posted on 2014-04-02, 00:00authored byRaghunath
O. Ramabhadran, Yun Liu, Yuran Hua, Moira Ciardi, Amar H. Flood, Krishnan Raghavachari
Despite its ubiquity during the binding
and sensing of fluoride,
the role of bifluoride (HF2–) and its
binding properties are almost always overlooked. Here, we give one
of the first examinations of bifluoride recognition in which we use
computer-aided design to modify the cavity shape of triazolophanes
to better match with HF2–. Computational
investigation indicates that HF2– and
Cl– should have similar binding affinities to the
parent triazolophane in the gas phase. Evaluation
of the binding geometries revealed a preference for binding of the
linear HF2– along the north–south
axis with a smaller Boltzmann weighted population aligned east–west
and all states being accessed rapidly through in-plane precessional
rotations of the anion. While the 1H NMR spectroscopy studies
are consistent with the calculated structural aspects, binding affinities in solution were determined to be significantly smaller
for the bifluoride than the chloride. Computed geometries suggested
that a 20° tilting of the bifluoride (stemming from the cavity
size) could account for the 25-fold difference between the two binding
affinities, HF2– < Cl–. Structural variations to the triazolophane’s geometry and
electronic modifications to the network of hydrogen bond donors were
subsequently screened in a stepwise manner using density functional
theory calculations to yield a final design that eliminates the tilting.
Correspondingly, the bifluoride’s binding affinity (K ∼ 106 M–1) increased
and was also found to remain equal to chloride in the gas
and solution phases. The new oblate cavity appeared to hold
the HF2– in a single east–west
arrangement. Our findings demonstrate the promising ability of computer-aided
design to fine-tune the structural and electronic match in anion receptors
as a means to control the arrangement and binding strength of a desired
guest.