Pl. Sheridan et al., THE USE OF MOLECULAR-ORBITAL INDEXES TO PREDICT THE SURFACE-PROPERTIES OF PHARMACEUTICAL POWDERS, International journal of pharmaceutics, 125(1), 1995, pp. 141-149
The electron density, frontier electron density and superdelocalisabil
ity indices have been calculated for the total molecular structures, a
nd the parts of the molecules which are anticipated to be involved in
hydrogen bonding interactions. The models used comprised of an homolog
ous series (alkyl p-hydroxybenzoates), materials related by a common r
ing structure, but with differing substituents (imidazoles), and three
related comparatively large molecular weight drugs (HMG-CoA reductase
inhibitors). Surface energies were determined from contact angle data
with water, using Neumann's equation of state. No relationship was se
en between data for total molecular orbital indices for the molecules
and measured contact angles or derived surface energies. However, when
the hydrogen bonding atoms of the molecules were selected, a good lin
ear correlation was observed for all three types of molecule between s
uperdelocalisability and bath contact angle and surface energy. This i
s expected as the hydrogen bonding regions are probably especially imp
ortant in interactions with water. Two (of 16) molecules were outliers
from the general relationship. These were one of the HMG-CoA reductas
e inhibitors and methyl p-hydroxybenzoate. It is possible that the hig
h molecular weight of the first of these molecules was the cause of an
error in calculation of the molecular orbital indices (due to optimis
ation to a secondary minimum). For the methyl p-hydroxybenzoate, there
are considerable data in the literature to indicate that this materia
l has idiosyncratic properties. Its curious behaviour is examined with
consideration to possible crystal packing energy differences over oth
er members in the series. The data presented here give encouragement t
hat the surface properties of a wide range of different materials may
be predicted from molecular structure, however, there are inevitable o
utliers which will mean that predictions will have to be confirmed wit
h practical observations, until modelling approaches have been develop
ed further and adequately validated.