Surface modifcation of PMMA polymer detected by XPS - Open Research Data - Bridge of Knowledge

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Surface modifcation of PMMA polymer detected by XPS

Description

In order to obtain the experimental specimens, four PMMA/PC61BM samples with the following  mass proportions were prepared: 10%, 20%, 30%, and 40%. In addition, as a reference, a PMMA sample without  PC61BM was prepared as well. For the fabrication process, PC61BM 99.5% (Solenne BV), chloroform HPLC  (Sigma Aldrich), and PMMA (commercially available sheets) were used. Firstly, the PMMA was dissolved in  chloroform. Next, the obtained solution was divided into vials, approx. 1 ml each. Ten PC61BM was added to  the vials and sonifcated for 20 min. Finally, a dispersion of the PC61BM in the PMMA was spin-cast on a clear  glass substrate at 1500 rpm for 25 s. Te probe liquids for water contact angle measurement were distilled water  from a local supplier. Argon of purity of≥99.998 (% vol.), used as the plasma forming gas, was purchased from  Air Liquide Polska. 

The detailed chemical composition of samples was analyzed by X-ray photoemission spectroscopy (XPS). XPS measurement was carried out using Omicron NanoScience equipment. Samples were measured at room temperature, under the ultra-high vacuum conditions and pressures below 1.1 x 10-8 mBar. The photoelectrons were excited by a Mg-Kα x-ray source operated at 15 keV and 300 W. Argus hemispherical spectrophotometer equipped with 128 channel detector was used for photoelectrons energy measurements. The data analysis was performed with the CASA XPS software, using Shirley background subtraction and Gauss-Lorentz curve fitting algorithm by the least-squares method - GL (30).

Dataset file

xps.zip
288.9 kB, S3 ETag 968f5cbfe77c26da2458483922c53d55-1, downloads: 5
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File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.
Software:
origin, casa XPS

Details

Year of publication:
2021
Verification date:
2021-07-26
Creation date:
2021
Dataset language:
English
Fields of science:
  • materials engineering (Engineering and Technology)
DOI:
DOI ID 10.34808/ajzf-5x63 open in new tab
Verified by:
Gdańsk University of Technology

Keywords

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