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High Throughput Measurements of Polymer Fluids for Formulations*

Published online by Cambridge University Press:  01 February 2011

Kathryn L. Beers ,
João T. Cabral ,
Howard J. Walls  and
Eric J. Amis
Kathryn L. Beers
Affiliation:
Polymers Division, National Institute of Standards and Technology Gaithersburg, MD 20899–8542, USA
João T. Cabral
Affiliation:
Polymers Division, National Institute of Standards and Technology Gaithersburg, MD 20899–8542, USA
Howard J. Walls
Affiliation:
Polymers Division, National Institute of Standards and Technology Gaithersburg, MD 20899–8542, USA
Eric J. Amis
Affiliation:
Polymers Division, National Institute of Standards and Technology Gaithersburg, MD 20899–8542, USA
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Abstract

Rapid prototyping of microfluidic handling devices has gained popularity due to the ability to quickly test and modify new design features several times in one day. At the NIST Combinatorial Methods Center (NCMC), we have modified common microfluidic fabrication techniques to extend their use to organic fluids. Ultraviolet (UV) curable adhesives were used to create molded resins with increased solvent resistance. This has allowed the preparation of new types of combinatorial libraries and development of new measurement methods to complement the small sample sizes of these libraries. Most importantly, it can be used to tie together multiple stages of the formulation process, from the synthesis of polymers to the measurement of complex-fluid properties, in small and inexpensive platforms. Our first demonstrations of this technology are in the areas of emulsions and polymer blends. Measurement techniques include light and x-ray scattering and rheology. Milli-fluidic handling and measurements will increase the dimensions of parameter space that are available to accurate and systematic study of polymer solutions. These capabilities will also enable the generation of new information in the field of polymer formulations, which is presently dominated by empirical knowledge.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 804: Symposium JJ – Combinatorial and Artificial Intelligence Methods in Materials Science II , 2003 , JJ7.4
Copyright
Copyright © Materials Research Society 2004

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Footnotes

*

Contribution of the National Institute of Standards and Technology, not subject to copyright in the United States.

References

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