A nanoscale galvani experiment provides a new way to obtain images
of biological tissue. Applying state-of-the-art technology to a
seldom-exploited electromechanical property in biomolecules, Sergei
Kalinin of Oak Ridge National Laboratory (sv9@ornl.gov) and his
colleagues have demonstrated a nanometer-scale version of Galvani's
experiment, in which 18th-century Italian physician Luigi Galvani
caused a frog's muscle to contract when he touched it with an
electrically charged metal scalpel. Described at this week's
AVS
Science & Technology meeting in Boston, the new, 21st-century
demonstration promises to yield a host of previously unknown
information in a variety of biological structures including
cartilage, teeth, and even butterfly wings.
Employing a technique named Piezoresponse Force Microscopy (PFM),
Kalinin and colleagues sent an electrical voltage through a tiny,
nanometer-sized tip to induce mechanical motion along various points
in a biological sample, such as a single fibril of the protein
collagen. The electromechanical response at various points of the
sample, as measured by the probe tip, enabled the researchers to
build up images of the collagen fibrils, with details less than 10
nanometers in size. This resolution surpasses the level of detail
that can be gleaned on those biostructures by ordinary
scanning-probe and electron microscopes (get a lengthier description
here).
The PFM technique exploits the well-known but infrequently used fact
that many biomolecules, especially those that are made of groups of
proteins, are piezoelectric, or undergo mechanical deformations in
the presence of an external electric field. The researchers have
used the PFM technique to produce images of cartilage as well as
enamel and dentin (found inside teeth). Besides providing images of
biostructures on a nanometer scale, the new technique yields
information about the electromechanical properties and molecular
orientation of biological tissue. In recent work, the researchers
even found unexpected piezoelectric properties in butterfly wings
which enabled them to yield molecular-level images of wing
structures.
Kalinin, et al., meeting paper
NS-WeM3 and
lay language paper