首页|期刊导航|未来食品学报(英文)|Development of an early warning model for stability evaluation of polyphenol-rich fruit juice based on multiple light scattering combined with artificial neural network
Development of an early warning model for stability evaluation of polyphenol-rich fruit juice based on multiple light scattering combined with artificial neural network
Haozhou Huang Yurou Jiang Mengqi Li Youde Zheng Xiaohong Chen Li Han Runchun Xu Dingkun Zhang Junzhi Lin
未来食品学报(英文)2026,Vol.6Issue(6):1018-1027,10.
未来食品学报(英文)2026,Vol.6Issue(6):1018-1027,10.DOI:10.1016/j.jfutfo.2025.02.007
Development of an early warning model for stability evaluation of polyphenol-rich fruit juice based on multiple light scattering combined with artificial neural network
Development of an early warning model for stability evaluation of polyphenol-rich fruit juice based on multiple light scattering combined with artificial neural network
摘要
关键词
Sedimentation/Intelligent manufacturing/Long short-term memory/Backpropagation/Triphala fruit juiceKey words
Sedimentation/Intelligent manufacturing/Long short-term memory/Backpropagation/Triphala fruit juice引用本文复制引用
Haozhou Huang,Yurou Jiang,Mengqi Li,Youde Zheng,Xiaohong Chen,Li Han,Runchun Xu,Dingkun Zhang,Junzhi Lin..Development of an early warning model for stability evaluation of polyphenol-rich fruit juice based on multiple light scattering combined with artificial neural network[J].未来食品学报(英文),2026,6(6):1018-1027,10.基金项目
This work was supported by grants from the National Natural Science Foundation of China(82304871),China Postdoctoral Science Foundation(2023MD734100),Sichuan Science and Technology Program(2024NSFSC1846)and Sichuan Science and Tehnology Program(2024YFFKO185). (82304871)