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6 January 1995 Assessment of the quality of durum wheat products by spectrofluorometry and fluorescence video image analysis
Bruno Novales, Joel Abecassis, Dominique Bertrand, Marie-Francoise Devaux, Paul Robert
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Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198865
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
Because assessment of Durum wheat semolina purity by standard ash-test has been widely criticized, we attempted to characterize products of a semolina mill by spectrofluorometry and fluorescence imaging. A collection of milled wheat products ranging from very pure semolina to brans were chosen for this study. Multidimensional statistical analyses (Principal component analyses) were applied to the spectral and image data. Maps showing a classification of the products according to purity were obtained without biochemical calibration. Principal component regression was applied to the data in order to test the relationship of aleurone fluorescence to ash content. Both spectrofluorometry and fluorescence imaging gave similar results with good determination coefficients (r2 equals 0.97 and 0.92) for the study of a single wheat variety. Products obtained from different wheat varieties were more difficult to compare.
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Bruno Novales, Joel Abecassis, Dominique Bertrand, Marie-Francoise Devaux, and Paul Robert "Assessment of the quality of durum wheat products by spectrofluorometry and fluorescence video image analysis", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198865
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KEYWORDS
Luminescence
Video
Image analysis
Minerals
Principal component analysis
Image processing
Statistical analysis
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