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14
The Fundamentals and Powerful Tool for Nano Physical Pharmaceutics
are typical representatives of the self-assembly phenomenon in organisms. Lipid molecules are bonded noncovalently, so they can undergo rapid rearrangement, for instance, changing positions
   
other biological constituents whose molecules bond covalently, such as polynucleotides, proteins, and polysaccharides.
1.2.2.2 Phase behaviors of lipid bilayers
For a one-component lipid bilayer, as the temperature is lower than the melting temperature (Tm) of phospholipids, the bilayers are in the solid-gel state (Lb), and their tail acyl chains are arranged in order. With the temperature increasing, the lipids would undergo phase transition from Lb La). At ambient temperatures, the phase of lipid with the high melting point is usually Lb (such as sphingomyelins) or L
b
(chain-inclined solid phase) (such as DPPC or DSPC). For low-melting lipids, such as DOPC, POPC, or SOPC, their phase is La. In order to increase the
       
higher than the melting temperature of phospholipids.
The phase behaviors of binary lipid bilayers have been depicted as a function of compositions and temperatures. In two-component membranes, containing high and low-melting-temperature lipids,
Lb and La phases could coexist. The two lipids are miscible in

conversely, as the chains are dissimilar adequately, they are

Membranes containing three or more lipids are closer to biological membranes than binary mixtures. Since the content of cholesterol in animal cell membranes is about 35–45 mole% of total lipids, the phase behaviors of mixtures containing cholesterol are more attractive [28]. Ternary mixtures of lipids, i.e., high­melting lipid + low-melting lipid + cholesterol, are the combination with least components that can produce rich phase behaviors [29]. At present, the phase diagrams of three-component lipid mixtures: DPPC/DOPC/cholesterol at temperatures from 15° to 45° [30, 31], DPPC/diphytanoyl-PC/cholesterol at temperatures from 10° to 60° [32] and DSPC/DOPC/cholesterol at ambient temperature [33], have been determined. Results show that a high

Stability of Nanosystems in Solutions

15
    
of bilayers and transforms the Lb phase into a new phase, i.e., the liquid ordered phase (Lo). The coexistence of two macroscopic liquid phases (L
o
+ liquid disordered phase Ld) emerges over a wide range of compositions and temperatures. Here, the Lo phase is rich in cholesterol, while Ld is poor in cholesterol. In addition, it seems to be that cholesterol could increase the ordering of the
Ld phase, but decrease that of the Lo phase. That is, compared
        
in properties of coexisting domains in the ternary mixture.
1.3 Stability of Nanosystems in Solutions
Due to the high surface area and surface energy, the self-assembled nanoparticles are thermodynamically unstable in the water­dispersed system. The particles tend to aggregate together to reduce their surface energy, that is, they are prone to coagulating and become instable. So, stabilizers are needed necessarily. On the other hand, the intense Brown motion of nanoparticles makes
         
have kinetic stability. Scholars believe that the former is more important, because once the thermodynamic stability is lost, the particles will aggregate together and grow up, resulting in the system losing the kinetic stability. The stability of nanosystems in solutions has always been an important issue in colloidal science. In this section, the stability theory of colloids, i.e., DLVO theory will be introduced.

1.3.1 DLVO Theory

In the 1940s, Soviet scholars Derjaguin and Landau, as well as Dutch scholars Verwey and Overbeek, proposed the calculation methods of mutual attraction energy and repulsion energy

respectively. They are used to describe the interaction between colloidal particles quantitatively. This theory has been called the DLVO theory simply.
16
The Fundamentals and Powerful Tool for Nano Physical Pharmaceutics
1.3.1.1 Interaction energy between nanoparticles
The attractive energy-making nanoparticles aggregate together and the repulsive energy preventing them from aggregating exists simultaneously. These two energies, both of which are related to the distance between particles, determine the stability of the system.
The attraction between particles is essentially the same as the van der Waals attraction between molecules, but it is the mutual attraction between particles made up of many molecules and is the sum of each molecule’s contributions. The mutual attractive force between particles is a long-range force, inversely proportional to the third power of the distance. The repulsive force between particles comes from the electrical double-layer structures around the particles. The nanoparticles in contact with the liquid will adsorb certain ions from the liquid selectively. So, the solid
         
electrical double-layer structure on the interface as shown in Fig. 1.6. When the distance between particles is large, the electrical double layers have not overlapped, so the repulsive force does not act. However, once the particles are so close that the electrical double layers overlap, the concentration of ions in the overlapping part increases, and the osmotic pressure of the excess ions will hinder the proximity of the particles, resulting in repulsive interaction.
Figure 1.6 Schemac diagram of the electrical double layer of negavely charged nanoparcles in aqueous solution.
Stability of Nanosystems in Solutions
17
The relationship between the total interactive energy and the distance between particles is shown in Fig. 1.7. When the particles are far apart from each other, the electrical double layers do not overlap. Under the circumstances, only the attractive interaction works, and the total potential energy is negative. As the distance between particles is so close that the electrical double layers overlap, the repulsive force plays a major role and the total
        
the distance decreasing, the attractive force between the particles also increases. For the distance short to a certain extent, the attractive force starts to dominate again and the potential energy decreases. As can be seen from Fig. 1.7(c), the particles must overcome an energy barrier to aggregate together, which is the reason why the nanoparticles do not coagulate in solutions. Therefore, although the particles might collide due to the Brown motion, so long as the distance between the particles gets shorter enough for the overlap of the electrical double layers, they are then separated by repulsive interaction and do not aggregate together.
External factors, such as the electrolyte concentration in a
         
For the highly charged surface in a dilute electrolyte solution, the
parcles in an electrolyte soluon as described by DLVO theory. Reproduced from [34] under the terms of Creave Commons Aribuon 4.0 Internaonal
License.
18
The Fundamentals and Powerful Tool for Nano Physical Pharmaceutics
strong long-range repulsive force results in a high energy barrier to be overcome for particle aggregation. So, the nanosystem is stable. For higher concentrated electrolyte solution, a secondary minimum emerges along the curve like the cure shown in Fig. 1.7, and the energy barrier decreases somewhat. However, it is still
        
case, the particles are either at the weak secondary potential energy corresponding to reversible aggregation (thermodynamic equilibrium at the primary minimum corresponding to the irreversible aggregation), or completely dispersed in the solution. The latter case has been known as the kinetic stable state. As the surface charge density or potential decreases, or the electrolyte concentration increases), the energy barrier continues to drop. When the energy barrier drops below the axis of U = 0, the particles will rapidly coagulate and the nanosystem is unstable. When the surface charge or potential approaches zero, the two surfaces attract each other at any distance, and the system
        
concentration, surface charge density or potential on the stability

to prevent them from coagulating and improves the stability of the system.
1.3.1.2 Effects of DLVO theory
When discussing the stability of nanoparticles, DLVO theory
 
between particles (U
vdW
) which promotes the coagulation and the repulsive energy (UEL) which hinders it. The theory provides the calculation methods of the repulsive energy and attractive energy between colloid particles, based on which the stability of colloids is quantitatively treated. The relationship between the critical coagulation concentration (also known as the condensation value) and the valence number of ions with opposite charges to the colloidal particle is obtained. And the Schulze-Hardy rule (i.e., the coagulation value is inversely proportional to the sixth power of the valence number of counterions) is formulated theoretically.
Under the Derjaguin integration approximation, the interaction energy between two spherical particles with radii R1 and R2 can be expressed as [35, 36]:
Stability of Nanosystems in Solutions
19
U = U
vdW
+ U
EL
(1.19)
A
H
8R
R
2
8R
R
2
DR(8 R + D)
U
vdW
=
+
2
+ ln
2
(1.20)
DRR + D) (4RR + D) (4RR + D)
6 (8
1
2 2
U = 4pee R jj exp( −kD)− (j + j )exp( −2kD)
(1.21)
EL 0 R 1 2 1 2
4
ee kT
−1
0 B
(1.22)
k =
2NIe
2
A
12
R =
RR
(1.23)
R
R + R
1 2
where AH is the Hamaker constant. D is the distance between the surfaces of the two spheres. e is the dielectric constant of water.
e0 is the dielectric constant of vacuum, and j1, j2 are the surface
potentials of the two interacting particles, approximately equal to their z potentials. k
–1
is Debye length, representing the

ionic strength, as well as electrolyte. kB is Boltzmann’s constant, T is absolute temperature, NA is Avogadro’s number, I is ionic
strength and e is unit charge.
The variation of the total interaction energy U with the distance D between particles has been shown in Fig. 1.7. The height of the barrier is a sign of the stability of the system. When the height of the barrier is zero, the system becomes unstable. The curve, for which the barrier drops to zero due to the addition

dU
=0, U = 0
(1.23)
dD
Correspondingly, the added electrolyte concentration c is the critical coagulation concentration, which is usually called the coagulation value. By several steps of treatment, one can get a

20
The Fundamentals and Powerful Tool for Nano Physical Pharmaceutics
(1.25)
surfaces in dilute electrolyte solutions demonstrated that DLVO theory is completely correct. According to the literature [34, 38], reporting the relationship of the measured DLVO force and the
       
solutions, the maximum force is reached when the surface spacing is 20–50 Å and the two micas could attract together eventually below this interval. These results show that the DLVO theory is basically correct. However, when the distance is very small, the theory seems not to hold.
In addition, numerous studies have been conducted on the electrical double layers or DLVO forces in various monovalent, divalent and multivalent electrolyte solutions by means of SFA, AFM or osmotic pressure. Related works include the force between surfactant and lipid bilayer, the internal and external tension of

or metal oxide, and so on. Overall, the results are very consistent with the DLVO theory.

1.3.3 Limitations of Classical DLVO

The success of the DLVO theory in describing the stability of colloids is unquestionable. However, some experimental results have shown
       
mainly include: the DLVO theory can only describe short distance (0.1–10 nm) interaction, when the distance is less than 0.1 nm, the experimental results are inconsistent with the theory; the
4
g
cK=
26
Az
H
where surface Obviously, sixth
power of the valence number
K is a
potent
the
constant,
ial.
and
For a
condensation
g is a
physical
certain
sol,
K g
value is inversely
z of the antisign
quantity
proportional
related
to the
 
to the
ions, which
theoretically illustrates the Schulze-Hardy rule.
1.3.2 Experimental Verif



 
  

ication of DLVO




 

 


The Powerful Tool for Study of Nano Physical Pharmaceutics

21
DLVO theory is best used for monovalent salts with concentrations below 5 × 10
–2
M, and above 0.1 or 0.2 M (range of biological interest or physiological concentrations), the DLVO theory loses the predictability. These deviations are often attributed to the presence of non-DLVO forces, such as hydration force, hydrophobic,

Considering the above limitations of the classical DLVO theory, the DLVO model has been improved. Extended DLVO (or EDLVO) theory is known as a model that considers Lewis acid-base interactions or other non-DLVO forces. In most cases where the EDLVO model is applied, the Lewis acid-base interaction is considered to be an important supplement to the DLVO theory, and the predicted results are in agreement with the coagulation experiment.
1.4 The Powerful Tool for Study of Nano
Physical Pharmaceutics (NPP) [39]
When a beam of monochromatic, coherent light hits a dilute macromolecule solution or suspension of colloidal particles and
          
(macromolecules or colloidal particles), the incident light is scattered by each illuminated macromolecule or colloidal particle
   
macromolecules or particles mutually interfere, or combine, at a distant from the fast photomultiplier tube (PMT) or avalanche­photodiode (APD) detector and produce a net scattered intensity I(t) or photon counts n(t) which is not uniform on the detection plane. If all the macromolecules or particles are stationary, the scattered light intensity in each direction would be a constant i.e., independent of time. However, in reality, all the scatters in the solution are undergoing constant Brownian motions, and this fact
                 I(t) with time if the                            
22
The Fundamentals and Powerful Tool for Nano Physical Pharmaceutics
macromolecules. The faster the relaxation process, the faster the

                 
scence) and elastic (no absorption) light scattering. However, in polymer and colloid science, light scattering is normally referred to in terms of static (elastic) or dynamic (quasi-elastic) measurements, or both, of the scattered light [40]. Static LLS as a classical and absolute analytical method measures the angular distribution of time-average scattered intensity. On the other
       
of the average light intensity (this is where the word dynamic comes from), and its essence may be explained as follows. When the incident light is scattered by one moving macromolecule or particle, the detected frequency of the scattered light will be slightly higher or lower than that of the original incident light
         
moves towards or away from the detector. Thus, the frequency distribution of the scattered light is slightly broader than that of the incident light. This is why dynamic LLS is also called quasi-elastic light scattering (QELS). The frequency broadening
5–107 Hz) is so small in comparison with the incident light 
15

         
recorded in the time domain through a time correlation function. For this reason, dynamic light scattering is sometimes known as
                
spectroscopy (PCS) is then used to refer to the technique described here.
The recorded observation of the light scattering can be traced back to 1802 when Richard, J. B noticed the light path of the gold
      
on light scattering was Tyndall. He observed the scattering of the natural light when it passed through a colloid amphiphilic. In

derived that the intensity of the scattered light by the non­absorption, non-interaction and optically isotropic small particles is reversely proportional to the fourth power of the incident
The Powerful Tool for Study of Nano Physical Pharmaceutics
23
wavelength. In 1944, Debye measured the molecular weight of macromolecules from a dilute solution using light scattering method. Later, Zimm [42] proposed the famous Zimm plot by extrapolating both concentration and angular angle to zero value at a single coordinate. Since then, light scattering, strictly, static light scattering as a classical and absolute analytical method has been widely used to characterize both synthetic and natural macromolecules. However, light scattering at that time was
       
concentrations, from which three parameters of macromolecules, namely the weight-average molecular weight (M
1/2
root-mean-square radius of gyration (〈R
2
〉
, simply 〈Rg〉) and the
z
), z-average
w
 A2) can be obtained. This situation
was changed in the 1960s with the invention of the laser. In 1964,
         
radiation for the study of macromolecular solutions, poly(styrene), and during the last two decades, thanks to the advance of stable laser, ultrafast electronics and personal computers, LLS, especially dynamic LLS has evolved from a very special instrument for physicists and physical chemists to a routine analytical tool in polymer laboratories or even to a daily quality-control device in production lines [44, 45]. Commercially available research­grade LLS instruments are normally capable of making static and dynamic measurements simultaneously for studies of colloidal particles in suspension or macromolecules in solution as well as in gels and viscous media. Note: Sections 1.1 and 1.2 are quoted from the doctoral thesis of the author Wei Li [39].
1.4.1 Static Laser Light Scattering (SLLS)
1.4.1.1 Scattering by a small particle
            
it a dipole that oscillates with the same frequency as the incident light (Fig. 1.8). An oscillating dipole produces a secondary
        
words, the particle scatters the incident light. Consider a single, optical isotropic particle (a macromolecule or a colloid particle) with a polarizability a at origin o (Fig. 1.8) in vacuum. When