从Fusarium verticillioides中最大限度地回收基和基托桑,使用一次多因素方法
Wassila Arbia1, Mohamed Kouider Amar2, Lydia Adour3
1Research Unit in Engineering and Environment (URIE), National Polytechnics School, Algiers 16000, Algeria; University Yahia Fares of Medea 26000, Medea, Algeria.
International journal of biological macromolecules
|October 20, 2024
概括
使用进化算法 (ALO和AGE-MOEA) 从Fusarium verticillioides中优化基和基酸提取,显著改善了生物聚合物回收. 这项研究为工业应用最大限度地提高产量提供了一个强大的模型.
科学领域:
- 生物技术是生物技术.
- 生物聚合物科学 生物聚合物科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 酸和酸盐的提取是复杂的,受到众多变量的影响.
- 优化这些过程对于工业应用至关重要.
研究的目的:
- 为了优化从Fusarium verticillioides中提取基和基托桑.
- 使用先进的算法来建模和最大化生物聚合物产量.
主要方法:
- 使用多重线性回归 (MLR),狮优化器 (ALO) 和基于自适应几何估计的多目标进化算法 (AGE-MOEA).
- 应用FT-IR和SEM用于样本分析.
- 包含数据转换以捕捉非线性关系.
主要成果:
- ALO和AGE-MOEA有效地建模和优化了提取参数.
- 通过特定度的氨酸,培养基,化时间,奥利戈基,FeSO4,K2HPO4和NaCl,达到最佳产量.
- 通过FT-IR和SEM验证的特征带和微结构.
结论:
- 综合ALO和AGE-MOEA方法成功优化了基和基托产量.
- 这种方法增强了生物聚合物回收,为重要的工业利用铺平了道路.
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