Dialysis has been
recognized as an essential treatment for end-stage
renal disease (ESRD). This therapy, however, suffers from several
limitations leading to numerous complications in the patients. As
dialysis cannot completely substitute healthy kidney functions, the
health condition of an ESRD patient is ultimately affected. Wearable
artificial kidney (WAK) can resolve the restrictions of blood purification
by the dialysis method. However, absorbing large amounts of urea produced
in the body is one of the main challenges of these WAK and overcoming
this is necessary to improve both functionality and footprint of the
device. This study investigates the adsorption capabilities of N-
and P-doped graphene nanosorbents for the first time by using molecular
dynamic simulation. Urea removal on carbon nanosheets was simulated
with different percentages of phosphorus and nitrogen dopants along
with the pristine graphene. Specifically, the effects of interaction
energy, adsorption percentage, gyration radius, hydrogen bonding,
and other molecular dynamic analyses on urea removal were also investigated.
The results from this study match well with the existing research,
demonstrating the accuracy of the model. The results further suggest
that graphene nanosheets doped by 10% nitrogen are likely the most
effective in removing urea given that it is associated with the maximum
radial distribution function (RDF), the maximum reduction in gyration
radius, a high number of hydrogen bonds, and the most negative adsorption
energy. This molecular study offers attractive suggestions for the
novel adsorbents of artificial kidney devices and paves the way for
the development of novel and enhanced urea adsorbents.