|Search for content and authors|
Mathematical tools for characterization of spatial variability of surface activity based on SECM images
|Monika Maciejewska 1, Dominik Schäfer 2, Wolfgang Schuhmann 2|
1. Wrocław University of Technology, Wybrzeże Wyspiańskiego, Wrocław 50-370, Poland
Scanning Electrochemical Microscopy (SECM) has been successfully used for the imaging of modified surfaces revealing localized chemical information such as immobilized enzyme activity, electron-transfer kinetics etc. . Previously, we have used enzyme microstructures visualized by SECM for compensating for potentially interfering compounds or determination of more than one substrate .
It is usually considered that by integration of many differently modified structures the amount of information about a measured sample can be significantly increased as compared to using a single structure. Sensor arrays usually consist of a number of individually and by purpose differently modified sensor surfaces, thus potentially allowing for the evaluation of complex multi-component samples. In contrast, each defined surface area modified with a sensing chemistry exhibits spatial inhomogeneity and could hence be treated similar to a sensor array, provided the possibility to extract localized information.
In order to demonstrate this approach enzyme/polymer layers were fabricated on surfaces and the localized sensor response upon addition of the enzyme's substrate was visualized with high lateral resolution using SECM, in the generator/collector mode (Fig. 1).
Fig. 1 SECM image of the localized sensor response [nA] of an enzyme/polymer
The SECM images obtained at different substrate concentrations were used as a basis for investigation of spatial variability of surface activity with feature extraction techniques.
 Ch. Zhao, G. Wittstock, Biosens. Bioelelectron., 20 (2005) 1277.
Presentation: Short communication at SMCBS'2005 Workshop, by Monika Maciejewska
See On-line Journal of SMCBS'2005 Workshop
Submitted: 2005-08-31 16:52 Revised: 2009-06-07 00:44