
Contact Information
Office 2309
405 N Mathews
M/C 251
Urbana, IL 61801
Recent Publications
Wang, C., Rubakhin, S., Enright, M. J., Sweedler, J. V., & Nuzzo, R. G. (Accepted/In press). 3D Particle-Free Printing of Biocompatible Conductive Hydrogel Platforms for Neuron Growth and Electrophysiological Recording. Advanced Functional Materials. https://doi.org/10.1002/adfm.202010246
Lee, D. K., Rubakhin, S. S., Kusmartseva, I., Wasserfall, C., Atkinson, M. A., & Sweedler, J. V. (2020). Removing Formaldehyde-Induced Peptidyl Crosslinks Enables Mass Spectrometry Imaging of Peptide Hormone Distributions from Formalin-Fixed Paraffin-Embedded Tissues. Angewandte Chemie - International Edition, 59(50), 22584-22590. https://doi.org/10.1002/anie.202008847
Liao, H. W., Rubakhin, S., Philip, M. C., & Sweedler, J. V. (2020). Enhanced single-cell metabolomics by capillary electrophoresis electrospray ionization-mass spectrometry with field amplified sample injection. Analytica Chimica Acta, 1118, 36-43. https://doi.org/10.1016/j.aca.2020.04.028
Wu, Q., Rubakhin, S. S., & Sweedler, J. V. (2020). Quantitative Imprint Mass Spectrometry Imaging of Endogenous Ceramides in Rat Brain Tissue with Kinetic Calibration. Analytical chemistry, 92(9), 6613-6621. https://doi.org/10.1021/acs.analchem.0c00392
Xie, Y. R., Castro, D. C., Bell, S. E., Rubakhin, S., & Sweedler, J. V. (2020). Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning. Analytical chemistry, 92(13), 9338-9347. https://doi.org/10.1021/acs.analchem.0c01660