Conspectus
When molecules transition from
the condensed
phase to the gas phase,
their spectra undergo a dramatic transformation as well; each peak
in a condensed-phase spectrum can yield thousands of peaks in the
gas phase because the molecules are free to rotate and those rotational
motions are quantized. These gas-phase spectra contain a wealth of
detailed information about molecular structure and behavior, but peak
densities are often so high that congestion obscures the patterns
needed to assign peaks and extract molecular constants. This Account
describes how coherent multidimensional techniques not only reduce
peak densities and congestion in gas-phase spectra but also create
multidimensional patterns that are easy to recognize and interpret.
First, all peaks with the same vibrational quantum numbers form rotational
patterns such as X’s, double parabolas, and asterisks. These
rotational patterns are composed of basic units and can provide immediate
information about the molecule’s structure, behavior, and rotational
selection rules. Second, groups of these rotational patterns can be
arranged into vibrational patterns that form arrays of rectangles
or parallelograms. These vibrational patterns can be used to determine
wave-mixing processes and measure vibrational constants. Coherent
multidimensional spectroscopy therefore automatically separates vibrational
and rotational information and then sorts peaks by vibrational and
rotational quantum number. Furthermore, if the sample is composed
of a mixture, then these patterns can also sort peaks by species,
and higher-dimensional techniques can even provide the ability to
select a species in the mixture. These techniques have successfully
produced highly patterned 2D and 3D spectra for samples that otherwise
generate patternless spectra such as isotopologue mixtures and vibronically
perturbed molecules such as NO2.
High densities of
states can lead to congestion and perturbations
that make it difficult to accurately assign peaks using the information
that is traditionally available from 1D spectra: a peak’s intensity
and its frequency. Coherent 2D and 3D techniques are well-suited for
dealing with and learning from perturbations because the coordinate
of each peak in multidimensional space includes multiple frequency
values. Accurate assignments are possible when peaks in 2D or 3D spectra
that are perturbed along one frequency axis are unperturbed along
an orthogonal frequency axis. Furthermore, patterns often repeat in
adjacent rows or columns, so regions that are less congested can be
used to resolve or identify key peaks or patterns in regions that
are severely congested. Perturbations can make the spacings within
multidimensional rotational and vibrational patterns slightly irregular,
but these automatically generated patterns remain easy to recognize
and analyze.
This Account describes three high-resolution coherent
multidimensional
spectroscopy techniques, the types of patterns they can produce, and
how information can be extracted from these patterns. This...