Award Data

Sample preparation has been recognized as the single most important challenge to be faced in the development of detect-to-warn (DTW) systems (NRC, 2005). Available commercial sample preparation technologies are expensive, slow (30 min to 2 hours) and require trained laboratory technicians for operation. Addressing this need, we propose to design, fabricate, demonstrate, and validate a novel integr ...

This Small Business Innovation Research (SBIR) Phase II project will research and develop a maskless lithography tool based on the results of the feasibility study. The company has a unique and proprietary approach to achieve higher throughput and lower cost than currently available maskless lithography tools. The approach will employ Line Light Modulator (LLM) to pattern wafers with a linear arra ...

This SBIR Phase I project will develop an evidence-based approach to maximize learning for K-12 students and predict learning outcomes. We propose to analyze data at multiple levels, including individual and group assessment data, and characteristics of the student, teacher, principal, and school. Using this data, we will categorize performance levels, determine the strengths and weaknesses of t ...

There is an acute need for a networked chemical sensor that is inexpensive enough to allow it to be treated as a disposable item - deployed and left in-place until the end of its useful life, or until operations move out of communications range. Electrochemical microarray sensors can be fabricated at low enough unit cost to make the development of a disposable sensor node feasible. These sensors ...

This Small Business Innovation Research (SBIR) Phase I project will develop a new process of low-temperature synthesis of aligned carbon nanotubes (CNTs) and nanofibers (CNFs). CNTs/CNFs are widely studied for manufacturing of novel nanomaterials and nanodevices. The prospects of this manufacturing are currently limited by the high (above 500 deg C) surface temperature during CNT/CNF synthesis, ...

We propose to develop a novel nanofluidic-based biosensor system that precisely detects and quantifies the biological threat agent. This handheld portable device will consume little power, be ruggedly constructed, use tiny sample volumes, and be UAV-mountable. No commercially available system uses the proposed technology. The proposed system will separate the genomic contents from a population ...

Current bioaerosol monitoring and evaluation systems are largely based on collection of airborne pathogens in a liquid medium, followed by the detection of the targets of interest. While available aerosol collection technologies employ large collection volumes, biosensors are capable of processing only a small fraction of the collection volume. Our overall objective is to design and demonstrate a ...

Our solution to the automated feature extraction problem will leverage the material properties that can be inferred from combining multispectral imagery with high resolution elevation data or LIDAR data using a trainable knowledge base. Multiple imaging bands provide a more complete picture of the material involved than ordinary RGB. This can help distinguish between a green grass lawn and a gre ...

This Small Business Innovation Research (SBIR) Phase I project will explore the feasibility of production of high-quality hydrogen in remote, outdoor locations using locally generated wind power and excess water from coal-bed methane (CBM) wells. After adapting wind survey data from several sources to a specific site in northeast Wyoming, the study will create a multivariate mathematical model to ...

This Small Technology Transfer Research (STTR) Phase I project aims to exploit a newly sequenced genome of a hyperthermophilic microorganism for the production of thermal stable enzymes that are useful for molecular engineering and industrial application. The targeted DNA coding regions can be prepared for recombinant protein expression without extended manipulations in restriction digest and liga ...