CAMBRIDGE,
Mass.--In work that could radically change how engineers
search for new materials, MIT researchers have developed
a way to test the mechanical properties of almost
600 different materials in a matter of days - a task
that would have taken weeks using conventional techniques.
The new process could lead to the faster identification
of dental implants that don't crack, tank armor that's
more resistant to missiles, and other materials dependent
on mechanical properties like stiffness and toughness.
The trick? The team, led by Assistant Professor
Krystyn J. Van Vliet of the Department of Materials
Science and Engineering, miniaturized the process.
Van Vliet, MSE graduate student Catherine A. Tweedie,
research associate Daniel G. Anderson of the Department
of Chemical Engineering and Institute Professor Robert
Langer describe the work in the cover story of the
November issue of Advanced Materials.
In 2004 Anderson, Langer and a colleague reported
using robotic technology to deposit more than 1,700
spots of biomaterial (roughly 500 different materials
in triplicate) on a glass slide measuring only 25
millimeters wide by 75 millimeters long. Twenty such
slides, or microarrays, could be made in a single
day.
The arrays were then used to determine which materials
were most conducive to the growth and differentiation
of human embryonic stem cells. (See web.mit.edu/newsoffice/2004/celltest.html.)
Enter Van Vliet, whose lab studies how the mechanical
properties of a surface affect cells growing on that
surface. Curious as to whether the Langer team had
probed the mechanical properties of the biomaterials,
she contacted Langer, who introduced her to Anderson.
And what began as an isolated question turned into
a collaboration with wider implications.
Together the researchers showed that the mechanical
properties of each biomaterial could indeed be determined
- and quickly - by combining the arrays with nanoindentation,
a technique key to Van Vliet's work.
In nanoindentation a hard, small probe is pressed
into a more compliant material, to depths many times
smaller than the diameter of a human hair. By measuring
the force applied and how deeply the probe penetrates
the material, scientists can learn a great deal about
the material's mechanical properties.
"The spots of material Dan was making had diameters
about three times that of a human hair, a scale perfect
for nanoindenation," Van Vliet said. So the team
created new arrays of roughly 600 unique polymers. "Each
dot was a combination of two different monomers,
or building blocks, so we could map out the effects
of the percentage of each monomer on the properties
of the material," Van Vliet said. And in 24 hours
Tweedie, using the nanoindenter, had that data in
hand.
It
would have taken many weeks to analyze that many
materials using traditional techniques, which involve "the
serial process of bulk-material synthesis, batch-sample
preparation, and individual-sample testing," the
team writes in Advanced Materials. Further, Anderson
explained, many materials have been discovered when
a scientist thinks about what the perfect properties
of a material should be, and then invents it. "But
that can take lots of time," he said.
Enter
combinatorial libraries. "Instead of trying
to engineer perfect materials, let's make thousands
at the smallest scale we can, and see if we can find
some materials with unexpected or interesting properties," Anderson
said.
Tweedie
notes that even in this first "proof of
principle" experiment there were some surprises.
For example, she said, "the stiffness of certain
polymers depended more on the combination of monomers
used (how much of A and B) rather than the structure
of each monomer, with certain combinations resulting
in very compliant polymers. These were very large,
unanticipated changes in mechanical properties that
could then be optimized further in a subset of combinations."
Describing
the collaboration that brought about these results,
Van Vliet concluded: "It's really
made both [of our groups] think in different ways
about what we're doing."
This work was funded by the National Institutes
of Health, the U.S. Army Research Office through
MIT's Institute for Soldier Nanotechnologies, and
the National Defense Science and Engineering Graduate
Fellowship program.
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