New insight in characterization of red wine astringency using soft tribology method |
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| Authors: | Chengxin Zhu Yantao Liu Jinhui Ma Yongjia Chen Xianwei Pan Katsuyoshi Nishinari Nan Yang |
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| Affiliation: | 1. Glyn O. Phillips Hydrocolloid Research Centre, National “111” Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Key Laboratory of Industrial Microbiology in Hubei, Department of Bioengineering and Food Science, Hubei University of Technology, Wuhan, China;2. Glyn O. Phillips Hydrocolloid Research Centre, National “111” Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Key Laboratory of Industrial Microbiology in Hubei, Department of Bioengineering and Food Science, Hubei University of Technology, Wuhan, China Food Hydrocolloid International Science and Technology Cooperation Base of Hubei Province, Hubei University of Technology, Wuhan, China |
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| Abstract: | The variation of friction coefficient (μ) of model wine and model saliva mixtures with entrainment speed (VR) on simulated oral surfaces was evaluated by oral tribology. Combined with techniques of dynamic light scattering (DLS), atomic force microscopy (AFM), rheometer, and quartz crystal microbalance with dissipation monitoring (QCM-D), the correlation between characteristics of the model wine and model saliva mixtures (particle size and morphology, suspension viscosity, adsorption film thickness, and viscoelasticity) and the oral lubrication loss was established. The results showed that the higher the concentration of tannin in the model wine, the larger the size of the complexes with the model saliva, and the higher the thickness, viscoelasticity, and roughness of the adsorption film formed, which resulted in the increase of friction coefficient in the boundary lubrication regime. Different from previous results, it is found that the maximum value of the friction coefficient (μmax) in the boundary regime has the best positive correlation with the astringency perception intensity of the model wine accordingly. |
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| Keywords: | AFM astringency DLS QCM-D tribology |
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