SBIR/STTR Research Award

Spatial Excitation Emission Matrix Spectroscopy instrument (SEEMs)

Award identifier 537f8c2820068b5d9703f09ca7b61bf646b0101c3ca388f1aebdee9346694b0fAwarding agency Department of Energy

Award amount

$249,586

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Impossible Sensing LLC
Proposal award date
2021-02-22
Contract end date
2021-11-21
UEI
EMH4NF61CHY5
Solicitation number
Not reported
Topic code
32a

Research abstract

Monitoring and improving the health and quality of soil is a major concern in the agriculture and biofuel industries and the most useful indicator of soil health organic matter content. Thus, measurement of soil organic matter is critical to increasing crop yields while mitigating the environmental impacts of food and biofuel feedstock production. Current methods require growers to rely on costly and time-consuming sampling and laboratory analyses to assess organic matter and overall soil health. We will develop a durable, lightweight bioimager for quantitative and qualitative analysis of organic matter. This technology will perform real-time, non-destructive, and easily interpretable assessments of soil organic matter in the field. Our innovation can also be configured for attachment to most standard microscopes for complimentary micron-scale imaging. In Phase I we will demonstrate the performance of our organic matter bioimager concept, determine requirements for a commercial imager, and design and optimized an engineering model suitable for Phase II incorporation with robotics systems and on-site field testing. These Phase I efforts are supported by two Ag-Tech and Bio-Tech companies who participate in our R/R&D and business development. Cost-effective and fieldable imagers such as these will [1] provide real-time onsite assessment of soil organic matter quality and quantity; [2] capture spatiotemporal variation and flux within soils in relation to plant roots, soil layers, or other features; [3] provide on-board analysis that generates easily interpretable data and imagery. We estimate cumulative sales net revenues of $115m during the first 10 years of commercialization. The key metrics of our financial model were derived by testing our hypotheses with our customers and partners.

Technology keywords

Not reported

Other awards by this recipient

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Agency intelligence

Department of Energy

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