Dataset for "Surface-enhanced Raman Spectroscopy Facilitates the Detection of Microplastics < 1 μm in the Environment"

Raw data text file output from Lumerical of the E-Field strength at 685, 785 and 885 nm modes with incident pulse of light centred at 785 nm with a span of 500 nm. The data is taken from a single plane cutting through a single pyrimidal pit of the Klarite surface structure.

Subjects:
Climate and climate change
Instrumentation, sensors and detectors
Materials sciences

Cite this dataset as:
Jones, R., 2020. Dataset for "Surface-enhanced Raman Spectroscopy Facilitates the Detection of Microplastics < 1 μm in the Environment". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00928.

Export

[QR code for this page]

Data

Data_Archive.zip
application/zip (4MB)
Creative Commons: Attribution 4.0

Raw data files of Lumerical simulations.

Documentation

Data collection method:

Finite difference time domain (FDTD) simulations were performed in Lumerical (a commercially available photonic simulation software) to gain insight into the electric-field distribution within the inverted pyramidal pits of the Klarite substrates. The material properties of the Au Klarite substrate was emulated using a Johnson & Christy model for Gold. Nine pyramidal pits were generated in the design modeller in a 3 x 3 grid with dimensional equality to the experimental Klarite. The Eulerian mesh was a cuboid FDTD simulation domain enclosing the central pit (a single unit cell). The granularity of the mesh was 8.5 nm and was selected based on a mesh sensitivity study to determine convergence and quality of results (see Supplemental section). In the cartesian basis, the z direction is normal to the surface of the Klarite; the x and y directions coincide with the plane of the Klarite surface. Periodic boundary conditions were applied in the x and y directions; simulating an infinite array of pyramidal pits. A perfectly matched layer (PML) boundary condition was applied to the upper and lower boundaries of the domain to model an open boundary. A linearly polarised plane wave pulse of light was incident directly onto the Klarite from 0.7 µm above the surface. The spectrum of the pulse was nominally centred at 785 nm to match the experimental laser wavelength of this study and had a bandwidth of 500 nm; the amplitude of the pulse was E_0= 0.5 V/m. A planar electric field monitor was placed in the vertical cross-section of the inverted pyramid pit, perpendicular to the direction of polarisation to extract the plasmonic electric field distribution at the wavelength of the incident light. The simulations were repeated for two other wavelengths of incident light (685 nm and 885 nm) to determine the wavelength dependence of the electric field distribution.

Technical details and requirements:

They were published in python using matplotlib

Additional information:

Text file data exported from lumerical

Funders

National Natural Science Foundation of China (NSFC)
https://doi.org/10.13039/501100001809

Grant
21976030

National Natural Science Foundation of China (NSFC)
https://doi.org/10.13039/501100001809

Grant
21677037

Ministry of Science and Technology of the People's Republic of China (MOST)
https://doi.org/10.13039/501100002855

Grant
2016YFE0112200

Ministry of Science and Technology of the People's Republic of China (MOST)
https://doi.org/10.13039/501100002855

Grant
2016YFC0202700

Natural Science Foundation of Shanghai (Shanghai Municipal Natural Science Foundation)
https://doi.org/10.13039/100007219

Grant
19ZR1471200

Natural Science Foundation of Shanghai (Shanghai Municipal Natural Science Foundation)
https://doi.org/10.13039/100007219

Grant
17ZR1440200

I could be a scientist
PEF1\170015

Fellowship - Chirality in the 21st century: enantiomorphing chiral plasmonic meta/nano-materials
RGF\EA\180228

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

Industrial Cooperative Awards in Science and Technology (CASE) Studentship

Publication details

Publication date: 23 October 2020
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00928

URL for this record: https://researchdata.bath.ac.uk/id/eprint/928

Related articles

Xu, G., Cheng, H., Jones, R., Feng, Y., Gong, K., Li, K., Fang, X., Tahir, M. A., Valev, V. K. and Zhang, L., 2020. Surface-Enhanced Raman Spectroscopy Facilitates the Detection of Microplastics <1 μm in the Environment. Environmental Science & Technology. Available from: https://doi.org/10.1021/acs.est.0c02317.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Robin Jones

Departments:

Faculty of Science
Physics