Dataset for ''High Flux Thin-Film Nanocomposites with Embedded Boron Nitride Nanotubes for Nanofiltration''
This dataset relates to the nanocomposite membranes discussed in the paper "High Flux Thin-Film Nanocomposites with Embedded Boron Nitride Nanotubes for Nanofiltration". It contains the raw data for the membranes' surface zeta potential, salts rejection, permeance, chlorine resistance, contact angle, fouling tests, humic acid rejection, and methylene blue rejection, as well as X-ray photoelectron spectroscopy (XPS) data. In addition, this data contains transmission electron microscopy (TEM), field-emission scanning electron microscopy (FESEM) and optical microscopy data supporting and supplemental to those presented in the paper. Viewing of the paper is necessary for a full understanding of the dataset.
Cite this dataset as:
Casanova, S.,
Liu, T.,
Chew, J.,
Livingston, A.,
Mattia, D.,
2019.
Dataset for ''High Flux Thin-Film Nanocomposites with Embedded Boron Nitride Nanotubes for Nanofiltration''.
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00686.
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Data
Membranes Surface … Potential.csv
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Surface Zeta potential at different pH. Raw data for Fig. 7.
R vs conc_v1.csv
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Dependence of CaCl2 rejection on salt concentration for the membranes analysed in this work. Raw data for Fig. 10.
NaOCl resistance … prehensive.csv
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Rejection (R) of CaCl2 and permeance (K) of PA-BARE, PA-BNNTs0.01, PA-BNNTs0.02 and PA-BNNTs0.03 as a function of the exposure to sodium hypochlorite. Raw data for Fig. 11.
IP membranes … diiodiomethane).csv
text/plain (763B)
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Contact angle data.
SC_258 5k s boat.TIF
image/tiff (472kB)
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FESEM of BNNTs showing open tips.
VHX_000051.jpg
image/jpeg (411kB)
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Optical Image of BNNTs bundles on Si wafer.
SC_64.csv
text/csv (8kB)
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Raman results for BNNTs bulk.
20170309_0911_40_SC061.tif
image/tiff (16MB)
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Image from BNNT TEM.
Fig. 9d.csv
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Rejection of humic acid in the two fouling cycles, MB rejection and FRR. Raw data for Fig. 9d.
ASCII.zip
application/zip (123kB)
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XPS data for the membranes in this work. Raw data for the calculation of crosslinking degree.
fouling_test.csv
text/plain (1MB)
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First and second fouling cycle and normalised data. Raw data for Fig. 9 b,c and e,f.
salts_rejection_permeance.csv
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Salts rejection and permeance data and error. Raw data from Fig. 9a.
Creators
Serena Casanova
University of Bath
Tian Yin Liu
Imperial College
John Chew
University of Bath
Andrew G Livingston
Imperial College London
Davide Mattia
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
The methodology used to gather this dataset is fully described in the "Materials and Methods" section of the related article.
Technical details and requirements:
OriginLab was the software used to generate the graphs. The instrument-supplied metadata for the TEM image is as follows: $CM_FORMAT: JEOL/EO; $CM_VERSION: 1.0; $CM_DATE: 09/03/2017; $CM_TIME: 09:11:40; $CM_OPERATOR: JEM Administrator; $CM_INSTRUMENT: JEM-2100 Plus; $CM_NAME: SC061; $CM_FRAME_SIZE: 3296 2472; $CM_DATA_BIT: 8; $CM_EFECT_BIT: 8; $CM_ACCEL_VOLT: 200; $CM_MAG: 20000; $CM_SIGNAL: TEM; $$EM_PIXELSPERMETER_X: 62033; $$EM_PIXELSPERMETER_Y: 62033; $$SM_MICRON_BAR: 620; $$SM_MICRON_MARKER: 500.0nm.
Funders
Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266
SynFabFun - From Membrane Material Synthesis to Fabrication and Function
EP/M01486X/1
Publication details
Publication date: 9 October 2019
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00686
URL for this record: https://researchdata.bath.ac.uk/id/eprint/686
Related papers and books
Casanova, S., Liu, T.-Y., Chew, Y.-M. J., Livingston, A., and Mattia, D., 2020. High flux thin-film nanocomposites with embedded boron nitride nanotubes for nanofiltration. Journal of Membrane Science, 597, 117749. Available from: https://doi.org/10.1016/j.memsci.2019.117749.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Serena Casanova
Faculty of Engineering & Design
Chemical Engineering
Research Centres & Institutes
Centre for Advanced Separations Engineering (CASE)
