SBIR/STTR Research Award

SBIR Phase II: Ultra Permeable Carbon Nanotube Membranes for Forward Osmosis

Award identifier 6b551c12ec43b9ac9dfe967b4532d23a92f17f18bbb30a4f9f26173ac04d07adAwarding agency National Science Foundation

Award amount

$499,710

Program and phase

SBIR · Phase II

Award year

2011

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
PORIFERA, INC.
Proposal award date
2011-04-01
Contract end date
2013-03-31
UEI
ZUYHMWHK2QD3
Solicitation number
Not reported
Topic code
Phase II

Research abstract

This Small Business Innovation Research (SBIR) Phase II project will take advantage of the unique properties of carbon-nanotube (CNT) pores to develop membranes that are specifically tailored for forward osmosis (FO) applications. FO processes have a number of advantages over evaporation and pressure-driven membrane processes: low energy cost, low mechanical stresses, and high product concentration. The main problem impeding the widespread use of FO remains the lack of robust optimized FO membranes. CNT membranes are ideal for FO applications as they offer improvements in all relevant membrane characteristics: (1) improved structural integrity; (2) high permeability; (3) robust chemical stability; and (4) low fouling propensity. Most importantly, CNT membranes can be fabricated with sufficient structural support in the active layer to operate with only minimal external reinforcement, which minimizes concentration polarization losses. This project builds on the fabrication and functionalization approaches developed in Phase I, and applies them on a larger scale to achieve the objective of developing membranes with fast flow and high selectivity at reasonable production costs. Performance of the membranes will be benchmarked using laboratory tests that simulate real-world applications. This project will deliver an innovative FO membrane platform that exhibits superior performance and stability in FO applications. The broader impact/commercial potential of this project will be to enable a variety of green technologies such as renewable power generation, wastewater reuse, and energy-efficient desalination. Although FO-based processes are extremely energy efficient, their commercial use has been hampered by the lack of high performance FO membranes. This project should produce two main outcomes. First, it would deliver a solid technical foundation for developing a novel FO membrane platform that would provide a superior commercial alternative to existing FO membrane architectures. Second, the performance advantages of the CNT membranes would open up several applications for commercial development.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

9 SBIR/STTR records share this UEI (2009–2018). Reported award amounts total $3,366,963. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Energy, National Aeronautics and Space Administration

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.