We
present a comprehensive thermogravimetric analysis (TGA) of
polyethylenimine (PEI)-impregnated resorcinol-formaldehyde (RF) aerogels.
While numerous studies focus on PEI-impregnated SBA, RF materials
have been less examined, despite their interest and specificities.
As most articles on PEI-impregnated porous materials follow typical
experimental methods defined for SBA, particularities of RF-PEI materials
could remain unheeded. The design of nonisothermal TGA protocols,
completed with nitrogen isotherms, based on the systematic filling
of the matrix delivers a fundamental understanding of the relationship
between the structure and function. This study demonstrates (i) the
competition between the matrix and PEI for CO2-physisorption
(φ) and CO2-chemisorption (χ), (ii) the hysteresis
() of CO2 capture at low temperature attributed to the kinetic (K) hindrance of CO2 diffusion (D) through PEI film/plugs limiting the chemisorption, and (iii) the
thermodynamic (θ) equilibrium limiting the capture at high temperature.
At variance with SBA-PEI materials, the first layers of PEI in RF
are readily available for CO2 capture given that this matrix
does not covalently bind PEI as SBA. A facile method allows the discrimination
between physi- and chemisorption, exhibiting how the former decreases
with PEI coverage. The CO2 capture hysteresis, while seldom
introduced or discussed, underlines that the commonly accepted operating
temperature of the “maximum capture” is based on an
incomplete experiment. Through isotherm adsorption analysis, we correlate
the evolution of this maximum to the morphological distribution of
PEI. This contribution highlights the specificities of RF-PEI and
the advantages of our TGA protocol in understanding the structure/function
relationship of this kind of material by avoiding the typical direct
applications of SBA-specific protocols. The method is straightforward,
does not need large-scale facilities, and is applicable to other materials.
Its easiness and rapidness are suited to high-volume studies, befitting
for the comprehensive evaluation of interacting factors such as the
matrix′s nature, pore size, and PEI weight.