Zirconium-based metal–organic
frameworks (Zr-MOFs) have been reported to be efficient catalysts
for the hydrolysis of organophosphate chemical warfare agents (CWAs)
in buffered solutions. However, for the gas-phase reaction, which
is more relevant to the situation in a battlefield gas mask application,
the kinetics of Zr-MOF catalysts may be severely hindered by strong
product inhibition. To improve the catalytic performance, we computationally
screened a series of synthetically accessible Zr-MOF-supported bimetallic
metal-oxo clusters in which the metal–oxygen–metal active
motif is preserved, aiming to find catalysts that have lower binding
affinities to the hydrolysis product. For the promising catalyst Al2O2(OH)2@NU-1000 identified from the
screening using density functional theory, we mapped out the full
reaction pathway of gas-phase dimethyl p-nitrophenolphosphate (DMNP)
hydrolysis and analyzed the free energy profile as well as the turnover
frequency (TOF). We found that the catalytic mechanism on the new
catalyst is slightly different from the one on NU-1000, which also
led to a different TOF-limiting step. Additional factors that can
affect the overall catalytic performance in practical application,
such as the amount of ambient moisture and the existence of acid gases
that may poison the catalyst, have also been evaluated