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DCフィールド | 値 | 言語 |
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dc.contributor.author | Ogawa, Takenobu | en |
dc.contributor.author | Matsumura, Yasuki | en |
dc.contributor.alternative | 小川, 剛伸 | ja |
dc.contributor.alternative | 松村, 康生 | ja |
dc.date.accessioned | 2022-10-03T07:02:01Z | - |
dc.date.available | 2022-10-03T07:02:01Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://hdl.handle.net/2433/276521 | - |
dc.description.abstract | Gluten, which makes up 85% of endosperm wheat protein, is considered a crucial quality determinant of wheat-based food products. During wheat dough manufacture, the molecular packing of gluten causes formation of large structures that exceed the millimetre scale. However, due to lack of imaging techniques for complex systems composed of giant macromolecules, the entire gluten structure remains unknown. Here, we develop an optical clearing reagent (termed SoROCS) that makes wheat-based products transparent. Combined with two-photon microscopy, we image the three-dimensional (3D) structure of gluten at the size in the millimetre scale and at submicron resolution. Further, we demonstrate how the 3D structure of gluten dramatically changes from a honeycomb-shaped network to sparse large clumps in wheat noodles, depending on the salt added during dough making, thereby reducing stress when compressing the noodle. Moreover, we show that SoROCS can be used for noodle imaging using confocal laser scanning microscopy. | en |
dc.language.iso | eng | - |
dc.publisher | Springer Nature | en |
dc.rights | © The Author(s) 2021 | en |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | Fluorescence imaging | en |
dc.subject | Proteins | en |
dc.title | Revealing 3D structure of gluten in wheat dough by optical clearing imaging | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Nature Communications | en |
dc.identifier.volume | 12 | - |
dc.relation.doi | 10.1038/s41467-021-22019-0 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 1708 | - |
dc.identifier.pmid | 33731714 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 14J02443 | - |
datacite.awardNumber | 18K14421 | - |
datacite.awardNumber | 16H06280 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-14J02443/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K14421/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16H06280/ | - |
dc.identifier.eissn | 2041-1723 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.awardTitle | パスタ中での水分の移動機構の解明に基づく高品質な乾燥食品の新規製造指針 | ja |
jpcoar.awardTitle | 食品の品質推定における人工知能の活用 --食感と抗肥満性の予測-- | ja |
jpcoar.awardTitle | 先端バイオイメージング支援プラットフォーム | ja |
出現コレクション: | 学術雑誌掲載論文等 |

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