Experimental Characterization Dataset of UV-Modified and APTES-Functionalized Graphene Oxide Foam for Enhanced CO₂ Adsorption

Description

This dataset supports the research hypothesis that ultraviolet (UV) irradiation and subsequent amine functionalization can enhance the surface properties and CO₂ adsorption performance of graphene oxide foam (GOF) adsorbents. The hypothesis is based on the premise that UV treatment can modify the GOF structure by introducing additional oxygen-containing functional groups, creating structural defects, and improving accessibility to adsorption sites, while APTES functionalization can further enhance CO₂ affinity through amine–CO₂ interactions. The dataset contains experimental results including CO₂ adsorption measurements, Fourier-transform infrared spectroscopy (FTIR) spectra, X-ray diffraction (XRD) patterns, and Brunauer–Emmett–Teller (BET) surface analysis data. The CO₂ adsorption data demonstrates the adsorption performance of pristine GOF, UV-treated GOF, and APTES-functionalized GOF samples. FTIR data can be used to evaluate changes in surface functional groups associated with UV modification and amine grafting. XRD data provides information regarding structural changes and variations in interlayer spacing of the GOF framework, while BET analysis describes the textural properties, including surface area, pore volume, and pore size distribution. The data indicates that UV treatment and amine functionalization contribute to improved CO₂ adsorption performance compared with pristine GOF. The combined characterization results provide insights into the relationship between surface chemistry, structural modification, porosity, and adsorption behavior. The dataset can be interpreted to evaluate the influence of material modification strategies on GOF-based adsorbents and can be used as supporting information for the development of advanced carbon-based materials for CO₂ capture applications.

Institutions

• Universiti Teknologi Petronas

  Perak, Ipoh

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