Bioelectronics Bioelectronics l The emerging field of Bioelectronics
Bioelectronics
Bioelectronics l The emerging field of “Bioelectronics” seeks to exploit biology in conjunction with electronics in a wider context encompassing, for example, biomaterials for information processing, information storage, electronic components and actuators.
Bioelectronics l Biomolecules and biological cells can, moreover, be used as the building blocks of higher-level functional devices for recognition or sensing within biosensors. l Bioelectronics research also seeks to use biomolecules to perform the electronic functions that semiconductor devices currently perform.
Bioelectronics l Research activities in both of the following general domains can be distinguished: ¡Micro/Nano-electronics for Life-Sciences, i. e. how micro/nano electronic systems can help to solve important problems in life sciences. l. Examples include integrated devices for detection of cells, DNA, Proteins, and small molecules.
Bioelectronics ¡Life-Sciences for micro/nano electronic systems, i. e. how we can learn from nature to build micro and nano electronic devices. l. Examples include protein mediated electronic devices and neuro-electronic circuitries.
Bioelectronics l One example of a key aspect in bioelectronics research is the interface between biological and electronic materials. l A major challenge in bioelectronics is the patterning of functional components and the interfacing with electrical components.
Bioelectronic interfaces l In the past few years, substantial progress has been made in understanding the interactions between cells and electronic substrates. l Monitoring the electrochemical activity of living cells with electronic sensors represents an emerging technique ranging from basic research in neuroelectronics to various fields of pharmacological analyses.
Electrochemical monitoring in cells l The realization of this approach requires several steps: ¡development and fabrication of electronic devices for the low noise registration of cellular signals ¡development and fabrication of electronic devices for the stimulation of cells, and ¡the effective coupling between the cellular systems and the electronic devices as well as the control over the cellular connections
Electrochemical monitoring in cells l Patterning extracellular matrix proteins and structured surfaces enables the controlled and selective adhesion and growth of cells onto chips, and the realization and investigation of cellular networks of controlled complexity and geometry
Bioelectronic interfaces
NANO AND MICROTECHNOLOGIES OF HYBRID BIOELECTRONIC SYSTEMS
Cell Patterning Approaches • Direct protein lithography • Micro-contact printing/micro fluidics • Proteins • SAMs • Dry lithography • Patterned polymers • Temperature sensitive polymers • Nano-topography • Ordered nano-patterning • Disordered nano-patterning • Wells
Approaches (V) : Nanotopography l Ancient methods l Micro-methods ¡ Silicon pillars ¡ Silicon grass l Nano-methods ¡ Carbon nanotubes
Approaches (V) : Nanotopography Thermally grown Si. O 2 Resist Exposure, development RIE, CHF 3: oxide etch Photoresist removal RIE: Cl 2, BCl 3 Si etch HF: Oxide removal
Approaches (V) : Nanotopography http: //www. hgc. cornell. edu/neupostr/lrie. htm
Approaches (V) : Nanotopography http: //www. wadsworth. org/divisions/nervous/nanobio/DG 06. htm
Approaches (V) : Nanotopography RIE: Cl 2, CF 4, O 2 Photoresist Wet etching: HF, nitric acid, H 2 O Resist removal, Cleaning Craighead
Approaches (V) : Nanotopography LRM 55 Astroglial cells – prefer smooth surfaces Cortical astrocytes – Preferred rough surface
Culture of neural cells on silicon wafers with nano-scale surface topograph l Y. W. Fan et al, “Culture of neural cells on silicon wafers with nanoscale surface topograph” : l Si surfaces with variable roughness (without surface treatment) Morphology of adherent cells remarkably differs on differently rough surfaces
Cells and nanotopography l Cells respond to surface topography l The mechanisms involving cell adhesion and migration on surfaces is poorly understood l Extremely important in the field of tissue engineering and biomaterials l Important in lab-on a chip/micro bio-sensors
Cells React to Nanoscale Order and Symmetry in Their Surroundings A. S. G. Curtis*, N. Gadegaard, M. J. Dalby, M. O. Riehle, C. D. W. Wilkinson, and G. Aitchison
Methods Arrays of nano-pits were prepared in a three -step process: l Electron Beam Lithography l Nickel die fabrication l Hot embossing into polymers
Cell Cultures Primary human fibroblasts (connective tissue cells)/ rat epithenon cells were seeded on patterned PCL or PMMA 1. Short term experiments: measurements taken at intervals from 2 -24 hr 2. Long term experiments: cells cultured for up to 71 days
Human fibroblast cells grown on PCL Adhesion on spaced nanopatterened areas is much lower than on planar areas, but on the smallest closest spaced pits is the same as on the planar area! Rat epitenon cells grown on PCL surfaces for 24 h
Many cells possess surface nanometric features Filopodia and microspikes may be the organelle whose major function is to explore nanofeatures around the cell It is interesting to note that the filopodia follows the nanopattern, and seems to be directed by it
Reaction of cells to different symmetries l 1. 2. Cathrine C. Berry et al, “The influence of microscale topography on fibroblast attachment and motility”: fibroblasts were grown on arrays of pits, 7, 15 and 25 diameter, 20 and 40 mm spacing Cells “prefer” entering the larger diameter pits, meaning they might be sensitive to differences in radius of curvature The smallest pits allow the highest proliferation rate and the highest migration rate of a single cell
Orientation is nonrandom l On orthogonal patterns: cells show preference of 90° separated orientations l On hexagonal patterns: cells show preference of 120° separated orientations
l Fredrick Johansson et al, “Axonal outgrowth on nano-imprinted patterns” l Investigated guidance of axons on patterns of parallel grooves of PMMA, with depths of 300 nm, widths of 100 -400 nm and distance between grooves 100 -1600 nm. -axons display contact guidance on all patterns -preferred to grow on edges and elevations in the patterns rather than in grooves- this may be due to edge effects, as concentration of charges
How cells sense ORDER and SYMMETRY of surfaces? What makes cells adhere to surfaces? Why do differences in diameters and spacing of micro and nano features have such dramatic effect on cell adhesion?
Two possible explanations The effect is caused by the nonliving surfaces alone Nanofeatures are known to affect orientations in nonliving systems It is unknown whether nanofeatures affect protein adsorption on the nanoscale, (exposure to protein rich culture media- showed no difference) The effect is caused by interaction of cellular processes and interfacial forces
Types of nano-topography Ordered conducting grooves Ordered insulating grooves Perturbed ordered insulating grooves Nanofiber topography Random nano-topography insulating substrate Rough conducting substrate
Carbon nanotube based neurochips for engineering and recording of cultured neural networks
Recording from cultured neural networks Ben-Jacob, TAU Gross, UNT Bauman, URos Fromherz, MPI
Multi electrode arrays Large electrically active networks, Long term (weeks), Relevant biological activity BUT Large electrodes, Poor sealing, Average (many neurons) signal, Poor electrode-cell coupling, Random networks E. Ben-Jacob
Multi electrode arrays
l How can we make better/new MEA l How do we manipulate cells on substrates? l Properties of our new MEAs
Cell-substrate interactions Wong et al. Surface chemistry 2004
Nano-topography Craighead, Cornell Hu et al. Mattson et al. J. Mol. Neurosci 2000
Electronic properties (CNTs) zigzag armchair
Carbon nanotube multi-electrode arrays Carbon nanotubes § Biocompatible § Super capacitors § Compatibility with micro fabrication CNT electrodes § Self-cell-organization § Network engineering § Excellent recording
CNT based MEA Mo electrodes SOG passivation RIE etch PDMS stencil CNTs
Engineered Networks Tension competes with adhesion to surface
Neuronal tissue on CNT electrodes
Electrical activity (CNTs) Spontaneous electrical activity
Cell-surface interaction Mo electrode Craighead, Cornell
Summary l CNT are excellent substrates for neuronal growth l Self-organization of neurons l Engineered networks l Very good recording properties
Approaches (V) : Topography Peter Fromherz, Max Planck Institute
Approaches (V) : Topography Fromherz (http: //www. biochem. mpg. de/mnphys/)
CNT FET Bio-sensors
Approaches (V) : Topography
Approaches (V) : Topography
Approaches (VII) : Wells Pine, Caltech
Approaches (VII) : Wells Neuro-wells / neuro-cages Space for neurite growth
Approaches (VI) : Wells
Some technical areas of opportunity for bioelectronics 1. Real-time and massively parallel molecular and cellular characterization for systems biology 2. Biologically-based sensors and fabrication 3. Protection and restoration of health
Challenges l In order to achieve necessary innovations in moving bioelectronics forward, experts in government agencies, academic research institutions, and industry will need to be coordinated and brought to bear in overcome cross-cutting challenges that stem from the lack of technology, biological understanding or a combination of both.
Challenges l Cellular and biomolecular measurements and analyses l Fabrication l Device and material biocompatibility l Power sources
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