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№1 слайд
Содержание слайда: Nano-enabled Biological Tissues
By Bradly Alicea
http://www.msu.edu/~aliceabr/
Presented to PHY 913 (Nanotechnology and Nanosystems, Michigan State University). October, 2010.
№2 слайд
Содержание слайда: Nanoscale Technology Enables Complexity at Larger Scales…….
№3 слайд
Содержание слайда: Role of Scale (Size AND Organization)
№4 слайд
Содержание слайда: Ingredient I, Biomimetics/
Biocompatibility
Biomimetics: engineering design that mimics natural systems.
Nature has evolved things better
than humans can design them.
* can use biological materials (silks)
or structures (synapses).
Biocompatibility: materials that do not interfere with biological function.
* compliant materials used to
replace skin, connective tissues.
* non-toxic polymers used to
prevent inflammatory response
in implants.
№5 слайд
Содержание слайда: Artificial Skin, Two Approaches
№6 слайд
Содержание слайда: Artificial Skin – Response Characteristics
Results for stimulation of electronic skin:
Output signal from electronic skin, representation is close to pressure stimulus.
* only produces one class of sensory information (pressure, mechanical).
Q: does artificial skin replicate neural coding?
* patterned responses over time (rate-coding) may be possible.
* need local spatial information (specific to an area a few sensors wide).
* need for intelligent systems control theory at micro-, nano-scale.
№7 слайд
Содержание слайда: Silk as Substrate, Two Approaches
№8 слайд
Содержание слайда: Ingredient II, Flexible Electronics
Q: how do we incorporate the need for compliance in a device that requires electrical functionality?
* tissues need to bend, absorb externally-applied loads, conform to complex geometries, dissipate energy.
A: Flexible electronics (flexible polymer as a substrate).
№9 слайд
Содержание слайда: E-skin for Applications
Organic field effect transistors (OFETs):
* use polymers with semiconducting properties.
Thin-film Transistors (TFTs):
* semiconducting, dielectric layers and contacts on non-Si substrate
(e.g. LCD technology).
* in flexible electronics, substrate is a compliant material (skeleton for electronic array).
№10 слайд
Содержание слайда: Ingredient III, Nanopatterning
Q: how do we get cells in culture to form complex geometries?
№11 слайд
Содержание слайда: MWCNTs as Substrate for Neurons
Multi-Wall CNT substrate for HC neurons: Nano Letters, 5(6), 1107-1110 (2005).
№12 слайд
Содержание слайда: Bottom-up vs. Top-down Approaches
№13 слайд
Содержание слайда: Top-down approach: Electrospinning
Align nanofibers using electrostatic repulsion forces
(review, see Biomedical Materials, 3, 034002 - 2008).
Contact guidance theory:
Cells tend to migrate along orientations associated with chemical, structural, mechanical properties of substrate.
№14 слайд
Содержание слайда: Bottom-up approach: Molecular Self-assembly
Protein and peptide approaches commonly
used.
Protein approach – see review, Progress in
Materials Science, 53, 1101–1241 (2008).
№15 слайд
Содержание слайда: Additional Tools: Memristor
Memristor: information-processing device (memory + resistor, Si-based) at nanoscale.
* conductance incrementally modified by controlling change, demonstrates short-term potentiation (biological synapse-like).
№16 слайд
Содержание слайда: Additional Tools: Bioprinting
Bioprinting: inkjet printers can deposit layers on a substrate in patterned fashion.
* 3D printers (rapid prototypers) can produce a complex geometry (see Ferrari,
M., “BioMEMS and Biomedical Nanotechnology”, 2006).
№17 слайд
Содержание слайда: Conclusions
Nano can play a fundamental role in the formation of artificial tissues, especially when considering:
* emergent processes: in development, all tissues and organs emerge from a globe of stem cells.
* merging the sensory (electrical) and biomechanical (material properties) aspects of a tissue.
Advances in nanotechnology might also made within this problem domain.
* scaffold design requires detailed, small-scale substrates (for mechanical support, nutrient delivery).
* hybrid protein-carbon structures, or more exotic “biological” solutions (reaction-diffusion models, natural computing, Artificial Life)?