Viscoelastic surface electrode arrays to interface with viscoelastic tissues

Living tissues are non-linearly elastic materials that exhibit viscoelasticity and plasticity. Man-made, implantable bioelectronic arrays mainly rely on rigid or elastic encapsulation materials and stiff films of ductile metals that can be manipulated with microscopic precision to offer reliable electrical properties. In this study, we have engineered a surface microelectrode array that replaces the traditional encapsulation and conductive components with viscoelastic materials. Our array overcomes previous limitations in matching the stiffness and relaxation behaviour of soft biological tissues by using hydrogels as the outer layers. We have introduced a hydrogel-based conductor made from an ionically conductive alginate matrix enhanced with carbon nanomaterials, which provide electrical percolation even at low loading fractions. Our combination of conducting and insulating viscoelastic materials, with top-down manufacturing, allows for the fabrication of electrode arrays compatible with standard electrophysiology platforms. Our arrays intimately conform to the convoluted surface of the heart or brain cortex and offer promising bioengineering applications for recording and stimulation.
This work was supported in part by the Center for Nanoscale Systems at Harvard University, which is a member of the National Nanotechnology Infrastructure Network, which is supported by the National Science Foundation under award no. 1541959. We thank the Weitz lab for the use of their rheometer, which is funded by the Materials Research Science and Engineering Center of Harvard University under National Science Foundation award no. DMR 14-20570. This work was supported by an NSF GRFP to C.M.T., as well as funding for C.M.T. through an NIH grant awarded to D.J.M. (RO1DE013033), NSF MRSEC award DMR 14-20570 and funding by the Wyss Institute for Biologically Inspired Engineering at Harvard University. I.d.L. was supported by the National Cancer Institute of the National Institutes of Health under award no. U01CA214369. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. H.W. gratefully acknowledges funding support from the Wyss Technology Development Fellowship. B.R.S. is supported by the National Institute of Dental and Craniofacial Research (R01DE013349) and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD086843). A.E.-A. received funding for this work from the European Union’s Horizon 2020 research and innovation programme through a Marie Sklodowska-Curie grant agreement no. 798504 (MECHANOSITY). K.K., C.C. and Y.S. were mainly funded by the EPSRC Programme Grant 2D-Health (EP/P00119X/1). C.C. acknowledges support by the EPSRC (EP/N010345/1). N.V., A.T., F.F. and S.P.L. were funded by the Bertarelli Foundation, the Wyss Center Geneva and SNSF Sinergia grant no. CRSII5_183519