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Yue Meng1, Hanying Yang1, Zimu Li1

  • 1Key Laboratory of Dairy Science, Ministry of Education, Department of Food Science, Northeast Agricultural University, Harbin 150030, China.

Food chemistry
|May 11, 2025
PubMed
概括

机器学习和深度学习为超声波辅助提取 (UAE) 挑战提供了解决方案. 这些人工智能模型加速了溶剂选,优化了流程,并增强了对提取机制的理解,以提高植物生物活性化合物产量.

关键词:
数据驱动优化的优化.功能组成 功能组成智能模型是一个智能模型.可持续的开采过程 可持续的开采过程超声波协同技术技术的超声波协同技术

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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