Paper
2 June 2011 Development of narrow-band fluorescence index for the detection of aflatoxin contaminated corn
Haibo Yao, Zuzana Hruska, Russell Kincaid, Ambrose Ononye, Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland
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Abstract
Aflatoxin is produced by the fungus Aspergillus flavus when the fungus invades developing corn kernels. Because of its potent toxicity, the levels of aflatoxin are regulated by the Food and Drug Administration (FDA) in the US, allowing 20 ppb (parts per billion) limits in food, and feed intended for interstate commerce. Currently, aflatoxin detection and quantification methods are based on analytical tests. These tests require the destruction of samples, can be costly and time consuming, and often rely on less than desirable sampling techniques. Thus, the ability to detect aflatoxin in a rapid, non-invasive way is crucial to the corn industry in particular. This paper described how narrow-band fluorescence indices were developed for aflatoxin contamination detection based on single corn kernel samples. The indices were based on two bands extracted from full wavelength fluorescence hyperspectral imagery. The two band results were later applied to two large sample experiments with 25 g and 1 kg of corn per sample. The detection accuracies were 85% and 95% when 100 ppb threshold was used. Since the data acquisition period is significantly lower for several image bands than for full wavelength hyperspectral data, this study would be helpful in the development of real-time detection instrumentation for the corn industry.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haibo Yao, Zuzana Hruska, Russell Kincaid, Ambrose Ononye, Robert L. Brown, Deepak Bhatnagar, and Thomas E. Cleveland "Development of narrow-band fluorescence index for the detection of aflatoxin contaminated corn", Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 80270D (2 June 2011); https://doi.org/10.1117/12.884400
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Cited by 3 scholarly publications.
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KEYWORDS
Luminescence

Imaging systems

Contamination

Data acquisition

Hyperspectral systems

Hyperspectral imaging

Chemical analysis

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