taya, Sofyan A. ;
  • Daher, Malek G. ;
  • Almawgani, Abdulkarem H. M. ;
  • Hindi, Ayman Taher ;
  • Colak, Ilhami
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.23521212.v12023