STTR Phase I: Non-contact Surface Plasmon Enhanced Electric Field Sensors

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0712224
Agency Tracking Number: 0712224
Amount: $149,964.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: EL
Solicitation Number: NSF 06-598
Small Business Information
ITN Energy Systems Inc
8130 SHAFFER PKWY, 6745 HOLLISTER AVENUE, LITTLETON, CO, 80127
DUNS: 040245305
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Russell Hollingsworth
 Dr
 (303) 285-5154
 rhollingsworth@itnes.com
Business Contact
 Joanne Galko
Title: PhD
Phone: (303) 285-5145
Email: jgalko@itnes.com
Research Institution
 Colorado School of Mines
 Reuden T Collins
 1500 Illinois
Golden, CO, 80401 1887
 (303) 273-3851
 Nonprofit college or university
Abstract
This Small Business Technology Transfer (STTR) Phase I research project will develop novel light weight, compact, non-contact electric field sensors for biomedical monitoring of low level signals. The sensors will utilize surface plasmon resonator structures fabricated on electro-optic materials such as lithium niobate. A single sensor will have a spatial resolution of a few microns, approaching the size of individual neurons, compared to the minimum several millimeters of existing contact sensors. Sensors can be interrogated using optical fibers for invasive research on brain activity, or grouped in arrays for clinical Electro-Encephalography (EEG) monitoring. This research will demonstrate the principle using a combination of fundamental modeling, test structure fabrication, and optical characterization with laboratory controlled electric fields. The proposed effort to make non-contact electric field sensors will provide a significant advancement in the state of the art in terms of sensitivity and spatial resolution. This would have an impact on brain research. The ease of use of non-contact sensors combined with the patient mobility provided by a wireless data link will make the package attractive for routine clinical brain monitoring.

* information listed above is at the time of submission.

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