Award Abstract #0210534
NER: Novel, High Throughput Continuous Nanoparticle Classifier (CNC)

NSF Org:	CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems
Initial Amendment Date:	August 14, 2002
Latest Amendment Date:	August 14, 2002
Award Number:	0210534
Award Instrument:	Standard Grant
Program Manager:	Cyrus K. Aidun CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems ENG Directorate for Engineering
Start Date:	August 15, 2002
Expires:	July 31, 2003 (Estimated)
Awarded Amount to Date:	$70000
Investigator(s):	Rajiv Singh rsing@mse.ufl.edu (Principal Investigator)
Sponsor:	University of Florida 1 UNIVERSITY OF FLORIDA GAINESVILLE, FL 32611 352/392-3516
NSF Program(s):	BIOMEDICAL ENGINEERING, PARTICULATE &MULTIPHASE PROCES
Field Application(s):	0308000 Industrial Technology
Program Reference Code(s):	OTHR, MANU, 9147, 0000
Program Element Code(s):	5345, 1415

ABSTRACT

Proposal No. CTS-0210534



Principal Investigator: Rajiv K. Singh

U Florida, Gainesville

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.

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