Title
Dynamic in situ study of self-assembling organic phosphonic acid monolayers from ethanolic solutions on aluminium oxides by means of odd random phase multisine electrochemical impedance spectroscopy Dynamic in situ study of self-assembling organic phosphonic acid monolayers from ethanolic solutions on aluminium oxides by means of odd random phase multisine electrochemical impedance spectroscopy
Author
Faculty/Department
Faculty of Applied Engineering Sciences
Publication type
article
Publication
London ,
Subject
Physics
Chemistry
Engineering sciences. Technology
Source (journal)
Electrochimica acta. - London
Volume/pages
106(2013) , p. 342-350
ISSN
0013-4686
ISI
000323192400045
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
The study of self-assembling monolayers on various oxide substrates is a scientific field still in full development. One of the challenges in this type of work is to probe the interactions in situ and dynamically. In this study a novel approach to investigate the adsorption of n-octylphosphonic acid on aluminium oxide from an ethanolic solution through odd random phase electrochemical impedance spectroscopy is presented. A model is proposed to describe the system and its validity is statistically established. It is observed that molecules adsorb on the surface. It is proven that the acid-base condensation reaction expels water which stays nearby the hydrophilic surface. Furthermore, it is shown that the phosphonic molecules bind ionically with the oxide surface. The work in this manuscript clearly shows that ethanol as a solvent is not suited to form stable organic acid layers on the surface. Due to the fact that water diffuses slowly in the bulk solvent, hazardous local environments are created at the oxide surface. During adsorption, the oxide is at the same time attacked. In this work, it is shown that odd random phase multisine electrochemical impedance spectroscopy is the ideal technique to not only investigate in situ dynamically the adsorbing behaviour of very thin films, but also to comprehend what happens with the buried substrate. Moreover, complex models can be used to fit the datasets obtained as it is possible with this analysis technique to prove statistically that they are correct.
E-info
https://repository.uantwerpen.be/docman/iruaauth/249c5b/1e04776.pdf
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