4.6 Article

Rational design of silicon structures for optically controlled multiscale biointerfaces

Journal

NATURE BIOMEDICAL ENGINEERING
Volume 2, Issue 7, Pages 508-521

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41551-018-0230-1

Keywords

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Funding

  1. Air Force Office of Scientific Research [AFOSR FA9550-14-1-0175, FA9550-15-1-0285]
  2. National Science Foundation [DMR-1254637, DMR 1420709]
  3. Searle Scholars Foundation
  4. National Institutes of Health [NIH NS101488, NS061963]
  5. MRI-R2 grant from the National Science Foundation [DMR-0959470]
  6. Virginia and D. K. Ludwig Fund for Cancer Research via the Imaging Research Institute in the Biological Sciences Division
  7. University of Chicago Comprehensive Cancer Center
  8. NIH [P30 CA14599]
  9. Department of Radiology
  10. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [T32EB009412] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS061963, DP2NS101488] Funding Source: NIH RePORTER

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Silicon-based materials have been widely used in biological applications. However, remotely controlled and interconnect-free silicon configurations have been rarely explored, because of limited fundamental understanding of the complex physicochemical processes that occur at interfaces between silicon and biological materials. Here, we describe rational design principles, guided by biology, for establishing intracellular, intercellular and extracellular silicon-based interfaces, where the silicon and the biological targets have matched properties. We focused on light-induced processes at these interfaces, and developed a set of matrices to quantify and differentiate the capacitive, Faradaic and thermal outputs from about 30 different silicon materials in saline. We show that these interfaces are useful for the light-controlled non-genetic modulation of intracellular calcium dynamics, of cytoskeletal structures and transport, of cellular excitability, of neurotransmitter release from brain slices and of brain activity in vivo.

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