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首页> 外文期刊>Food science and technology research >Fluorescence Fingerprint Imaging of Gluten and Starch in Wheat Flour Dough with Consideration of Total Constituent Ratio
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Fluorescence Fingerprint Imaging of Gluten and Starch in Wheat Flour Dough with Consideration of Total Constituent Ratio

机译:考虑总成分比的小麦粉面团中麸质和淀粉的荧光指纹成像

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摘要

An imaging method using fluorescence fingerprints (FFs) for visualizing the distribution of gluten and starch in dough without any staining was developed. Wheat flour dough was mixed up to three stages, i.e., under-mixing, optimum-mixing, and over-mixing, and thin sections of the doughs were prepared with a cryotome. Fluorescence images of the sections were acquired in 63 combinations of excitation and emission wavelengths, thereby constructing the FFs of the constituents at each pixel. The cosine similarity between the FFs of each pixel and the FF of pure gluten were calculated and pixels were arranged in order of cosine similarity. Pixels with higher values of cosine similarity were categorized as "gluten" and the rest as "nongluten". The number of pixels categorized as "gluten" was based on the overall ratio of gluten in the dough. The same process was performed with the FF of pure starch, and all pixels were divided into "starch" and "nonstarch". Colors were assigned to each division, and the distributions of gluten and starch were visualized. Changes in the distributions of gluten and starch were observed at the over-mixing stage, which suggested the breaking up of gluten and the alteration of gluten and starch.
机译:开发了一种使用荧光指纹(FFs)的可视化方法,以可视化面筋和淀粉在面团中的分布,而没有任何染色。将小麦粉面团最多混合三个阶段,即未充分混合,最佳混合和过度混合,并用冷冻切片机将面团切成薄片。以63种激发和发射波长的组合获取截面的荧光图像,从而在每个像素处构建成分的FF。计算每个像素的FF与纯面筋的FF之间的余弦相似度,并按余弦相似度顺序排列像素。余弦相似度值较高的像素归类为“面筋”,其余归类为“非面筋”。分类为“面筋”的像素数基于面团中面筋的总比例。对纯淀粉FF进行相同的处理,并将所有像素分为“淀粉”和“非淀粉”。将颜色分配给每个分区,并显示面筋和淀粉的分布。在过度混合阶段观察到面筋和淀粉分布的变化,这表明面筋分解和面筋和淀粉的改变。

著录项

  • 来源
    《Food science and technology research》 |2013年第6期|933-938|共6页
  • 作者单位

    Research Fellow of Japan Society for the Promotion of Science,Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan;

    Food Engineering Division, National Food Research Institute, National Agriculture and Food Research Organization,2-l-12 Kan-nondai,Tsukuba, Ibaraki 305-8642, Japan;

    Food Engineering Division, National Food Research Institute, National Agriculture and Food Research Organization,2-l-12 Kan-nondai,Tsukuba, Ibaraki 305-8642, Japan;

    Food Engineering Division, National Food Research Institute, National Agriculture and Food Research Organization,2-l-12 Kan-nondai,Tsukuba, Ibaraki 305-8642, Japan;

    Food Engineering Division, National Food Research Institute, National Agriculture and Food Research Organization,2-l-12 Kan-nondai,Tsukuba, Ibaraki 305-8642, Japan;

    Food Engineering Division, National Food Research Institute, National Agriculture and Food Research Organization,2-l-12 Kan-nondai,Tsukuba, Ibaraki 305-8642, Japan;

    Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan;

    Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan,Food Engineering Division, National Food Research Institute, National Agriculture and Food Research Organization,2-l-12 Kan-nondai,Tsukuba, Ibaraki 305-8642, Japan;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    excitation-emission matrix; imaging; autofluorescence; cosine similarity;

    机译:激发发射矩阵成像自发荧光余弦相似度;

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