Abstract
Transmittance spectra (500 to 950 nm) and reflectance spectra (550 to 1700 nm) were analyzed to determine ifthey could be used to distinguish aflatoxin contamination in single whole corn kernels. Spectra were obtained on whole cornkernels exhibiting various levels of bright greenishyellow fluorescence. Afterwards, each kernel was analyzed for aflatoxinfollowing the USDAFGIS Aflatest affinity chromatography procedures. Spectra were analyzed using discriminant analysisand partial least squares regression. More than 95% of the kernels were correctly classified as containing either high(>100 ppb) or low (<10 ppb) levels of aflatoxin. Classification accuracy for kernels between 10 and 100 ppb was only about25%, but these kernels do not usually affect total sample concentrations and are not as important. Results were similar whenusing either transmittance or reflectance, and when using either discriminant analysis or partial least squares regression. Thetwofeature discriminant analysis of transmittance data gave the best results. However, for automated highspeed detectionand sorting, instrumentation that uses singlefeature reflectance spectra may be more practically implemented. Thistechnology should provide the corn industry with a valuable tool for rapidly detecting aflatoxin in corn.
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