Dataset for "Sensing pH of individual microdroplet by combining SERS and indicator paper"
This dataset contains the simulated maximum plasmon induced electric field enhancement factor of spherical metallic nanoparticles. Three different particle diameters were investigated, 20 nm, 40 nm and 60 nm. The simulations were finite-difference time-domain simulations performed in Lumerical. The simulation domain was a three-dimensional cube void spanning 1 µm in each direction. The mesh granularity was 1 nm in the volume occupied by the nanoparticle providing high fidelity electric field data. A broad-spectrum Mie source of light (100 nm to 800 nm) was employed and encapsulated the nanoparticle. The electric field distribution in the plane perpendicular to the incident wave vector of the light, bisecting the nanoparticle, was monitored to determine the maximum electric field enhancement. In the first instance, three different material property annals for Au in Lumerical (Palik, CRC handbook of chemistry and physics (CRC) and Johnson & Christy) were modelled and simulated to determine the sensitivity of simulations on the selected material model. Subsequently, a range of metallic material models were trialled to assess the sensitivity of the electric field enhancements on material: Cr (CRC), Fe (CRC), Ti (CRC), Al (CRC), Pt (Palik), Ni (CRC), Pd (Palik), Cu (CRC), Ag (Palik). The excel file contains the maximum electric field enhancments for the different materials.
Cite this dataset as:
Gong, K.,
Jones, R.,
Li, K.,
Xu, G.,
Cheng, H.,
Feng, Y.,
Valev, V.,
Zhang, L.,
2021.
Dataset for "Sensing pH of individual microdroplet by combining SERS and indicator paper".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00996.
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Data
Max_E-Field … Simulations.csv
text/plain (336B)
Creative Commons: Attribution 4.0
Simulations data of the maximum electric field strength for nanoparticles of different sizes (Diameters = 20 nm, 40 nm and 60 nm) observed at the spectral wavelength of 785 nm. Data were obtained for various materials and material models in Lumerical.
Creators
Kedong Gong
Fudan University
Robin Jones
University of Bath
Kejian Li
Fudan University
Guanjun Xu
Fudan University
Hanyun Cheng
Fudan University
Yiqing Feng
Fudan University
Ventsislav Valev
University of Bath
Liwu Zhang
Fudan University
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
The simulations were performed in Lumerical using finite-difference time-domain. The material models were provided by the software's material libraries.
Funders
Ministry of Science and Technology of the People's Republic of China
https://doi.org/10.13039/501100002855
Grant
2016YFE0112200
Ministry of Science and Technology of the People's Republic of China
https://doi.org/10.13039/501100002855
Grant
2016YFC0202700
National Natural Science Foundation of China
https://doi.org/10.13039/501100001809
Grant
21976030
National Natural Science Foundation of China
https://doi.org/10.13039/501100001809
Grant
21677037
Natural Science Foundation of Shanghai
https://doi.org/10.13039/100007219
Grant
19ZR1471200
Natural Science Foundation of Shanghai
https://doi.org/10.13039/100007219
Grant
17ZR1440200
Royal Society
https://doi.org/10.13039/501100000288
International Collaboration Awards of the RS - Clean Air
ICA\R1\201088
Publication details
Publication date: 30 July 2021
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00996
URL for this record: https://researchdata.bath.ac.uk/id/eprint/996
Related papers and books
Gong, K., Jones, R. R., Li, K., Xu, G., Cheng, H., Feng, Y., Valev, V. K., and Zhang, L., 2021. Sensing pH of individual microdroplet by combining SERS and indicator paper. Sensors and Actuators B: Chemical, 346, 130521. Available from: https://doi.org/10.1016/j.snb.2021.130521.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Robin Jones
Faculty of Science
Physics
