How Water Dissolves Stone, Molecule by Molecule
Dec. 5, 2013 — Scientists
from Rice University and the University of Bremen's Center for Marine
Environmental Sciences (MARUM) in Germany have combined cutting-edge
experimental techniques and computer simulations to find a new way of
predicting how water dissolves crystalline structures like those found
in natural stone and cement.
The
dissolution process of a crystalline structure in water is shown: two
bonded SiO4 -- molecules dissolve (top left), a quartz crystal (top
right) and the computer-simulated surface of a dissolving crystalline
structure (below). (Credit: MARUM & Rice University)
In a new study featured on the cover of the Nov. 28 issue of the Journal of Physical Chemistry C,
the team found their method was more efficient at predicting the
dissolution rates of crystalline structures in water than previous
methods. The research could have wide-ranging impacts in diverse areas,
including water quality and planning, environmental sustainability,
corrosion resistance and cement construction.
"We need to gain a better understanding of dissolution mechanisms to
better predict the fate of certain materials, both in nature and in
man-made systems," said lead investigator Andreas Lüttge, a professor of
mineralogy at MARUM and professor emeritus and research professor in
Earth science at Rice. His team specializes in studying the thin
boundary layer that forms between minerals and fluids.
Boundary layers are ubiquitous in nature; they occur when raindrops
fall on stone, water seeps through soil and the ocean meets the sea
floor. Scientists and engineers have long been interested in accurately
explaining how crystalline materials, including many minerals and
stones, interact with and are dissolved by water. Calculations about the
rate of these dissolution processes are critical in many fields of
science and engineering.
In the new study, Lüttge and lead author Inna Kurganskaya, a research
associate in Earth science at Rice, studied dissolution processes using
quartz, one of the most common minerals found in nature. Quartz, or
silicon dioxide, is a type of silicate, the most abundant group of
minerals in Earth's crust.
At the boundary layer where quartz and water meet, multiple chemical
reactions occur. Some of these happen simultaneously and others take
place in succession. In the new study, the researchers sought to create a
computerized model that could accurately simulate the complex chemistry
at the boundary layer.
"The new model simulates the dissolution kinetics at the boundary
layer with greater precision than earlier stochastic models operating at
the same scale," Kurganskaya said. "Existing simulations rely on rate
constants assigned to a wide range of possible reactions, and as a
result, the total material flux from the surface have an inherent
variance range -- a plus or minus factor that is always there."
One reason the team's simulations more accurately represent real
processes is that its models incorporate actual measurements from
cutting-edge instruments and from high-tech materials, including glass
ceramics and nanomaterials. With a special imaging technique called
"vertical scanning interferometry," which the group at MARUM and Rice
helped to develop, the team scanned the crystal surfaces of both
minerals and manufactured materials to generate topographic maps with a
resolution of a just a few nanometers, or billionths of a meter.
"We found that dissolution rates that were predicted using rate
constants were sometimes off by as much as two orders of magnitude,"
Lüttge said.
The new method for more precisely predicting dissolution processes
could revolutionize the way engineers and scientists make many
calculations related to a myriad of things, including the stability of
building materials, the longevity of materials used for radioactive
waste storage and more, he said.
"Further work is needed to prove the broad utility of the method," he
said. "In the next phase of research, we plan to test our simulations
on larger systems and over longer periods."
The research was supported by the Global Climate and Energy Project at Stanford University.
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