Faculty
FLORIDA STATE / PEOPLE / FACULTY
Dr. Robert Lazenby, Assistant Professor

Professional Preparation/Appointments
MChem Warwick University (2010)
Ph.D. Warwick University (2015)
Postdoc, University of Maryland Baltimore County (2016-2017)
Postdoc, University of Cincinnati (2017-2019)
Contact Information
rlazenby@fsu.edu | ||
Office | 3006 CSL | 850.645.1769 |
Lab | 3401 CSL |
Programs of research
Analytical
research specialties
Bioanalytical, Nanoscience
Research Interest
The Lazenby laboratory focuses on electroanalytical techniques and scanned probe electrochemical microscopy, for analytical applications in imaging, chemical sensing, health and materials characterization. We develop new electrochemical biosensor probes at the micro- and nanoscales, as well as the methods to implement these sensors into scanned probe microscopy techniques such as scanning electrochemical microscopy and scanning ion conductance microscopy. The high spatial resolution that nanoscale probes provide for these imaging techniques, can be applied to selective mapping of chemical fluxes and concentrations at biological and non-biological samples.
Publications
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Gupta, P.; Lazenby, R. A.; Rahm, C.; Heineman, W. R.; Buschbeck, E.; White, R. J.; Alvarez, N. T. Electrochemistry of Controlled-Diameter Carbon-Nanotube Fibers at the Cross Section and Sidewall. ACS Appl. Energy Mater., 2019, 2, 8757–8766. |
Zhang, X.; Lazenby, R. A.; Wu, Y.; White, R. J. Electrochromic, Closed-Bipolar Electrodes Employing Aptamer-Based Recognition for Direct Colorimetric Sensing Visualization. Anal. Chem., 2019, 91, 11467–11473. |
Lazenby, R. A.; White, R. J. Advances and Perspectives in Chemical Imaging in Cellular Environments using Electrochemical Methods. Chemosensors, 2018, 6, 24. |
Santos-Cancel, M.; Lazenby, R. A.; White, R. J. Rapid Two-Millisecond Interrogation of Electrochemical, Aptamer-Based Sensor Response Using Intermittent Pulse Amperometry. ACS Sens., 2018, 3, 1203–1209. |
Lazenby, R. A.; Macazo, F. C.; Wormsbecher, R. F.; White, R. J. Quantitative framework for stochastic nanopore sensors using multiple channels. Anal. Chem., 2018, 90, 903–911. |