从大麻中提取植物化学品的超声波辅助提取的优化,动力学和热力学
Pinyada Jaroenkunpanit1, Juraithip Wungsintaweekul2, Pakamas Chetpattananondh1
1Department of Chemical Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
ACS omega
|October 13, 2025
概括
这项研究优化了大麻的超声波辅助提取 (UAE),最大限度地提高了有益的大麻 (CBD),和黄类药物,同时最大限度地减少了四大麻 (THC). 这些发现为大麻加工提供了有效的策略.
科学领域:
- 农业化学 农业化学
- 植物化学 植物化学
- 工艺工程是过程工程.
背景情况:
- 大麻 (Cannabis sativa L.) 含有有价值的生物活性化合物,如大麻 (CBD),和黄.
- 目前的提取方法往往难以最大限度地利用有益的化合物,同时最大限度地减少精神活性四大麻素 (THC).
研究的目的:
- 为了优化大麻植物化学品的超声波辅助提取 (UAE).
- 为了阐明大麻化合物提取的动力学和热力学.
- 开发高效和可持续的麻加工策略.
主要方法:
- 使用响应表面方法 (RSM) 来优化阿联参数 (液体-固体比,时间,温度).
- 进行了动力建模 (第一阶,功率定律,佩莱格模型) 和热力学分析 (van't Hoff,Eyring).
- 进行了CBD,总含量 (TPC),总黄含量 (TFC) 和THC的量化.
主要成果:
- 最佳的阿联条件被确定为10mLg-1L-S比率,45分钟,和18°C.
- 获得的最大产量为222.45 mg gDW-1 CBD,2.75 mg CAE gDW-1 TFC和11.13 mg GAE gDW-1 TPC,THC降至25.74 mg gDW-1.
- 观察到不同的化合物特定的提取行为,并以动力学和热力学模式建模.
结论:
- 优化的阿联方法提供了一种高效的战略,用于提取高产的有益的麻化合物.
- 了解提取动力学和热力学可以进行精确的控制和过程优化.
- 这项研究支持开发可持续的麻加工,用于各种工业应用.
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