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Cited by 252Proteins in Food SystemsProtein Interaction Studies and Fluorescence AnalysisProtein Hydrolysis and Bioactive Peptides

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Protein–polyphenol interactions enhance the antioxidant capacity of phenolics: analysis of rice glutelin–procyanidin dimer interactions

Dai, Taotao, Chen, Jun, McClements, David Julian, Hu, Peng, Ye, Xiaoqin, Liu, Chengmei, Li, Ti·2019·Food & Function
DOI 10.1039/c8fo02246a
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Abstract

Rice glutelin and procyanidins are often used in functional foods as sources of plant-based proteins and polyphenols, respectively, but little is currently known about the interactions between them.

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Research works printed but not linked: 41

  1. Ravindranathan, 2018, Carcinogenesis, 39, 767, 10.1093/carcin/bgy034 · DOI
  2. Rue, 2018, Phytochem. Rev., 17, 1, 10.1007/s11101-017-9507-3 · DOI
  3. Ravindranathan, 2018, Sci. Rep., 8, 13869, 10.1038/s41598-018-32267-8 · DOI
  4. Yang, 2017, Sci. Rep., 7, 62, 10.1038/s41598-017-00108-9 · DOI
  5. Blade, 2016, Biofactors, 42, 5, 10.1002/biof.1249 · DOI
  6. Liu, 2017, Food Hydrocolloids, 73, 74, 10.1016/j.foodhyd.2017.06.036 · DOI
  7. Zhou, 2017, Food Sci. Technol. Res., 23, 329, 10.3136/fstr.23.329 · DOI
  8. Xu, 2015, Eur. Food Res. Technol., 240, 707, 10.1007/s00217-014-2375-9 · DOI
  9. Grace, 2013, J. Agric. Food Chem., 61, 6856, 10.1021/jf401627m · DOI
  10. Ulrih, 2017, Crit. Rev. Food Sci. Nutr., 57, 2144, 10.1080/10408398.2015.1052040 · DOI
  11. Jakobek, 2015, Food Chem., 175, 556, 10.1016/j.foodchem.2014.12.013 · DOI
  12. Chalvon-Demersay, 2017, J. Nutr., 147, 281, 10.3945/jn.117.250803 · DOI
  13. Day, 2013, Trends Food Sci. Technol., 32, 25, 10.1016/j.tifs.2013.05.005 · DOI
  14. Zhao, 2012, Food Chem., 134, 1360, 10.1016/j.foodchem.2012.03.033 · DOI
  15. Amagliani, 2017, Trends Food Sci. Technol., 64, 1, 10.1016/j.tifs.2017.01.008 · DOI
  16. Wang, 2016, Food Chem., 194, 272, 10.1016/j.foodchem.2015.08.006 · DOI
  17. Shi, 2017, Food Res. Int., 93, 1, 10.1016/j.foodres.2017.01.006 · DOI
  18. Lei, 2015, Food Chem., 178, 96, 10.1016/j.foodchem.2015.01.081 · DOI
  19. Duan, 2016, Food Chem., 206, 102, 10.1016/j.foodchem.2016.03.055 · DOI
  20. Benzie, 1996, Anal. Biochem., 239, 70, 10.1006/abio.1996.0292 · DOI
  21. Arroyo-Maya, 2016, Food Chem., 213, 431, 10.1016/j.foodchem.2016.06.105 · DOI
  22. Cai, 2015, Food Chem., 174, 291, 10.1016/j.foodchem.2014.10.131 · DOI
  23. Dai, 2017, Food Res. Int., 102, 274, 10.1016/j.foodres.2017.09.020 · DOI
  24. Cao, 2017, J. Food Sci., 82, 409, 10.1111/1750-3841.13607 · DOI
  25. Li, 2007, LWT–Food Sci. Technol., 40, 1167, 10.1016/j.lwt.2006.08.015 · DOI
  26. Dai, 2018, Int. J. Biol. Macromol., 113, 427, 10.1016/j.ijbiomac.2018.01.189 · DOI
  27. Lindin, 2013, Theor. Biol. Med. Modell., 10, 56, 10.1186/1742-4682-10-56 · DOI
  28. Xu, 2015, Int. J. Biol. Macromol., 81, 942, 10.1016/j.ijbiomac.2015.09.041 · DOI
  29. Baker, 2001, Science, 294, 93, 10.1126/science.1065659 · DOI · Paper page
  30. Shu, 2015, Food Chem., 173, 31, 10.1016/j.foodchem.2014.09.164 · DOI
  31. Lakowicz, 1973, Biochemistry, 12, 4171, 10.1021/bi00745a021 · DOI
  32. Brandao, 2017, Food Chem., 228, 427, 10.1016/j.foodchem.2017.02.027 · DOI
  33. Joye, 2015, Food Chem., 185, 261, 10.1016/j.foodchem.2015.03.128 · DOI
  34. Zeng, 2016, J. Agric. Food Chem., 64, 6939, 10.1021/acs.jafc.6b02314 · DOI
  35. Jia, 2017, Food Chem., 228, 143, 10.1016/j.foodchem.2017.01.131 · DOI
  36. Ross, 1981, Biochemistry, 20, 3096, 10.1021/bi00514a017 · DOI
  37. Li, 2015, Food Chem., 179, 213, 10.1016/j.foodchem.2015.01.133 · DOI
  38. Cheng, 2011, J. Photochem. Photobiol., B, 105, 126, 10.1016/j.jphotobiol.2011.07.004 · DOI
  39. Wang, 2015, J. Agric. Food Chem., 63, 526, 10.1021/jf505584m · DOI
  40. Zhong, 2013, Biomaterials, 34, 294, 10.1016/j.biomaterials.2012.09.060 · DOI
  41. Singh, 2017, J. Biomol. Struct. Dyn., 35, 657, 10.1080/07391102.2016.1159985 · DOI

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Metadata

Authors
Dai, T., Chen, J., McClements, D. J., Hu, P., Ye, X., Liu, C., & Li, T.
Affiliations
  • Nanchang University (CN)
  • Amherst College (US)
Corresponding author
  • McClements, David Julian
  • Li, Ti
ORCID
Venue
Food & Function
Publisher
Royal Society of Chemistry (RSC)
Published
2019
Volume
10
Issue
2
Pages
765-774
ISSN
  • 2042-6496 (ISSN-L)
  • 2042-650X
DOI
10.1039/c8fo02246a
OpenAlex
W2912138721
Cited by
252
References
0
Citations by year
2026: 22 · 2025: 34 · 2024: 41 · 2023: 48 · 2022: 38 · 2021: 41 · 2020: 23 · 2019: 5
FWCI
20.64
Type
journal article
Language
en
Open access
closed
Licence
rsc.li/journals-terms-of-use#chorus (am, 386 d)
Locations
  • Food & Function (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (31460394, 31760441)
  • National Institute of Food and Agriculture (MAS00491)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Proteins in Food Systems
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Protein Hydrolysis and Bioactive Peptides
Keywords
rice glutelin, procyanidin B2, protein-polyphenol interactions, antioxidant capacity, protein secondary structure, protein hydrophobicity, emulsion stability, hydrophobic interactions, molecular docking, functional foods, plant proteins, polyphenols
MeSH terms
Antioxidants, Catechin, Computer Simulation, Glutens, Models, Chemical, Models, Molecular, Protein Conformation, Oryza, Spectrophotometry, Ultraviolet, Proanthocyanidins, Biflavonoids, Polyphenols

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