Stochastic electrotransport selectively enhances the transport of highly electromobile molecules
Author(s)
Keller, Philipp J.; Kim, Sung-Yon; Cho, Jae Hun; Murray, Evan; Bakh, Naveed Ali; Choi, Heejin; Ohn, Kimberly; Ruelas, Luzdary T.; Hubbert, Austin W.; McCue, Margaret Grace; Ling, Sara Lynn; Chung, Kwanghun; ... Show more Show less
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Nondestructive chemical processing of porous samples such as fixed biological tissues typically relies on molecular diffusion. Diffusion into a porous structure is a slow process that significantly delays completion of chemical processing. Here, we present a novel electrokinetic method termed stochastic electrotransport for rapid nondestructive processing of porous samples. This method uses a rotational electric field to selectively disperse highly electromobile molecules throughout a porous sample without displacing the low-electromobility molecules that constitute the sample. Using computational models, we show that stochastic electrotransport can rapidly disperse electromobile molecules in a porous medium. We apply this method to completely clear mouse organs within 1–3 days and to stain them with nuclear dyes, proteins, and antibodies within 1 day. Our results demonstrate the potential of stochastic electrotransport to process large and dense tissue samples that were previously infeasible in time when relying on diffusion.
Date issued
2015-11Department
Institute for Medical Engineering and Science; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Massachusetts Institute of Technology. Department of Chemical Engineering; Picower Institute for Learning and MemoryJournal
Proceedings of the National Academy of Sciences of the United States of America
Publisher
National Academy of Sciences (U.S.)
Citation
Kim, Sung-Yon, Jae Hun Cho, Evan Murray, Naveed Bakh, Heejin Choi, Kimberly Ohn, Luzdary Ruelas, et al. “Stochastic Electrotransport Selectively Enhances the Transport of Highly Electromobile Molecules.” Proc Natl Acad Sci USA 112, no. 46 (November 2, 2015): E6274–E6283. © 2015 National Academy of Sciences
Version: Final published version
ISSN
0027-8424
1091-6490