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Faculty Research Interests
University of Iowa analytical chemistry faculty and their basic research interests are listed below.
Web pages with a more detailed description can be obtained by clicking on an individual faculty members
name in the list.
| Vicki
H. Grassian I have begun to use computational methods
as an aid in the interpretation of the infrared spectra of adsorbed
molecules. In a recent study of CO adsorption in cation exchanged
zeolites, we used ab-initio quantum mechanical calculations to determine
the CO vibrational frequencies and bond lengths of CO interacting
with the different cations inside the zeolite cage. The effect of
exchanged alkaline earth cation (Be2+, Mg2+, Ca2+, Sr2+, and Ba2+)
on the vibrational frequency of the adsorbed CO molecule was studied
using quantum chemical ab initio calculations (see CO Adsorption
as a Probe of the Electric Field Gradient in Alkaline-Earth Exchanged
Zeolite Beta Using FTIR and Ab Initio Quantum Calculations, Ping
Li, Yan Xiang, Vicki H. Grassian, Sarah C. Larsen, Journal of
Physical Chemistry B, 1999, 103,
5058-5062).
More recently, I have applied these computational
methods to Al2O3 surfaces. In these calculations, different cluster
models are used to calculate vibrational frequencies, bond lengths
and bond angles of adsorbates on Al2O3 surface. I am currently using
these cluster models to determine the vibrational frequency of a
variety of adsorbates including surfaces species formed from the
adsorption of nitrogen dioxide, dichloroacetyl chloride and formaldehyde
on oxide surfaces. |
| Sarah
C. Larsen My research program focuses on the application
of magnetic resonance spectroscopy to zeolite-based environmental
catalysts. Recently, our experimental results have motivated us
to use quantum chemical computational methods to calculate spectroscopic
parameters so that we can interpret experimental data. Primarily,
we are interested in using density functional theory methods to
calculate the electron paramagnetic resonance (EPR) parameters of
transition metal-exchanged zeolites. The interpretation of the experimental
EPR spectra of paramagnetic transition metals is largely empirical
in nature and has prevented EPR spectroscopy from achieving its
full potential as a technique for determining electronic structure
in transition metal systems. Our goal is to use the computational
results to enhance the interpretation of the experimental data so
that structure/function relationships can be elucidated.
Combining Theory and Experiment to Interpret
the EPR Spectra of VO2+ -Exchanged Zeolites, Patrick J. Carl, Sara
Isley, and Sarah C. Larsen, Journal of Physical Chemistry A,
2001, 105, 4563-4573. |
| Claudio Margulis My research group is mainly focused on the study
of chemical dynamics from a theoretical and computational
point of view. We are interested in the broad areas of statistical
mechanics, classical and quantum dynamics.
Some of the projects we are currently studying involve sugar-protein
interactions. This is an extremely important
problem because sugars are key to the recognition of viruses and
bacteria by monoclonal antibodies and other
agents of the immune system. Another project that we are currently
actively pursuing is the study of novel "green
chemistry" room temperature ionic solvents. These new solvents
are relatively large organic ions that are liquid
at room temperature but posses virtually zero vapor pressure. This
makes them recyclable and a promising option
as a replacement for more damaging volatile organic solvents. Finally
we are also interested in the dynamics of molecules
that have been photo-excited to different electronic states. We study
the process of inter-system crossing and solvent
mediated quenching into the ground electronic state. The
following describes some of the work done on green chemistry ionic
solvents:
Computer simulation of a “green chemistry” room-temperature
ionic solvent.
C. J. Margulis, H. A. Stern and B. J. Berne. J. Phys. Chem.
B,
106 (46), 2002. |
| Dan
Quinn The Quinn research group utilizes computational
chemistry as a tool in interpreting the properties and reactivity
of the enzymes studies in their laboratory. Of particular interest
is acetylcholinesterase (AChE), an enzyme that is not only important
in human therapeutics as the only target to date for drugs that
treat Alzheimerís disease, but also is important to our national
security as the biocatalyst that is inhibited by many chemical warfare
agents. The Quinn group uses quantum chemistry calculations to aid
in understanding the interaction of substrates and drugs with the
AChE active site, and statistical thermodynamics calculations to
interpret kinetic isotope effect experiments and to map the energetics
of ligand movements in the active site.
The following paper illustrates the efficacy
of computational chemistry in understanding AChE catalysis:
Malany, S., Baker, N., VerWeyst, M., Medhekar, R., Quinn, D. M.,
Velan, B., Kronman, C., and Shafferman, A., Theoretical and Experimental
Investigations of Electrostatic Effects on Acetylcholinesterase
Catalysis and Inhibition Chemico-Biological Interactions
1999, 119-120, 99-110. |
| Mark
Young We employ advanced computational chemistry methods
as tools to help us understand the results of our experimental research
program. Rather than develop new theoretical methods, we are interested
in applying available, state-of-the-art computational approaches
to augment our experiments. The computational models provide insight
into the structure, spectroscopy and chemical dynamics of molecular
systems that we study in our work on electron- and proton-transfer
in complexes and heterogeneous atmospheric chemistry. For example,
computational models of hydrocarbon-O2 complexes, which may play
a role in atmospheric oxidation chemistry, allowed us to predict
the structure of the complex and describe the nature of the electron
transfer process, as detailed in the accompanying journal article.
G. Deboer, A. Prezler Prince, M. A. Young,
Charge-Transfer Mediated Photochemistry in Alkene-O2 Complexes Journal
of Chemical Physics, 2001, 115, 3112. |
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