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从Camellia oleifera叶子中提取和识别多,使用基于COSMO-RS设计的量身定制的深溶性溶剂

Shiling Feng¹, Guanfeng Deng¹, Huanyao Liu¹

¹College of Life Science, Sichuan Agricultural University, Ya'an 625014, China.

|February 8, 2024

概括

这项研究确定了Camellia oleifera叶中的50种多,并开发了一种使用胆化物-乙胺的优化深度优化溶剂 (DES) 提取方法. 这种新的方法显著提高了聚醇产量.

科学领域:

植物化学植物化学
绿色化学绿色化学
计算化学计算化学

背景情况:

卡梅利亚橄花的叶子含有大量的有价值的多.
多具有显著的健康益处和工业应用.
有效的提取方法对于分离这些化合物至关重要.

研究的目的:

为了识别和量化Camellia oleifera叶中的多化合物.
为了设计和选深度优化溶剂 (DESs),以实现最佳的多提取.
开发和优化超声波辅助的DES提取过程.

主要方法:

超高性能液态染色学-四极飞行时间质谱学 (UHPLC-Q-TOF-MS/MS) 用于多的识别.
用于设计和预测DES性能的COSMO-RS (真实溶剂导体样选模型).
基于17胆化物 (ChCl) 的DESs的合成和虚拟选.
响应表面方法 (RSM) 用于优化超声波辅助DES提取参数.

主要成果:

在C. oleifera的叶子中识别了50种不同的多化合物.
基于氨基和胺的DES显示出对多的优越溶解能力.
使用ChCl-乙胺的优化超声波辅助DES提取产生了131.63±0.85毫克GAE/g总含量.
建立了一个系统,从UHPLC-Q-TOF-MS/MS分析中生成COSMO-RS计算所需的数据.

结论:

深度浸泡溶剂,特别是基于胆化物和胺/氨基的溶剂,对于从Camellia oleifera叶中提取多来说非常有效.
优化的超声波辅助DES提取提供了一种显著改进和高效的方法,用于获得高产的总.
这项研究将先进的分析技术与计算建模相结合,用于合理的溶剂设计和自然产品提取过程优化.

关键词:

在COSMO-RS的基础上,卡梅利亚橄花 (Camellia oleifera) 是一种植物.在 DES DES 中,您可以使用聚醇是一种多的化合物.在UHPLC-Q/TOF-MS/MS中使用.

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