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There are essentially two theories of solutions that can be
considered exact: the McMillan-Mayer theory and Fluctuation
Solution Theory (FST). The first is mostly limited to solutes at
low concentrations, while FST has no such issue. It is an exact
theory that can be applied to any stable solution regardless of the
number of components and their concentrations, and the types of
molecules and their sizes. Fluctuation Theory of Solutions:
Applications in Chemistry, Chemical Engineering, and Biophysics
outlines the general concepts and theoretical basis of FST and
provides a range of applications described by experts in chemistry,
chemical engineering, and biophysics. The book, which begins with a
historical perspective and an introductory chapter, includes a
basic derivation for more casual readers. It is then devoted to
providing new and very recent applications of FST. The first
application chapters focus on simple model, binary, and ternary
systems, using FST to explain their thermodynamic properties and
the concept of preferential solvation. Later chapters illustrate
the use of FST to develop more accurate potential functions for
simulation, describe new approaches to elucidate
microheterogeneities in solutions, and present an overview of
solvation in new and model systems, including those under critical
conditions. Expert contributors also discuss the use of FST to
model solute solubility in a variety of systems. The final chapters
present a series of biological applications that illustrate the use
of FST to study cosolvent effects on proteins and their
implications for protein folding. With the application of FST to
study biological systems now well established, and given the
continuing developments in computer hardware and software
increasing the range of potential applications, FST provides a
rigorous and useful approach for understanding a wide array of
solution properties. This book outlines those approaches, and their
advantages, ac
There are essentially two theories of solutions that can be
considered exact: the McMillan-Mayer theory and Fluctuation
Solution Theory (FST). The first is mostly limited to solutes at
low concentrations, while FST has no such issue. It is an exact
theory that can be applied to any stable solution regardless of the
number of components and their concentrations, and the types of
molecules and their sizes. Fluctuation Theory of Solutions:
Applications in Chemistry, Chemical Engineering, and Biophysics
outlines the general concepts and theoretical basis of FST and
provides a range of applications described by experts in chemistry,
chemical engineering, and biophysics. The book, which begins with a
historical perspective and an introductory chapter, includes a
basic derivation for more casual readers. It is then devoted to
providing new and very recent applications of FST. The first
application chapters focus on simple model, binary, and ternary
systems, using FST to explain their thermodynamic properties and
the concept of preferential solvation. Later chapters illustrate
the use of FST to develop more accurate potential functions for
simulation, describe new approaches to elucidate
microheterogeneities in solutions, and present an overview of
solvation in new and model systems, including those under critical
conditions. Expert contributors also discuss the use of FST to
model solute solubility in a variety of systems. The final chapters
present a series of biological applications that illustrate the use
of FST to study cosolvent effects on proteins and their
implications for protein folding. With the application of FST to
study biological systems now well established, and given the
continuing developments in computer hardware and software
increasing the range of potential applications, FST provides a
rigorous and useful approach for understanding a wide array of
solution properties. This book outlines those approaches, and their
advantages, ac
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