SBIR/STTR Research Award

An Ultra-Sensitive Detector for On-Line Measurement of Volatile Molecules Produced by Diseased Potato Tubers

Award identifier 625a527782eb5ea3488c49722f471bf6ef1f78043e2f88ce797405fd86e74322Awarding agency Department of Agriculture

Award amount

$64,384

Program and phase

SBIR · Phase I

Award year

2004

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Award details

Awarding agency
Department of Agriculture
Branch
Not reported
Recipient company
Insightek
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Diseased potato tubers in storage produce volatile organic chemicals that can be used as an indicator of the type and quantity of disease in the storage facility. By measuring the concentration of such volatile molecules, disease formation can be detected at an early stage, thereby providing an opportunity to avoid widespread damage to the crop. The more sensitive the detector of the specific molecules the better the protection capability. Furthermore, since some diseases can spread very rapidly, collecting samples and performing off-line analysis will significantly degrade the protection capability of the detection system. This SBIR project will demonstrate the feasibility of a novel concept for ultra sensitive detection and identification of a broad range of molecular species. This concept will serve as the foundation for a new generation of diagnostic tools for specific and sensitive detection of organic molecules produced by diseases in stored potatoes. The innovation consists of a molecular based sample conditioning system coupled to an ion mobility spectrometer (IMS). The sample conditioning system will serve to block background compounds from interfering with the detection of trace amounts of organic molecules produced by disease pathogens. The result is a molecular detection system that possesses the above performance features needed to successfully protect stored potatoes.

Technology keywords

Not reported

Agency intelligence

Department of Agriculture

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