gel_fit
Fitting using fine-scale polymer distribution in a gel.
Parameter |
Description |
Units |
Default value |
---|---|---|---|
scale |
Scale factor or Volume fraction |
None |
1 |
background |
Source background |
cm-1 |
0.001 |
guinier_scale |
Guinier length scale |
cm^-1 |
1.7 |
lorentz_scale |
Lorentzian length scale |
cm^-1 |
3.5 |
rg |
Radius of gyration |
Å |
104 |
fractal_dim |
Fractal exponent |
None |
2 |
cor_length |
Correlation length |
Å |
16 |
The returned value is scaled to units of cm-1 sr-1, absolute scale.
This model was implemented by an interested user!
Unlike a concentrated polymer solution, the fine-scale polymer distribution in a gel involves at least two characteristic length scales, a shorter correlation length ( \(a1\) ) to describe the rapid fluctuations in the position of the polymer chains that ensure thermodynamic equilibrium, and a longer distance (denoted here as \(a2\) ) needed to account for the static accumulations of polymer pinned down by junction points or clusters of such points. The latter is derived from a simple Guinier function. Compare also the gauss_lorentz_gel model.
Definition
The scattered intensity \(I(q)\) is calculated as
where
Note that the first term reduces to the Ornstein-Zernicke equation when \(D = 2\); ie, when the Flory exponent is 0.5 (theta conditions). In gels with significant hydrogen bonding \(D\) has been reported to be ~2.6 to 2.8.
Source
gel_fit.py
\(\ \star\ \) gel_fit.c
References
Mitsuhiro Shibayama, Toyoichi Tanaka, Charles C Han, J. Chem. Phys. 1992, 97 (9), 6829-6841
Simon Mallam, Ferenc Horkay, Anne-Marie Hecht, Adrian R Rennie, Erik Geissler, Macromolecules 1991, 24, 543-548
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