APPLICATION NOTE

SAXS Characterization of SDS Micelle Structure in Solution

Structural determination of surfactant micelles for pharmaceutical solubilization and drug delivery applications

Method: SAXS with core-shell modeling
Sample Type: Surfactant micelles
Application: Solubilization systems

Summary

Surfactant micelles are self-assembled colloidal structures used extensively in pharmaceutical development for solubilization of hydrophobic drugs, membrane protein studies, and as components of drug delivery formulations.

This application note demonstrates SAXS structural characterization of sodium dodecyl sulfate (SDS) micelles in aqueous solution. The study determines micelle size, shape, aggregation number, and internal structure using dedicated core-shell modeling — providing quantitative parameters essential for formulation development and quality control.

Key Achievement: Precise determination of SDS micelle structure (Rcore = 1.85 nm, aggregation number = 62 ± 5 molecules, ellipsoidal shape) demonstrating SAXS capability for characterizing pharmaceutical solubilization systems.

Background & Pharmaceutical Relevance

Micelles in Pharmaceutical Development

Surfactant micelles are used for:

Critical Quality Attributes

Methods & Experimental Design

Sample Preparation

Surfactant: Sodium dodecyl sulfate (SDS), pharmaceutical grade

Concentration: 1% wt aqueous dispersion (well above CMC of ~0.24% wt)

Preparation: Mixed with stirrer for 24 hours at 40°C, then filtered

Measurement: Room temperature

Analysis: Differential SAXS pattern (SDS dispersion vs. buffer)

SAXS Measurement

Instrument Configuration

  • X-ray sourceCu Kα (λ = 1.54 Å)
  • Q-range0.01 – 0.50 Å⁻¹
  • Exposure time45 minutes
  • Sample holderFlow-through capillary
  • BackgroundPure water subtracted

Core-Shell Modeling

Results

SAXS differential pattern of SDS dispersion

Figure 1. SAXS differential pattern of SDS dispersion in buffer.

PDDF function of SDS micelles

Figure 2. Reconstructed PDDF function. Minimums and maximums indicate the characteristic distances within the particle. Point C at ~41 Å estimates the average distance between opposite hydrophilic groups in the micelle. Point D at ~55 Å indicates the maximum distance within the particle.

Core-shell model of SDS micelle

Figure 3. Core-shell model of micelle showing hydrophobic core and hydrophilic shells.

Micelle Structural Parameters

Core Radius

Rcore = 1.55 nm

Hydrophobic alkyl chains (σ=13%)

1st Shell Thickness

0.38 nm

Inner hydrophilic heads (σ=9%)

2nd Shell Thickness

0.19 nm

Outer hydration layer (σ=22%)

PDDF Characteristic Distances

Dmax ~5.5 nm

Maximum dimension in micelle

PDDF Analysis

From PDDF function reconstruction:

Conclusion

This study demonstrates the reconstruction of the internal structure of SDS micelles in aqueous solution using SAXS. Both methods - PDDF analysis and core-shell modeling - result in comparable values for the particle size. The advantage of PDDF is flexibility and independence from the model, while core-shell modeling provides actual numerical values for the refined parameters.

* PDDF is a self-correlation function of relative scattering density within the particle. Maximums of PDDF function show the most populated vectors inside the particles connecting the areas with the largest scattering density.

Related Application Notes