提取动力学和功能组件的热力学评估在热化Sohshang果汁中,通过ANN-GA优化
Puja Das1,2, Prakash Kumar Nayak1, Radha Krishnan Kesavan1
1Department of Food Engineering & Technology, Central Institute of Technology, Deemed to be University, Kokrajhar, Assam, India.
Preparative biochemistry & biotechnology
|June 7, 2025
概括
这项研究优化了Sohshang果汁的热化 (TS),揭示了伪二阶模型最能描述生物活性成分的释放. 热力学分析证实了这一过程.
科学领域:
- 食品科学与技术 食品科学与技术
- 生物化学 生化学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 早些时候的研究优化了Sohshang (Elaeagnus latifolia) 水果汁的热化 (TS) 设置.
- 果汁中的生物活性成分对提取条件敏感.
研究的目的:
- 调查从Sohshang果汁中提取生物活性成分的热声辅助提取的提取动力学和热力学原理.
- 为了确定最佳的加工参数,提高生物活性成分的提取.
主要方法:
- 在30°C至50°C的温度下,对Sohshang果汁进行了热化 (TS).
- 人工神经网络遗传算法 (ANN-GA) 用于确定最佳的TS参数 (50%的幅度,40°C,60分钟).
- 进行了动力建模 (伪二阶) 和热力学分析 (激活能量,,,吉布斯自由能量).
主要成果:
- 伪二次运动模型提供了最适合释放 Askorbic 酸 (AA),总含量 (TPC),总黄含量 (TFC) 和抗氧化活性 (AOA) 的模型,其 R2 值为 0.99 和低 χ2 值.
- 最佳的TS参数被确定为50%的振幅,40°C和60分钟.
- 热力学参数表明该过程是内热和自发的.
结论:
- 热化是一种有效的方法,可以增强从Sohshang果汁中提取生物活性成分.
- 伪二阶模型准确地描述了在TS条件下生物活性成分释放的动力学.
- 热力学数据支持TS提取过程的可行性和能源需求.
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