Progress 10/01/08 to 09/30/09
Outputs
Progress Report Objectives (from AD-416) Identify and quantify aflatoxin-producing fungi on corn, using a non- destructive hyperspectral imaging system. Produce spectral libraries for fungus alone and in infected corn. Determine spectral differences between different corn varieties, resistant and susceptible to aflatoxin contamination and infected and un-infected with aflatoxin producing fungi. Develop rapid, non-destructive hyperspectral imaging methodology to measure fungal growth and aflatoxin in corn kernels and spectral signatures associated with traits for resistance to fungal infection and aflatoxin contamination in corn kernels. Test system's effectiveness in laboratory and field situations. Approach (from AD-416) Corn kernel varieties with varying levels of resistance to aflatoxin producing fungi will be collected and imaged using a tabletop hyperspectral scanning imaging system. Kernels will be spectrally analyzed to determine how much the UV, visible, and near infrared portions of the electromagnetic spectrum differ from one corn variety to another. Cultures of aflatoxin producing and non-producing fungi will also be imaged and the spectral fingerprints will be collected to produce a "spectral library" of the different strains of fungi. These data will be used to determine if hyperspectral imaging can then be used to differentiate and quantitate the varying fungal strains and/or their aflatoxin production both in pure fungal culture and in fungally infected kernels from corn varieties either resistant or susceptible to aflatoxin contamination. Techniques also will be investigated during ongoing experiments to determine the best imaging environment in which to accomplish hyperspectral analyses, such as type and direction of lighting. Once appropriate algorithms are developed, the system will be tested in various laboratory and field experiments to determine the efficacy of the system. Significant Activities that Support Special Target Populations A patent application has been filed for a new algorithm (mathematical analysis) that is associated with aflatoxin. This algorithm is the basis for the development of a new prototype hyperspectral (uses several wavelengths of light spectrum simultaneously) instrument, presently being constructed that will employ this technology at grain inspection sites for more advanced testing of commodities affected with fungi or aflatoxin. Hyperspectral imaging technology has demonstrated the ability to differentiate corn-based biochemical differences. Knowledge of biochemical differences between corn lines and their relationship to certain phenotypes (classification based on appearance), along with the continuation of hyperspectral studies, should enhance the development of spectral correlations with specific biochemical factors. Research progress was monitored through site visits, phone calls, emails, and reports.
Impacts
(N/A)
Publications
|
|