Surface characterization of nanoparticles carrying pH-responsive polymer hair

Fujii, Syuji, Suzaki, Motomichi, Nakamura, Yoshinobu, Sakai, Kenichi, Ishida, Naoyuki and Biggs, Simon (2010) Surface characterization of nanoparticles carrying pH-responsive polymer hair. Polymer, 51 26: 6240-6247. doi:10.1016/j.polymer.2010.10.041

Author Fujii, Syuji
Suzaki, Motomichi
Nakamura, Yoshinobu
Sakai, Kenichi
Ishida, Naoyuki
Biggs, Simon
Title Surface characterization of nanoparticles carrying pH-responsive polymer hair
Journal name Polymer   Check publisher's open access policy
ISSN 0032-3861
Publication date 2010-12-10
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.polymer.2010.10.041
Open Access Status
Volume 51
Issue 26
Start page 6240
End page 6247
Total pages 8
Place of publication London, United Kingdom
Publisher Elsevier
Language eng
Abstract The surface of near-monodisperse colloidal polystyrene (PS) latex particles carrying pH-responsive poly[2-(diethylamino)ethyl methacrylate] (PDEA) polymer chains as a steric stabilizer has been extensively characterized in dry and wet states. X-ray photoelectron spectroscopy and contact angle measurement studies confirm that PDEA chains are located on the PS latex particle surface. Transmission electron microscopy (TEM) studies reveal that the sterically stabilized PS particles have a core-shell morphology and wet atomic force microscopy data confirm that the pH-responsive PDEA component covers the PS latex core and the thickness of the protonated steric polymer is estimated to be approximately 15 nm. The PS latex particles can be easily dispersed in acidic aqueous media (pH 3.0) whilst they flocculate in basic aqueous media (pH 10.0) due to the pH-responsive PDEA hair. This dispersion-flocculation cycle of the PS latex is fully reversible.
Keyword Latex
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 20750182
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Faculty of Engineering, Architecture and Information Technology Publications
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
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