Polymer scattering experiments are one of the main scientific methods used in chemistry, physics and other sciences to study the characteristics of polymeric systems: solutions, gels, compounds and more. As in most scattering experiments, it involves subjecting a polymeric sample to incident particles (with defined wavelengths), and studying the characteristics of the scattered particles: angular distribution, intensity polarization and so on. This method is quite simple and straightforward, and does not require special manipulations of the samples which may alter their properties, and hence compromise exact results.
As opposed to crystallographic scattering experiments, where the scatterer or "target" has very distinct order, which leads to well defined patterns (presenting Bragg peaks for example), the stochastic nature of polymer configurations and deformations (especially in a solution), gives rise to quite different results.
We consider a polymer as a chain of monomers, each with its position vector
\vec{Ri}
ai
ai=a
An incoming ray (of light/neutrons/X-ray etc.) has a wave vector (or momentum) , and is scattered by the polymer to the vector . This enables us to define the scattering vector .
By coherently summing the contributions of all
N
N | |
I(\vec{k})=|a| | |
i,j=1 |
ei\vec{k ⋅ (\vec{R}i-\vec{R}j)}
A dilute solution of a certain polymer has a unique feature: all polymers are considered independent from each other, so that interactions between polymers may be neglected. By illuminating such a solution with a ray of considerable width, a macroscopic number of chain conformations are being sampled simultaneously. In this situation the accessible observables are all ensemble averages, i.e. averages over all possible configurations and deformations of the polymer.
In such a solution, where the polymer density is low (dilute) enough, homogenous and isotropic (on average), intermolecular contributions to the structure factor are averaged out, and only the single-molecule/polymer structure factor is preserved:
S(\vec{k})= | 1{N |
2}\langle |
N | |
\sum | |
i,j=1 |
ei\vec{k ⋅ (\vec{R}i-\vec{R}j)}\rangle
with
\langle ⋅ \rangle
S(\vec{k})= | 1{N |
2}\langle |
N | |
\sum | |
i,j=1 |
\sinkRij | |
kRij |
\rangle
where two more definitions were made:
k\equiv|\veck|
Rij\equiv|\vecRi-\vecRj|
If the polymers of interest are ideal gaussian chains (or freely-jointed chains), in the limit of very long chains (allows performing a sort of "continuum transition"), the calculation of the structure can be carried out explicitly and result in a sort of Debye function:
2-1+e | |
S | |
g) |
| |||||||
]
With
Rg
in many practical scenarios, the above formula is approximated by the (much more convenient) Lorentzian:
S | |||||||
|
which has a relative error of no more than 15% compared to the exact expression.
The calculation of the structure factor for cases differing from ideal polymer chains can be quite cumbersome, and sometimes impossible to complete analytically. However, when the small-angle scattering condition is met,
kRg\ll1
S(\vec{k}) ≈ | 1{N |
2}\langle |
N | ||
\sum | 1- | |
i,j=1 |
16(kR | |
ij |
)2\rangle
S(\vec{k}) ≈ 1- | 13(kR |
g |
)2 ≈
| |||||
e |
where the final transition utilises once again the small-angle approximation.
We can thus approximate the scattering intensity in the small-angle regime as:
logI(k)=-
13k | |
2R |
2+const. | |
g |
and by plotting
logI(k)
k2
In order to reap the benefits of working in this small-angle regime, one must take into consideration:
Rg
The ratio
Rg | |
λ |
\theta
k
k= | 4\pi | \sin{ |
λ |
\theta2} | |
so the small-angle condition becomes
Rg | \sin{ | |
λ |
\theta2}\ll1 | |
- For visible light,
λ\sim5000\overset{o}{A}
- For neutrons,
λ\sim3\overset{o}{A}
- For "hard" X-rays,
λ\sim1\overset{o}{A}
while typical
Rg
10-100\overset{o}{A}
\theta=0
On the other hand, to resolve smaller polymers and structurals subtleties, one cannot always resort to using the long-wavelength rays, as the diffraction limit comes into play.
The main purpose of such scattering experiments involving polymers is to study unique properties of the sample of interest: