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button  Structure-Property Relationships in Dental Polymers and Composites
     button  Nanocomposite Dental Materials
  button  Structure-Property Relationships of Hydrogels for Dental and Craniofacial Applications
  button  The Effect of an Organogelator on Bioactive Dental Composites
  button   High-throughput and combinatorial methods for measuring the mechanical properties of dental materials
button  Combinatorial Methods for Rapid Screening of Biomaterials
  button  High-throughput Method for Determining Young’s Modulus of Polymer Blends
  button  Inflammatory Cytokine Quantification of Cell-SCK Interactions via RT-PCR
  button  Peptide Derivatized SCK Nanoparticles
  button  Real-Time Polymerase Chain Reaction
  button  Gradient Library Screening of Cell-Material Interactions
  button  Surface Energy Gradients for Characterizing Cell-Material Interactions
  button  High-throughput Method for Characterizing Cell Response to Polymer Crystallinity
  button   Cellular Response to Bis-GMA/TEGDMA Vinyl Conversion Gradients
button  Metrologies for Tissue Scaffolds
  button  Focal Adhesions of Osteoblasts on Poly(d,l-lactide)/Poly(vinyl alcohol) Blends by Confocal Fluorescence Microscopy
  button   2D -->3D Cell / Scaffold Interactions
  button  Development of a Reference Scaffold
  button   In Vitro Cartilage Development
  button   Gene Expression Profiles of Cells in Response to Tyrosine Polycarbonate Blends
  button Broadband Coherent Anti-Stokes Raman Scattering (CARS) Microscopic Imaging
  button Collinear Optical Coherence and Confocal Fluorescence Microscopies
 

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Combinatorial Methods for Rapid Screening of Biomaterials

 

Introduction

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The goal of regenerative medicine is to use materials and signaling molecules to guide cells in repairing damaged tissue. The large parameter space that must be considered in developing these therapies makes combinatorial approaches attractive. Materials parameter spaces are particularly complex because both composition and processing variables have to be considered. We are developing gradient libraries – single samples containing a continuous variation in material parameter along one or two orthogonal directions – as a measurement tool for tissue engineering research.
 

Objective

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The goal of this project is to develop high-throughput and combinatorial methods for characterizing biomaterials and screening cell-material interactions. Quantification of cellular responses to biomaterials will provide response functions: structure-property relationships for tissue engineering.
 

NIST Approach

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tissue engineeringThe NIST Director has funded a Competence Award to develop the initiative in tissue engineering. In collaboration with the Biotechnology Division, we are developing combinatorial libraries to serve as reference materials (test patterns) and genetically engineered cells capable of fluorescently indicating their state in real time (indicator cells).

The two classes of biomaterials used in the development of combinatorial libraries are:
1. Polymers that represent currently used biomaterials such as polyolefins, polyesters, and polyacrylates. Important variables include roughness, surface energy, and modulus.
2. Biomimetic materials composed of synthetic polymers and biochemical functional groups such as peptides designed to interact with cell receptors. Important variables include functional group density and organization.

Combinatorial libraries can be used as reference materials to screen cell viability and phenotype by analyzing the patterns of cellular responses on the gradients. Indicator cells may be used to screen biomaterials and rapidly determine whether a given material will be capable of eliciting the necessary cellular responses.

 

Highlights

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Osteoblast proliferation on crystallinity gradients. Biomaterial Surface energy gradients Osteoblast responses to polyester blends.
Osteoblast proliferation on crystallinity gradients. Biomaterials, 2004; 25: 1215-1224.
Surface energy gradients.
Osteoblast responses to polyester blends.
Gradient library composition measurement using infrared microscopy. Peptide-polymer hybrids. JACS, 2004; 124: 3472-3476 Quantitative fluorescence microscopy.
Gradient library composition measurement using infrared microscopy. Peptide-polymer hybrids. JACS, 2004; 124: 3472-3476.
Quantitative fluorescence microscopy.
 

Customers

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FDA NIH center for biomaterials
 

NIST Contributors:

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Eric J. Amis
LeeAnn Bailey
Matthew L. Becker
Nancy Lin
Ying Mei
Carl G. Simon, Jr.
 

Collaborators:

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Kenneth M. Yamada
(NIH/NIDCR)
Richard Gross
(Polytechnic University)
Joachim Kohn
(Rutgers University)
 
 
 
 
 
 
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Biomaterials Group
Polymers Division
Materials Science and Engineering Laboratory

 
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