Bioscience, Biotechnology, and Biochemistry
Online ISSN : 1347-6947
Print ISSN : 0916-8451
Food & Nutrition Science Regular Papers
Visualization of Gluten and Starch Distributions in Dough by Fluorescence Fingerprint Imaging
Mito KOKAWAKaori FUJITAJunichi SUGIYAMAMizuki TSUTAMario SHIBATATetsuya ARAKIHiroshi NABETANI
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JOURNALS FREE ACCESS

2011 Volume 75 Issue 11 Pages 2112-2118

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Abstract

A novel method combining imaging techniques and fluorescence fingerprint (FF) data measurement was developed to visualize the distributions of gluten and starch in dough without any preprocessing. Fluorescence images of thin sections of gluten, starch, and dough were acquired under 63 different combinations of excitation and emission wavelengths, resulting in a set of data consisting of the FF data for each pixel. Cosine similarity values between the FF of each pixel in the dough and those of gluten and starch were calculated. Each pixel was colored according to the cosine similarity value to obtain a pseudo-color image showing the distributions of gluten and starch. The dough sample was then fluorescently stained for gluten and starch. The stained image showed patterns similar to the pseudo-color FF image, validating the effectiveness of the FF imaging method. The method proved to be a powerful visualization tool, applicable in fields other than food technology.

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© 2011 by Japan Society for Bioscience, Biotechnology, and Agrochemistry
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