Research Interests
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My research focuses on understanding and controlling
phase transitions and transport properties of macromolecular
solutions relevant to biotechnology and medicine. These studies will
involve techniques such as interferometry, static and dynamic light
scattering, turbimetry, chromatography, dialysis and
microscopy. Below I summarize some relevant aspects of my
research objectives.
Proteins. Proteins in solution are
subject to crystallization, liquid-liquid phase transition,
self-assembly, aggregation and gelation. Understanding and
controlling these processes is important for protein crystal growth,
protein aggregation diseases and the processing and use of
biomaterials. Fig. 1 shows the formation of protein crystals (A) and
protein-enriched liquid droplets (B) generated from aqueous
solutions. I am interested in understanding how different
associative processes interact with each other. For example, protein
aggregation and protein self-assembly compete with protein
crystallization; this is a notorious problem when trying to produce
protein crystals. Another interesting case is provided by the
enhancement of protein crystal nucleation in the proximity of the
phase boundaries of the liquid-liquid phase transition. All these
associative mechanisms depend on several factors such as protein
primary structure, protein concentration, temperature, protein net
charge, and presence of additives (e.g. salts, polymers and
surfactants). It is not well understood how these variables favor
one transformation relative to another. One of my goals is to
identify strategies that optimize protein crystallization with
respect to other competing associative processes.

Figure 1. Crystallization (A) and
liquid-liquid phase separation (B) of protein aqueous solutions.
Dendrimers. Dendrimers are a class of
globular branched macromolecules (see Fig. 2), which may be used as
uni-molecular micelles, drug delivery systems, protein mimics and
building blocks for the formation of larger supra-molecular and
super-molecular structures. At the present time, a large variety of
dendrimers and sophisticated chemical modifications are known.
However, the knowledge of their chemical preparation is not balanced
by an equivalent understanding of the thermodynamic and kinetic
properties of dendrimer systems. This understanding is important for
the applications listed above.

Figure 2. Globular branched
structure of a dendrimer (A) compared to the structure of a linear
polymer (B).
I am interested in studying the thermodynamic,
diffusion and phase transition properties of dendrimer solutions.
Since dendrimers of different size exist and a large variety of
functional groups can be easily attached on the dendrimer surface,
dendrimer solutions can be systematically studied as a function of
the dendrimer size and surface properties. These studies are not
only relevant for the dendrimer systems themselves, but they can
also be used to understand general properties of macromolecular
systems. One of my goals is to study and control phase transitions
that take place because macromolecules of different size are mixed
together. This phenomenon is known as “macromolecular crowding”.
Drug Delivery. Drug delivery systems
have the function to protect labile drugs and to transport them to
targets remote from their administration sites. They also need to
release the active agents in a predictable and controllable fashion.
Thus, the development of drug delivery technologies greatly depends
on biophysical, biochemical and physiological characteristics of the
drug loaded devices. Drug delivery systems such as nano/microspheres
are made of polysaccharides, proteins, or polymers. One aspect I
intend to explore is the development of novel methods for the
preparation of delivery systems. Several of the present devices for
the delivery of drugs are made by elaborate preparations, usually
involving phase separation methods. These techniques often employ
organic solvents or high temperatures. These procedures have the
potential to destroy the activity of labile drugs, such as proteins
or polypeptides. Furthermore, residual amounts of solvents in the
devices may pose significant health risks. I am interested in
exploring new procedures for the preparation of drug delivery
systems, which are based on phase transitions and self-assembly, and
aim to avoid or at least minimize the use of elevated temperatures
or toxic solvents.
Diffusion in Multicomponent Systems.
Measurements of diffusion coefficients are typically used
to predict and model the kinetics of several in vivo, laboratory,
medical, pharmaceutical and manufacturing applications. Diffusion in
multicomponent mixtures is usually approximated by defining one
single diffusion coefficient for each solute, where the diffusion
coefficient relates the concentration gradient of the solute to its
flux (Fick’s law). This is however only an incomplete description.
In fact, if a solution contains more than two components, the fluxes
of the components are also coupled with each other. For
instance, in the case of a ternary solution (two solutes and one
solvent) a matrix of four diffusion coefficients is required: two
main diffusion coefficients which describe the flux of the two
solutes due to their own concentration gradients and two cross
diffusion coefficients which describe the flux of each solute due to
the gradient of the other solute. The determination of the diffusion
coefficient matrix requires the use of a highly precise technique
such as optical interferometry. Fig. 3 shows the interferometric
pattern created by the diffusion mixing of two aqueous solutions
with different solute concentrations.
Here at TCU we have developed a novel method that uses
the diffusion coefficient matrix to determine the effect of an
additive on the chemical potential of a macromolecule with high
precision. This in turn provides information on the effective charge
of the macromolecule, salting-out properties of the additive and
macromolecular crowding. I intend to use this method in relation to
both protein and dendrimer solutions.

Figure 3. Rayleigh interference
fringes created by the diffusion mixing of two aqueous solutions.
I am also interested in using the concept of coupled
diffusion to design novel pharmacokinetic profiles of drug release.
In several systems the release of the drug occurs by diffusion of
the drug through a microporous media. In these cases the flux of the
drug at the surface of the delivery media and its time dependence
are the factors to be controlled. Kinetic models for
diffusion-mediated release of drug from delivery devices are derived
from Fick's diffusion laws. An optimal drug release behavior
requires a controllable release rate in many cases. The introduction
of another diffusible component in the drug delivery device can act
on the flux of the drug by coupled diffusion and thus regulate drug
release profiles.
Selected Publications
O. Annunziata, O. Ogun and G. B.
Benedek, “Observation of liquid-liquid phase separation for eye-lens
gS-crystallin”, Proc. Natl. Acad. Sci. USA
100, 970-974 (2003).
O. Annunziata and J. G. Albright,
“Mathematical model for diffusion of a protein and a precipitant
about a growing protein crystal in microgravity”, Ann. NY Acad.
Sci. 974, 610-616 (2002).
O. Annunziata, N. Asherie, A.
Lomakin, J. Pande, O. Ogun and G. B. Benedek, “Effect of
polyethylene glycol on the liquid-liquid phase transition in aqueous
protein solutions”, Proc. Natl. Acad. Sci. USA
99, 14165-14170 (2002).
O. Annunziata, L. Paduano, A. J.
Pearlstein, D. G. Miller and J. G. Albright, “Extraction of
thermodynamic data from ternary diffusion coefficients.”, J. Am.
Chem. Soc. 122, 5916-5928 (2000).
J. G. Albright, O. Annunziata, D. G.
Miller, L. Paduano and A. J. Pearlstein, “Precision measurements of
binary and multicomponent diffusion coefficients in protein
solutions relevant to crystal growth”, J. Am. Chem. Soc.
121, 3256-3266 (1999).
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