Nanotechnology Project

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Inventories

Environment, Health and Safety Research

NER: Novel, High Throughput Continuous Nanoparticle Classifier (CNC)

Project Information

Principal InvestigatorRajiv Singh
InstitutionUniversity of Florida
Project URLView
Relevance to ImplicationsSome
Class of NanomaterialEngineered Nanomaterials
Impact SectorCross-cutting
Broad Research Categories Characterization
NNI identifier

Funding Information

CountryUSA
Anticipated Total Funding$70,000.00
Annual Funding$70,000.00
Funding SourceNSF
Funding MechanismExtramural
Funding SectorGovernment
Start Year2002
Anticipated End Year2003

Abstract/Summary

Traditional methods of particle classification such as ultrasonic sieves and cyclones do not operate in the submicron range. The PI proposes deelopment of a novel method for particle size classification in the nanoscale range. The method is based on simultaneous application of pulsed and continuous DC electric fields on charged metallic particles in non-acqueous suspensions. In this setup, continuous DC fields are applied in the vertical direction, while pulsed DC field is applied in the horizontal direction. because of the difference in the electrophoretic response of charged particles to pulsed and continuous fields, the particle velocity field will be dependent on the particle size. This principle is used to classify submicron size particles.