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INTRODUCTION
1.1 General Introduction
Saccharides and their derivatives are essential components of living systems. These are
important due to their hydroxyl (−OH) rich periphery, coordinating ability, homochirality and
stereospecificity. Saccharides interact with the aqueous environment through numerous
hydroxyl groups and build hydrogen bonds1-4
. Depending upon their molecular weight,
saccharides can be divided into three subgroups, such as mono-, oligo- and high molecular
weight poly-(cellulose, chitin, chitosan, starch, amylose, amylopectin, agarose, and xylan)
saccharides. As integral parts of some coenzymes, nucleic acids (DNA and RNA),
glycoproteins and glycolipids, they perform multiple roles from the storage and transport of
energy to participation in the immune system, fertilization, development, pathogenesis,
signaling, cell-cell recognition, and molecular and cellular communication. Saccharides
located at cell surface are receptors with regard to the bioactive structures of hormones,
enzymes, viruses, antibodies, etc5-12
.
To get a better understanding of biological phenomena, low molecular weight model
compounds such as alcohols, saccharides, peptides, nucleic acid bases, nucleosides and
nucleotides have been studied because of the complexities of biomolecules13
. The hydration
characteristics of saccharides in aqueous solutions are of direct relevance for understanding
the role of glycoproteins and glycolipids in molecular recognition. Therefore, an increasing
interest in biophysical and biochemical research is presently being directed toward the novel
subdiscipline “glycobiology”14-17
.
Saccharides and polyhydroxy compounds are well known protein / enzyme’s
stabilizing agents. In an aqueous environment, co-solutes such as disaccharides cause an
increase in the thermal denaturation temperature of proteins18
. Lee & Timasheff19
studied the
thermal transitions of α-chymotrypsin, chymotrypinogen and ribonuclease in sucrose and
argued that the sucrose stabilize proteins against thermal damage. However, the mechanism
by which stabilization is imparted still belongs to a realm of speculation20-23
.
There has been a growing interest for disaccharides especially concerning their
hydration, glass transition and biopreservation properties and much less work was devoted to
their crystallization in aqueous medium24-26
. Trehalose is well-known for its ability to
2
preserve life in cells, organisms, and biomolecules under conditions of extreme drought or
low temperatures20
. There are evidences that high concentrations of trehalose in the tissues of
certain insects, yeasts, lactobacillus, mushrooms, and desert plants allow them to survive for
decades or centuries, in a state of suspended animation under conditions of water deficiency,
resuming rapidly their active metabolism when rehydrated. Disaccharides such as maltose
and sucrose have shown similar properties but trehalose is found to be more effective.
Several mechanisms for the antidesiccant properties of saccharides have been proposed, but
their protective mechanisms are not well understood27-29
.
Saccharides are often used in pharmaceutical, food, and biomedical applications to
prepare a glassy matrix for long term storage of biological materials. Rheological properties
of saccharide solutions are applied for the control of gelling processes and osmoregulation of
tissues and organs in cryoprotection30-33
. Maltose consisting of two glucose units linked by a
glycosidic bond is widely used in the food industry. The micro- and macro-scopic studies of
sweetner-H2O interactions are useful to understand sweet taste chemoreception. Mechanism
of taste chemoreception is thought to depend upon the role of water, molar volume and
stereochemistry of the molecule, which affect their fit within the water structure34
. Various
solution properties (apparent specific volume and apparent molar isentropic compressibility)
of different sapid substances have been studied35-37
, but the mechanism of taste
chemoreception is still not fully understood.
The hydration characteristics of saccharides and their interactions with electrolytes
and non-electrolytes in aqueous media are of significant thermodynamic and biochemical
importance6,38-41
. Most biological systems contain ionic solutes (Na+, K
+, Ca
2+) which play a
vital role in various metabolic activities. It has been reported that synthesis, metabolism,
decomposition and trans-membrane transport of saccharides is related to the concentration of
Na+, H
+ and other metal ions in body fluid
42. The Mg-sugar complex has a stabilizing effect
on the DNA double-helix, sugar-metal complexes participate in the ATP cell energy cycle.
Due to the fact that saccharides readily undergo isomerization and conformational changes,
their complexation with metal ions result in the formation of a mixture of products, although
interactions involved are weak, but selective43-44
.
The presence of salts modifies important properties of aqueous saccharide solutions
related to their protective roles such as viscosity, water sorption, crystallization rate and glass
3
transition temperature, Tg. The addition of disodium tetraborate (borax) to aqueous solutions
of saccharides and other polyols results in various complexes between the borate ion and the
saccharides45-47
. Aqueous solutions of sodium acetate are widely used in molecular biology
applications, purification and precipitation of nucleic acids, protein crystallization, staining of
gels in protein gel electrophoresis, and HPLC48-49
. Sodium gluconate occurs naturally in
plants and foodstuffs, is non-toxic, the gluconic acids salts are utilized in mineral
supplementation where the acid acts as a carrier of metal ions of therapeutic importance50
.
Physicochemical studies of saccharides in mixed aqueous solutions are of great
importance to understand the solvation behaviour of saccharides as a function of
concentration and temperature and how the solute-solvent interactions get modified in the
presence of co-solutes (additives)33,40
. Therefore, thermodynamic and transport properties of
solutions characterizing the solvation behavior of saccharides are needed which will be useful
for better understanding the various phenomena like protein stabilities, taste chemoreception,
antidesiccation properties, etc.
Saccharides have a very high affinity for water and their hydrogen bonding
interactions with aqueous solvents occurs through their hydroxyl groups. The hydrogen
bonding between saccharide and water is more extensive than that between water molecules
themselves and these interactions (hydrogen bonding) are stereo specific in nature.
Saccharides influence the surrounding water molecules and that in return, affects the structure
of the dissolved saccharide molecules51-52
. The nature of these interactions is responsible for
most biological functions of saccharides such as energy transport and storage, sweet taste
chemoreception, signal transmission, biomolecular recognition, protein stabilization, gel
phase formation, etc20,34-35,53
. So, for understating the role of water in characterizing the
hydration behaviour of saccharide in mixed aqueous solutions, a brief description about the
structure of water is needed, which is described in the next section.
1.2 Structure of Water
Water, due to its ubiquitous presence on the Earth and in living organisms, is the key
compound for our existence on this planet and it is involved in nearly all chemical, biological
and geological processes54-55
. In most cases, water contains dissolved salts and it is in such
aqueous solutions that the chemistry of life takes place. Despite the apparent simplicity of the
4
water molecule, the condensed phases of water, such as liquid water and ice, are the most
mysterious substances in our world56-58
.
Being the solvent of life, water has attracted the most scientific attention among
liquids, in the past several decades. In addition, water also plays an important role as a
mediator in interactions in proteins, which stabilize their structure59-60
. The most important
property of liquid water is its unique ability to form a network of self-associated molecules
through hydrogen bonding and that causes the anomalousness in physical properties of liquid
water61-62
. In the past years, a large number of studies have been carried out in order to
understand the structure of water and dynamics of the hydrogen bonding network in water
that give rise to different unique properties63-65
.
Bernal and Fowler66
and later Morgan and Warren67
, carried out the X-ray diffraction
measurements on liquid water and revealed that the water is tetrahedrally coordinated through
hydrogen bonds, similar to that in ice I (Fig. 1.1). Tammann68
suggested that there should be
as many different 'kinds' of water as there are different phases of ice. The complexity of
liquid water has given a great variety of proposed water models which are classified as; (a).
Continuum model, (b). Mixture models.
1.2.1 Continuum Model
It assumes almost completely hydrogen bonded water molecules in a continuous
network, where the distortion of hydrogen bonds results in a continuous distribution of
hydrogen bond distances, energies and angles. First structural theory work was done by Bernal
and Fowler66
, and later Pople69
established the modern continuum theory of water and this
theory accounts for the heat capacity and thermal energy of water. The thermodynamic
properties of liquid water will, of course, depend on the energetics of the bending and
stretching of the hydrogen bonds; it will also depend on the intra- and inter-molecular vibration
frequencies, which will be considerably altered by the deformations of the hydrogen bonds.
Recently, Random Network Model (RNM), which is a highly successful continuum
model, has been proposed by Rice and Sceats70
and further developed by Henn and
Kauzmann71
. It does not involve changes in the number of hydrogen bonds. RNM model is a
good model for determining the heat capacity contribution due to water-water interactions
and also this model gives a good insight into the reorganization of water around the non-polar
and polar solutes. This model also provides a simple mechanism for energy absorption,
variations of dielectric properties and X-ray radial distribution function with temperature as a
5
variable. However, in view of the restrictions placed on molecular motions, this model fails on
logic to explain the trend in entropy data and the hydration properties of non-polar molecules.
Fig. 1.1 Schematic representation of crystal structure of ice I at low pressure
1.2.2 Mixture Models
These models72-78
visualize liquid water as a collection of different hydrogen bonded
species in which each water molecule can fluctuate through states where one or both of its H
atoms are engaged in hydrogen bonding. Depending on the type of species involved, the
mixture models have been classified as; (i) Interstitial Model proposed by Samoilov79
and
Forslind80
(ii) Water Hydrate Model81
proposed by Pauling (iii) Flickering Cluster Model
proposed by Frank and Wen72
, and Frank82
. The most popular and commonly used model,
especially in the field of solution chemistry is the ‘Flickering Cluster’ Model.
Flickering Cluster Model
According to Frank and Wen72
, and Frank82
water is a mixture of clusters of hydrogen
bonded water molecules with voids therein (bulk water) and free unbonded monomers (dense
water) in equilibrium with each other (Fig. 1.2). The formation of hydrogen bonds and the
disruption of hydrogen bonds in such a polymeric complex is considered as cooperative
phenomenon. The physical basis of this cooperativity is that hydrogen bond formation
involving one bonding site of a water molecule contributes delocalization energy to the
molecule, which favours additional bonding at other potential hydrogen bonding sites.
According to this model, the presence of flickering clusters of water molecules (Fig. 1.2) of
short half-life time (10−11
to 10−10
s) reflects local energy fluctuations. The occurrence of
some type of dynamic monomer-polymer equilibrium in water allows an acceptable
explanation of the free energy of activation of transport processes in water, whether
6
calculated from self-diffusion, viscous flow, dielectric relaxation, or ultrasonic absorption
data.
Fig. 1.2 Frank-Wen Flickering Cluster Model of Liquid Water
Nemethy and Scheraga73
used a statistical thermodynamic treatment to calculate the
Helmholtz free energy, internal energy and entropy as a function of temperature of liquid
water, assuming that each of the hydrogen bonded molecules could be associated to a discrete
energy level in the flickering clusters. Hagler et al.83
and Lentz et al.84
have modified this
model to remove some major inconsistencies prevalent in it as pointed out by Nemethy85
.
Walrafen74
and Hartman86
provide the strongest support for the mixture model from the
Raman Spectroscopic studies of HOD. These studies reveal a pronounced shoulder in the
high frequency side along with the intense low frequency band. Further these studies show
that as the water is heated, the intensity of the high frequency component increases compared
to that of low frequency component.
The high frequency component was associated to the monomeric species and the main
band of the low frequency to the hydrogen bonded species. It was further argued that the
increasing intensity of the high frequency component with increase in temperature reflects the
conversion of hydrogen-bonded molecules to the non-hydrogen bonded molecules (Fig. 1.3).
The mixture model thus appears to be consistent with the vibrational spectroscopic data.
Recently Robinson and Cho87
have also reported that on average, water is composed
of dynamically transforming microdomains of two very different bonding types i.e. regular
tetrahedral water-water bonding similar to that of ordinary ice i.e. Ih and other is a more dense
non-regular tetrahedral bonding similar to that in ice II. Although many water models are
7
successful in predicting selected liquid water and ice polymorph properties, there is still a need
to construct a model of general applicability88-89
.
Fig. 1.3 (a) Argon-lon-Laser-Raman spectrum from a 6.2 M solution of D2O in H2O at 25ºC.
(b) Quantitative mercury-excited Raman spectra from a 6.2 M solution of D2O
in H2O at a series of temperature.
1.2.3 Computer Simulations
Different experimental techniques such as neutron scattering, X-ray scattering, infrared
absorption, and NMR have been used to probe the microscopic structure of water90-94
. The
information gathered from these experiments and from theoretical calculations95-96
has led to
the development of around twenty "models" that attempt to explain the structure and behavior
of water. With the advent of the supercomputers, computer simulation methods based on
statistical thermodynamic and molecular dynamic theories of mixtures, to understand the
structure of liquid water have become accessible97-98
.
Most commonly used computer simulation methods are: (1) Monte Carlo (MC)99
, (2)
Stochastic Dynamics100
(3) Molecular Dynamics (MD)101
(4) Normal mode analysis102
(5)
Energy minimization103
. Among these, Monte Carlo and Molecular Dynamics provide the
most promising approaches for structural characterization of liquid water101
. The former
8
method offers the possibility of generating canonical ensembles of given temperature, but it is
entirely restricted to a study of static structural properties. MD, which is nominally
microcanonical, can probe both static and kinetic behavior, so in this method, the temporal
evolutions of the translational and rotational trajectories of the individual molecules are
followed under the joint influence of the forces and torques exerted on it by all other
molecules. These trajectories, then yield the time autocorrelation function and hence various
kinetic properties of the liquid water91
.
Results of both MC and MD methods indicate that there exists a marked tendency of
liquid water toward hydrogen bond order, but with much less predictable geometry.
However, the study of ice by crystallography alone would have suggested this. The potential
used in the MC or MD calculations are all pair wise additives i.e., the energy of a given
assembly is expressed as a sum of the interaction energies between all pairs of molecules in
the assembly. It has been stressed that none of these pair potentials can account for both gas
and condensed phase properties of water103
. It is evident from quantum mechanical
calculations on water trimers, tetramers and pentamers that hydrogen bonding in these
clusters is stronger than in dimer, which suggests the cooperative nature of hydrogen bonding
interactions104
.
Alder and Wainwright105
were the first researchers to perform the MD simulation,
followed by Barker and Watts106
and later by Rahman and Stillincer107
and they published the
first computer simulations of liquid water. Rahman and Stillincer107
using MD technique
examined both static structural properties and the kinetic behavior at nominal temperature,
34.3 ºC. They concluded that the model employed in the research work can be adapted to
simulation of a simple solute.
Sokol et al.57
carried out the MD simulation of water in solid, liquid and gaseous
state. They performed simulations for two density cases, normal ( = 1g.cm
−3) and lower
density ( = 0.251 g.cm
−3), for four different temperatures. The calculated structural and
dynamical properties were also compared to earlier experimental and simulated results.
Krishnan et al.108
carried out the computer simulation based on sophisticated and
empirical model of interaction developed by Rick et al. 109
. Krishnan and coworkers108
have
obtained the minimum energy structures of water clusters up to a size of ten and reported that
the cluster structures agree well with experimental data. They were able to identify the
hydrogens that form hydrogen bonds based on their charges alone, a feature that was not
9
possible in simulations using fixed charge models. They also used fluctuating charge model
in order to study the structure of liquid water at ambient conditions.
Beveridge et al. 110
used metropolis MC method to study the hydrophobic interaction
of alkyl and phenyl groups in water and solvent effects on the conformational stability of the
alanine dipeptide and the dimethyl phosphate anion in water.
Jorgensen95
has developed transferable intermolecular potential functions (TIPS)
suitable for use in liquid simulations for water. This potential has been used by Jorgensen and
Madura111
in MC simulation on liquid water to study the effect of temperature on
vaporization, hydrogen bonding, density, isothermal compressibility and radial distribution
functions. Recently, Mahoney and Jorgensen112
by applying classical MC statistical
mechanical simulations optimized a five-site, fixed charge model of liquid water with
emphasis on improving the computed density as a function of temperature and the position of
the temperature of maximum density. The obtained results further support a two state mixture
models for the liquids.
Wang et al.113
have performed DFT (density functional theory)-based AIMD (ab
initio molecular dynamics) simulations of liquid water with different GGA (generalized
gradient approximation) and vdW (van der Waals density) functionals and different densities,
comparing the structural and diffusive properties. It was concluded that a better treatment of
the exchange interaction together with vdW correlations might provide a better agreement
with experimental results in terms of structure, density, and diffusivity of liquid water.
Recently, Kalinichev and Bass114
performed MC computer simulations under
thermodynamic conditions corresponding to available X-ray and neutron diffraction
measurements of the supercritical water structure and found a good agreement between their
results with other recent experimental and simulated data under similar thermodynamic
conditions.
From theoretical and simulation methods115-116
, various other workers also have
reported that linear molar volume of relevant inherent structures contributing to the liquid
phase increases with the decrease in temperature. Owicki and Scheraga117
observed a broad,
smooth distribution of hydrogen-bond energy for liquid water, rather than relatively discrete
sets of the bonded and unbonded interaction energies.
Grunwald118
developed a model for the structure of the liquid water network using the
concept of the two state models. The model is consistent with free energy and its temperature
10
derivatives, the dielectric constant, the probable number of hydrogen bonded nearest
neighbors, intermolecular vibration frequencies and dielectric relaxation dynamics.
Dore119
have emphasized that the simulation methods will need to be used in
conjunction with experimental data for more understanding of water and its anomalies.
Inspite of enormous experimental and theoretical studies to explore water structure, a
compact and useful description is yet to be achieved.
1.3 Structure of Aqueous Solutions
According to ‘Flickering Cluster’ model72
, water molecules can be considered to be in
dynamic equilibrium between the bulky tetrahedrally hydrogen bonded clusters and monomer
molecules, as represented by: (H2O)n n(H2O), where (H2O)n and n(H2O) represent 'bulky'
and 'dense' states, respectively. The statistical degree of ice-likeness (or whatever its structure
in water) is considered to be proportional to the half-life (10−11
s) of the clusters, which may
shift the equilibrium in either direction. The solute which causes a shift so as to increase the
average half-life of the cluster is termed as a ‘structure maker’ and a solute, which has an
effect in the opposite direction, is called a ‘structure breaker’70
.
The concept of ‘structure-making’ and ‘structure-breaking’ by solutes has been
proved to be useful in understanding the effects of solutes on the water structure63,120
. These
effects can be reflected experimentally by observing the changes brought about by the solutes
in the kinetic properties of water such as fluidity, reorientation time, viscosity, conductance,
etc. For instance, structure makers are shown to decrease the fluidity of water by causing an
increase in reorientation time and increase in viscosity and result in positive excess partial
molar heat capacities in water. The reverse is true for structure breakers.
Hydration of different kinds of solutes, depending upon their nature is classified as: (i)
Ionic and polar group hydration; (ii) Hydrophobic hydration ; (iii) Hydrophobic interactions.
1.3.1 Ionic and Polar Group Hydration
Ionic hydration is one of the fundamental physicochemical processes related with
many research fields in chemistry including stability of biomolecules and chemical reactions.
For example, the crystal lattice of salts like NaCl is held together by very strong electrostatic
attractions between ions. However, water readily dissolves crystalline NaCl because of very
strong electrostatic attractions between Na+/or Cl
− ions and water dipoles. This leads to very
stable hydrated Na+
and Cl−
ions, ion-solvent interactions greatly exceed the tendency of Na+
and Cl− ions to attract each other. When an ion is introduced into water, it interferes with the
11
local ordering of the water molecules in its neighbourhood and tends to impose a new order
on them. Ions of simple electrolytes such as LiF and MgCl2 having high charge density act as
net structure makers and the ions of electrolytes like CsI and KBr with low charge density
behave as net structure breakers. In order to explain these phenomena, Frank and Wen72
visualized a picture (Fig. 1.4) in which an ion is surrounded by three concentric regions of
water molecules as described below:
(i) An innermost structure-formed region 'A' consisting of polarized, immobilized and
electrostricted water molecules.
(ii) An intermediate structure-broken region 'B' in which water is less ice-like i.e. more
randomly ordered than the normal water;
(iii) An outer region 'C' in which water molecules have the normal liquid structure, which is
polarized in the usual way as the ionic field at this range will be relatively weak.
Fig. 1.4 Frank-Wen multizone model of ion-hydration in aqueous solutions
In the electrostrictive region, ionic charge on the ion completely orients the
surrounding water molecules, which become immobilized and firmly packed around the ion
in comparison to bulk water and this phenomenon is called as positive hydration. The water
in the second and third solvation layers is less immobilized and orientation of water
molecules is diminished but it is enough to interfere with the formation of normal bulk water.
The decreased structure in region 'B' is presumably due to approximate balance of the two
competing forces, namely, the normal structure-orienting influence of the neighbouring water
molecules and the radially-orienting influence of the electric field of the ion which acts
simultaneously on any water molecule in this region. The latter ionic influence predominates
12
in region ‘A’ and the former in region ‘C’ and between ‘A’ and ‘C’, according to Frank and
Wen72
, there is a region of finite width in which more orientational disorder should exist than
in either ‘A’ or ‘C’. Thus, water in this region has less structure (or there are fewer hydrogen
bonds) and ion can be classified as structure-breaking or negative hydration ion.
The relative size of these three regions depends on the charge, size and composition
of the ion. In general, the ions with low charge density have relatively weak electrostatic
fields which makes the region ‘A’ very small thereby causing the net decrease in the
structure. On the other hand, ions of high charge density increase the region ‘A’ and might
induce additional structure (entropy loss) of some sort beyond the first water layer, thereby
causing a net structure-making effect.
Friedman and Krishnan121
have proposed a model for aqueous ionic solutions
primarily based on the ideas of Frank and Evans122
. Gurney123
and Samoilov79
with the
assumption that around each solute particle xz (z = charge on the ion) there is a region termed
as cosphere, having the thickness of one solvent molecule in which solvent properties are
affected by the presence of the solute. These effects are characterized by the thermodynamics
of the process: n [Solvent(pure bulk liquid)] → n[Solvent (in cosphere state next to xz)]
where, n is the number of solvent molecules in the cospheres. Friedman and Krishnan121
model emphasizes on the contribution of the various cosphere states to the thermodynamic
properties of solutions, while Frank and Wen model72
, and more recently Stillincer and Ben-
Naim model124
of ionic solutions being rather qualitative, are supported by the experimental
studies125
of kinetic properties, X-ray and neutron scattering. Friedman and Krishnan121
have
compiled the various thermodynamic properties and have given reasonable explanation of
these properties based on their cosphere model.
Polyfunctional solutes e.g. saccharides exhibit very complex behaviour in aqueous
solutions which is difficult3,126-127
to rationalize as both hydrophilic and hydrophobic types of
hydration are contributing.
1.3.2 Hydrophobic Hydration
Non polar solutes (hydrocarbons and ions) having non polar groups e.g. substituted
hydrocarbons and alkyl-ammonium salts, behave quite differently in water as compared to
the ionic solutes, as these are readily soluble in most non polar solvents, but only sparingly
soluble in water128-129
. In thermodynamic terms, the low solubility of non polar solutes means
that the transfer of the solute molecules from the pure liquid alkane to dilute aqueous
13
solution. This process is accompanied by large decrease in entropy which makes the free
energy of their solution positive in spite of their exothermic dissolution in water. It seems
natural to regard the insolubility as being ‘entropy controlled’128
. This behaviour of non polar
solutes is apparently uniquely characteristic of aqueous solutions. The negative entropy and
enthalpy change and positive change in heat capacity upon the addition of non polar solute to
water indicates that the packing of water molecules around the non polar solutes is somewhat
tighter than in pure water called a ‘structure increase’ or enhancement of structure of water130
(Fig.1.5). This region is also known as iceberg formation or hydration of second kind or
hydrophobic hydration although the structure is not necessarily identical with that of ice.
These models assume the formation of short-lived aggregates of water molecules around the
solutes, having more or less well defined structure, called as ‘icebergs’122
, ‘flickering
clusters’70,72
, ‘clathration shells’, ‘polyhedral cages’ similar to those found in the crystalline
hydrates formed by some small non polar molecules. These models are consistent with the
view that considers, inert non polar solutes as ‘structure makers’. The formation of polymeric
aggregates involves strengthened hydrogen bonding128
, which would give negative
contribution to tH. The solutes imposed structure melts away on heating the solutions
which involves breaking of some of the excess hydrogen bonds resulting in an increase in the
heat capacity131
.
Ben-Naim132
also discussed the stabilization of water structure caused by the addition
of non electrolytes that arise from the difference in the change of the chemical potentials of
the clusters and of the monomeric water molecules. He also pointed out that the penetration
of solute molecules into the cavities of the relatively open structure of the clusters enhances
the stabilization effect, although filling up of the cavities is not an essential requirement for
the existence of a stabilizing effect. A number of hydrates of the noble gas atoms,
hydrocarbons, halogens and of many other simple molecules are known to exist. Frank82
has
pointed out that the induced ice-likeness, cannot consist of clathrate formation in the liquid
phase, although ice-like structure could be transitory fragments of clathrate-like aggregates.
According to Privalov and Gill131
, there are two temperatures TH and TS of universal
nature that describe the thermodynamic properties for the dissolution of liquid hydrocarbon
into water. TH is the temperature at which heat of solution is zero133
, which is around 20 °C
for a number of liquids, TS is the other universal temperature around 140 °C where entropy of
transfer of non polar compounds into water is zero, and the process of transfer is most
14
unfavourable. Further at any temperature other than TS, the net effect of hydration of non
polar solutes favours the transfer of non polar molecules from the compact state into water.
Thus, according to their views, the hydration effect of non polar solutes stabilizes the
dissolved state and this itself cannot be regarded as the cause of their hydrophobicity.
Fig. 1.5 Diagrammatic representation of
(a) Hydrophobic hydration and (b)-(e) hydrophobic interactions;
(b) Kauzmann-Nemethy-Scheraga contact interaction;
(c) Globular protein folding;
(d) Proposed solvent-separated interaction; and
(e) Possible stabilization of helix by interaction as in (d)
Muller128
has given another view that at and above TS water retains though to a lesser
extent, the same capacity for structural reorganization which makes it a unique solvent at 25
°C. This modified ‘hydration shell hydrogen bond model’ (HSHB) assumes that the
progressive breaking of hydrogen bonds on heating accounts for about half of the observed
heat capacity of bulk water, and the bond breaking process is perturbed by the introduction of
a solute that give rise to ∆CºP,2.
15
According to Lumry et al.77,134
and Ben-Naim132
there is an exact compensation for
the entropy and enthalpy changes that arises from change in the state of water in the presence
of non polar solutes i.e. ordering of water, and thus this effect does not contribute to the
hydration Gibbs energy. However, Privalov and Gill131
and Murphy et al.135
have pointed out
that large heat capacity change plays the key role in regulating the hydration free energy
change and the principal feature of hydration process.
Borisover et al.136
suggested a new method of estimating the hydrophobic effect
contribution to the thermodynamic functions of hydration of non electrolytes. Their results
indicate that enthalpies of the hydrophobic effect for alkanes are negative which are similar to
that reported by Belousov and Panov137
but contrary to Abraham’s opinion138
according to
which enthalpy is positive. Borisover et al.136
from these studies also indicated that the rare
gases exhibit hydrophobic hydration.
Costas et al.139
have considered that the water molecules around solute undergo a
relaxation process, which lowers the Gibbs energy, enthalpy and entropy of the system and is
responsible for large ∆CºP,2. The origin of hydrophobicity lies in high cohesive energy of
water being counteracted by relaxation of water molecules in the neighborhood of the
hydrophobic solute.
Madan and Sharp129
have reported that non polar solutes have a large positive heat
capacity of hydration, CP, while polar groups have a small negative CP of hydration. The
increase in heat capacity of non polar solutes can be as large as 12 J K−1
mol−1
per first shell
water at 25 °C, a surprisingly large change when compared to the total heat capacity of water,
75 J K−1
mol−1
. As a consequence of the large heat capacity increase, the low solubility of
apolar groups in water at higher temperatures (>90 °C) is caused by unfavourable enthalpic
interactions and not because of unfavourable entropy changes. The hydration of polar groups
is accompanied by a small but significant decrease in CP. Thus the solubility of polar groups
in water is driven by favourable enthalpic interactions at both higher and lower temperatures.
Talukdar and Kundu140
have studied the salt effect on the hydrophobic hydration and
concluded that hydrophobic cations induce more hydrophobic hydration in aqueous NaNO3
solution than in pure water.
1.3.3 Hydrophobic Interactions
The tendency of non polar groups to aggregate in aqueous solutions in order to
minimize energetically unfavourable interactions with water is termed as the ‘hydrophobic
16
bonding’73,141
or ‘hydrophobic interaction’142-143
. The entities can either be parts of
independent molecules or ions, e.g., glycerides, phospholipids, surfactants, and dyestuffs, or
side chains, covalently bonded to a common backbone, e.g., polypeptides or proteins. They
play fundamental role in the stabilization of micelles, biomembranes, and native globular
protein structures141,144
. These interactions are generally involved in many molecular
recognition processes such as the specific binding of substrates in the active site of enzymes,
quaternary protein structure formation, protein-DNA interactions and host-guest binding145
.
Hydrophobic interaction is also one of the important factor in hydrophobic column
chromatography, a novel methodology for the purification of a variety of biological and
industrial materials. These subjects are however problematic even on a semantic level146
.
Ide et al.147
have reported that non polar substitutents bring about structuring of water
surrounding these groups. NMR studies carried out by Bagno et al.148
also showed that water-
water bonding in the surrounding of hydrophobic side substituents are stronger than these
within bulk water. Hechte et al.149
has also reported the increase in water clusters around
alkyl side chain with increase in alkyl side chain length. A distinction is made between bulk
and pairwise hydrophobic interactions in water. Bulk hydrophobic interactions, which lead to
surfactant aggregates, such as micelles and lipid bilayers, are the resultant of the fact that
insufficient water is available for the formation of independent hydration shells, so that
association cannot be prevented. These aggregates are formed with a high cooperativity and
London dispersion energy contributes significantly to their stabilization. Pairwise
hydrophobic interactions on the other hand do take place via destructive overlap of
independent hydration spheres. London dispersion interactions play a much less important
role, since for these direct interactions, the hydration of solute is required. Ludemann et al.150
have reported very recently that till date there is no evidence for a qualitative difference
between pair and bulk hydrophobic interactions.
The association of non polar moieties is assumed to be partial reversal of the solution
process. The thermodynamic parameters for hydrophobic interactions i.e. ΔH°
> 0, ΔS°
> 0,
ΔCp°
< 0, ΔG°
< 0 have opposite signs as compared to those of hydrophobic hydration56,73
.
The hydrophobic interaction is accompanied by disordering of water structure i.e. partial
melting of the so called ‘iceberg’ or clathrate like structure that are produced when the
separate non polar species are first introduced into water56,143
. The hydrophobic interactions
are found to be unusual as compared to normal processes because these are temperature
17
dependent. At 25 °C, the transfer of non polar solutes to water is not principally opposed by
the enthalpy, rather it is due to excess entropy131,133,144
. It arises from the water of solvation
around the solute rather than from solute-solute interactions. Water surrounding the non polar
solute prefers to hydrogen bond with other water molecules rather than to ‘waste’ hydrogen
bonds by pointing them towards the non polar species151-152
. However, at higher temperatures
the aversion of non polar solutes for water becomes ordinary and less entropy driven. The
heat capacity change for transfer of non polar solutes from the pure liquid to water is large
and positive56,131,133
, which implies that the enthalpic and entropic contributions are highly
temperature dependent. The free energy is a nonlinear function of temperature, increasing at
low temperature and decreasing at higher temperature. Hence there will be a temperature at
which solubility of non polar species in water is a minimum. The free energy of transfer of
non polar solute into water is extrapolated to be most positive in the temperature range 130-
160 °C
133-135,153. Hydrophobic interactions are found to be at their maximum value at 140
°C
and are determined entirely by enthalpic contributions. Hence water ordering is not the
principal feature of the aversion of non polar residues of water.
1.4 Specific Molecular Hydration
The hydration effects in aqueous solutions of non polar solutes have been shown to be
largely non-specific and are characterized by microheterogeneities (reflected in marked
concentration dependence of physical properties of these solutes). Solvent molecules adjacent
to non polar solutes interact with their external atomic groups thereby becoming structurally,
dynamically and thermodynamically distinct from bulk water. The opposite is the case for
highly polar solutes where specific interactions between proton donor or acceptor sites (e.g.
−OH, −N−, −O, >C=O) on neutral molecules and water molecules occur. However,
interactions which predominate in aqueous solutions of polyfunctional solutes are of rather
different nature from those occurring in both hydrophobic and polar solutes.
The hydration characteristics of a saccharide molecule depend on its stereochemistry.
It has been proposed that the anomeric effect and the ratio of axial versus equatorial hydroxyl
groups of a saccharide govern its hydration154
. “Specific hydration model” emphasized that in
addition to the number of potential hydration sites, the relative position of the −OH groups at
C-2 and C-4 appears to be a key factor. This is fully consistent with quantitative studies of
kinetic medium effects3,16
and relevant thermodynamic measurements155
. Since the hydration
interaction competes with the intermolecular hydrogen bonding in water, solute molecules
18
which are able to interact with the solvent without major perturbations in the solvent structure
are likely to interact preferentially. Galema et al.156
have reported that molecular dynamics
(MD) studies in aqueous solutions provide important insights into the hydration
characteristics of saccharides.
Warner157
has pointed out that in many biological molecules, the spacing of ether, ester,
hydroxyl and carbonyl oxygen atoms is about 4.8 °A, which is very close to the next-nearest
oxygen spacing (4.75 °A) in a hypothetical ice I lattice at 298 K. This suggests that, provided
there exists in liquid water some resemblance to an ice-like structure, molecules like biotin, 1,4-
quinone, β-D-glucose and triglycerides could be cooperatively hydrogen bonded into water
structure without undue modification of the existing hydrogen bonded system (Fig. 1.6).
Fig. 1.6 Correlation between oxygen spacings in organic molecules and in the ice lattice.
Numbers in the formulae indicate interaction points with the correspondingly
numbered oxygens in the ice lattice.
Figs. 1.1 & 1.2 -Ref. 73, Fig. 1.3 –Ref. 74, Fig. 1.4 - 72, Fig. 1.5 - Ref. 56, Fig. 1.6 - Ref. 74.
Model - ice
Biotin
1,4-Quinone
-D-Glucose
Triglyceride
19
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