BRIMROSE TECHNOLOGY CORP — National Aeronautics and Space Administration STTR Phase I: T14

BRIMROSE TECHNOLOGY CORP — STTR Phase I award from National Aeronautics and Space Administration.

Phase I STTR feasibility signal

  • Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from National Aeronautics and Space Administration in a technical approach.
  • Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
  • Obligated amount $149,868. Cross-check similar awards in the same agency and technology tags for going-rate context.
  • Topic code T14 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.

Informational capture context from public federal data — not legal or bid advice.

Amount
$149,868
Agency
National Aeronautics and Space Administration
Program / Phase
STTR · Phase I
Topic
T14
Solicitation
STTR_23_P1
NAICS
Place of performance
MD
Period
2023-07-22 → 2024-09-02

Description

For lunar (expandable to Martian) ISRU applications, a novel small SWaP LIBS suite, Fast Elemental and Molecular Interrogation Sensor (FEMIS), is designed to provide real-time identification of geochemical composition of lunar regolith using an innovative elemental + molecular LIBS technology. Having rapid and intense signal responses, obviating the need to physically touch the surface in order to collect a sample for analysis, and affected very little by the surface shape, roughness, and composition irregularity, this proposed FEMIS instrument will be an integrated system with a small SWaP UV/Visible/NIR + LWIR LIBS laser detector suite to collect the broadband (both UV-Visible-NIR and long-wave IR) signals from the operational surface. nbsp;nbsp;FEMIS offers real-time identifications of elemental abundances, REEs, and regolith mineral/chemical composition within seconds without the need of preparing the abrasive lunar/Martian regolith samples. Spectral data processing algorithms and prediction models will be developed for FEMIS to achieve fully automated real-time sorting/mapping of lunar/Martian regolith resource with minimum maintenance.nbsp;