Mississippi State University

The Institute for Technology Development

Haibo Yao

Thomas E Cleveland

Zuzana Hruska

Russell D Kincaid

Robert L Brown

A system and method for fluorescence spectral imaging of target material to detect the presence of a contaminant (such as aflatoxin in corn) is provided. An ultraviolet light source is coupled with a light-excluding compartment. The fluorescence from the UV excited target passes through a filter (liquid crystal tunable, acoustic-optic tunable, a filter wheel, or other wavelength splitting device) and a lens, to a spectral imaging camera. Fluorescence spectral image data from the camera are analyzed by a computer and presented in human-readable form. Aflatoxin detection in contaminated corn kernels is based on peak fluorescence and peak fluorescence shift in the spectral range from 451 nm to 500 nm. Aflatoxin contamination level within the target material is quantified based on peak fluorescence and peak fluorescence shift and computed corn kernel pixel statistics.

Method and detection system for detection of aflatoxin in corn with fluorescence spectra

A spectroscopy system for high-accuracy, highly automated spectral imaging of a target is provided. Video and spectrometry information are obtained via an integrated video, spectrometry and distance sensing platform and processed by a computer. The processed video and spectrometry information are presented in real-time on an integrated display, with a graphical representation of the actual ground instantaneous field of view of the spectrometer sensor overlaid directly onto the video image of the target to provide real-time target aiming information, thus enabling the operator to rapidly optimize spectral data acquisition.

Growing community of inventors

Slidell, LA, United States of America

Haibo Yao