Size Switchable Supramolecular Nanoparticle Based on Azobenzene Derivative within Anionic Pillar[5]arene
Cai-Cai Zhang1, Sheng-Hua Li1,2, Cui-Fang Zhang1
1Department of Chemistry, State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin 300071, P. R. China.
Scientific Reports
|November 17, 2016
Summary
Researchers developed photo/thermal-switchable supramolecular nanoparticles using pillararene and azobenzene. These nanoparticles reversibly change size, switching solutions between turbid and clear states.
Area of Science:
- Supramolecular Chemistry
- Materials Science
- Nanotechnology
Background:
- Anionic pillar[5]arene (2C-WP5A) and azobenzene derivative (Azo-py-OMe, G) form host-guest inclusion complexes.
- Pillararene-based host-guest chemistry enables the creation of novel supramolecular structures.
Purpose of the Study:
- To construct and characterize a photo/thermal-switchable supramolecular nanoparticle assembly.
- To investigate the host-induced aggregating (HIA) phenomenon for nanoparticle formation.
- To demonstrate reversible size changes in nanoparticles triggered by external stimuli.
Main Methods:
- Host-guest inclusion complexation studied via 1H NMR titration, 2D ROESY, and isothermal titration microcalorimetry (ITC).
- Nanoparticle characterization using Transmission Electron Microscopy (TEM) and Dynamic Light Scattering (DLS).
- Photo/thermal-isomerization of the azobenzene derivative to induce size changes.
Main Results:
- A stable 1:1 host-guest complex with a high association constant (Ka = 2.60 × 10^4 M^-1) was formed.
- Supramolecular nanoparticles were successfully synthesized via host-induced aggregation (HIA).
- Nanoparticle size reversibly switched from ~800 nm to ~250 nm upon photo/thermal isomerization, altering solution turbidity.
Conclusions:
- Photo/thermal-switchable supramolecular nanoparticles were successfully constructed.
- The host-induced aggregation method provides a facile route to nanoparticle assembly.
- Reversible size modulation of nanoparticles offers potential for smart material applications.


