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STTR Phase I: Algorithmic Mid-Infrared Spectroscope Utilizing Narrow-Band, Epsilon-Near-Zero Thermal Emitters

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 2014798
Agency Tracking Number: 2014798
Amount: $224,969.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: IH
Solicitation Number: N/A
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-06-01
Award End Date (Contract End Date): 2020-11-30
Small Business Information
310 S HARRINGTON ST
RALEIGH, NC 27603
United States
DUNS: 080132824
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Edward Sachet
 (919) 397-2032
 esachet@thirdfloormaterials.com
Business Contact
 Edward Sachet
Phone: (919) 397-2032
Email: esachet@thirdfloormaterials.com
Research Institution
 Vanderbilt University
 Joshua D Caldwell
 
Sponsored Programs Administratio PMB 407749 2301 Vanderbilt Place
Nashville, TN 37235
United States

 Nonprofit College or University
Abstract

The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project will advance the development of a new method to conduct infrared spectroscopy, an important tool in the life sciences, materials development and pharmaceutical industries. Chemical producers will spend an estimated $140 million on analytical instrumentation in 2020. The instrument concept is based on human vision, which can deduce roughly 10 million colors from the signals extracted from just three types of light-sensitive cones that have overlapping sensitivity to measure color combinations. The proposed solution uses the same architecture, replacing multiple instruments with a single device. This SBIR Phase I project will advance the translation of an algorithmic spectroscopy tool. Utilizing newly available thermal emitter technology with tunable center emission frequency across the infrared (2-10 microns wavelength), the program will demonstrate that spectroscopic information can be recovered algorithmically from a series of non-dispersive absorption measurements. The technology uses the human vision system as a model and pairs multiple emitters with overlapping emission spectra with low-cost, non-dispersive infrared detectors, such as thermopiles. The proposed solution will develop an algorithmic spectroscopy solution at a frequency range of 3800-2100 cm-1 by demonstrating sensitivity to the characteristic CO2 absorption bands and algorithmically reconstructing the CO2 spectrum. Successful completion of the proposed effort will establish the benchmarks for a new infrared spectroscopy technology that operates without costly dispersive elements or moving parts. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

* Information listed above is at the time of submission. *

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