High-speed scanning electrochemical microscopy method for substrate kinetic determination: method and theory.
Sabine Kuss1, Dao Trinh2, Laurence Danis1
1†McGill University, Chemistry Department, 801 Sherbrooke Street W., Montreal, Québec H3A 2A7, Canada.
Analytical Chemistry
|July 14, 2015
Summary
This study presents a new method using scanning electrochemical microscopy (SECM) to analyze cell surface reactivity and topography. The technique accurately determines kinetic rates even for delicate biological samples under varying scan speeds.
Area of Science:
- Electrochemistry
- Surface Science
- Biophysical Techniques
Background:
- Scanning electrochemical microscopy (SECM) is valuable for analyzing biological samples like living cells.
- Decoupling topographical and reactivity signals in SECM remains a significant challenge.
- Optimizing experimental parameters, such as scan velocity, is crucial for delicate biological samples.
Purpose of the Study:
- To develop a method for extracting substrate kinetic rates from SECM data.
- To address the challenge of separating topographical and reactivity signals.
- To enable kinetic rate determination for samples with unknown surface reactions and complex topographies, including soft biological tissues.
Main Methods:
- Utilizing numerical modeling combined with high-speed constant height SECM imaging.
- Implementing a nonlinear fit strategy for data analysis.
- Adapting the method for slow scan velocities to accommodate delicate samples like cells.
Main Results:
- Successfully extracted substrate kinetic rates using the proposed numerical modeling and SECM approach.
- Demonstrated the ability to decouple topographical and reactivity signals.
- Validated the nonlinear fit strategy for obtaining accurate kinetic rates under slow scan conditions.
Conclusions:
- The developed method provides a robust approach for determining surface reaction kinetics using SECM.
- This technique is particularly advantageous for analyzing biological samples with significant topographical variations.
- The nonlinear fitting strategy enhances the applicability of SECM for studying soft biological samples.
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