It has been demonstrated that merging the inherent sorptive
behavior
of amorphous silica with organic groups increases the adsorption capabilities
of the solid silica. However, the underlying mechanism of the adsorption
process in the functionalized materials is not fully understood, limiting
the possibility of designing optimal adsorbent materials for different
applications; hence, the availability of complementary methods to
advance in this field is of great interest. Here we present results
concerning the adsorption of CO2 in amine-functionalized
silica materials, by Monte Carlo simulations, providing new insight
into the capture mechanism. We propose a simulation methodology for
the design of postsynthesis-functionalized silica materials in which
realistic model adsorbents are generated using an energy bias selection
scheme for the possible grafting sites. This methodology can be applied
to different materials. In this work, we evaluate a model MCM-41 for
CO2 adsorption using grand canonical Monte Carlo simulations,
and compared the results with available experimental data. A new methodology
is presented, which allows accounting for the chemisorbed CO2 on the adsorption isotherms. The results indicate that although
chemisorption is an important part of this process at low pressures,
physisorption also plays a significant role in the capture of CO2 in these materials. Functionalization increases the interactions
of the CO2 molecules with the surface, whereas it decreases
the available space for adsorption of CO2; the overall
efficiency of the improved adsorption lies on the availability of
adsorption space versus stronger interactions. In addition to the
adsorption isotherms, we studied the configurations of the amine chains
during the adsorption process for different degrees of functionalization
as well as the effect of the concentration of grafted amines on the
adsorption isotherm. The overall results show that molecular simulations
serve as a guide to quantify the CO2 amount that can be
easily sorbed for carbon capture applications, highlighting the importance
of this approach.