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Small Business Innovation Research (SBIR) & Small Business Technology Transfer (STTR) Program

SBIR


small business innovation research
seed money for high risk, high reward private sector ventures

BIOLOGICAL TECHNOLOGIES (BT)

Cognizant Program Director: Ruth Shuman, rshuman@nsf.gov

This page describes the subtopics under the topic area of Biological Technologies (BT) for the current NSF SBIR and STTR solicitations.

Return to the list of all topics HERE.

Start your application today for SBIR or STTR funding!

BT1. Agricultural and Food Safety Biotechnology
New approaches for meeting the world's future nutritional needs. For Agricultural Biotechnology, target areas for improvement may include (but are not limited to) drought tolerance, improved nutritional value, enhanced disease resistance, and higher yield. Proposers should give consideration to technologies that enhance biodiversity, produce less carbon dioxide, and use less water and fertilizer. For Food Safety, this may include handling, preparation, and storage of food in ways that prevent foodborne illness, as well as origins of food including the practices relating to food tracking, hygiene, additives, and certification systems.

BT2. Biosensors
Biosensors are sensors that contain a biologically-based sensing element. Proposed projects might include (but are not limited to) real-time sensors, microbial component-based sensors, sensors for monitoring fluxes of metabolites, nanobiotechnology-based sensors, biomedical sensors, and micro- or nanofluidic-based sensors. Application areas of interest may include (but are not limited to) toxicity testing, food safety, drug evaluation, environmental monitoring, and bio-prospecting. Other types of sensors should refer to the EI topic.

BT3. Life Sciences Research Tools
Developing novel technologies that will advance scientific research across the biological spectrum. This may include enabling technologies for drug discovery (high-throughput screening assays and platforms, and high-content screening assays and platforms; novel high-content screening technologies based on characterization of physical properties of cells are of high interest). Proposals should focus primarily on the development of innovative consumables, processes, and services where there is significant market opportunity.

BT4. Bioinstrumentation
The development of technology for novel or improved instrumentation primarily for biological research applications.

BT5. Synthetic Biology and Metabolic Engineering
Using synthetic biology to engineer novel biologically-based (or inspired) functions that do not exist in nature. Proposed projects may include creating new manufacturing capability by designing microorganisms, plants, and cell-free systems for the production of novel chemicals and biomolecules. Applications may include (but are not limited to) health-care products, food ingredients, chemicals, and other biomaterials such as enzymes and bio-based polymers.

BT6. Fermentation and Cell Culture Technologies
Proposed projects might include (but are not limited to) novel or improved microbial fermentation or mammalian and plant cell culture technologies, bioreactors, processes, scale-up, development of expression platforms, and purification. This may include technology development for pilot and large scale manufacturing of biopharmaceutical and other products.

BT7. Computational Biology and Bioinformatics
Developing and applying computationally intensive techniques (e.g., pattern recognition data mining, machine learning algorithms, and visualization) and may include (but are not limited to) sequence alignment, gene finding, genome assembly, drug design, drug discovery, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, genome-wide association studies, and the modeling of evolution. Proposed projects might include the creation and advancement of databases, algorithms, computational and statistical techniques, and theory to solve problems arising from the management and analysis of biological data.

 

 

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