分数计算作为生物化学甲潜力测试的通用运动模型
C Da Silva1, M Peces2, A Jaques3
1Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, 08028 Barcelona, Spain; Department of Mathematics, Lab. De Càlcul Numèric (LaCàN), Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.
Bioresource technology
|February 4, 2024
概括
一个新的微积分计算模型准确地估计了生物甲潜力 (BMP) 测试中的甲产量和降解动力学,其性能优于传统模型. 这种先进的运动模型有效地处理无氧消化过程中的复杂基质变化.
科学领域:
- 生物化学工程 生物化学工程
- 厌氧消化 厌氧消化
- 可再生能源可再生能源是可再生能源.
背景情况:
- 生物甲潜力 (BMP) 测定对于评估无氧消化效率至关重要.
- 现有的动力模型经常与基质异质性和复杂的降解模式作斗争.
- 精确的运动建模对于优化生物气生产至关重要.
研究的目的:
- 为BMP测试引入一个概括的分数微积分模型.
- 评估模型的性能与传统的第一阶级运动模型相比.
- 评估模型在各种无氧消化场景中的适用性.
主要方法:
- 基于分数计算的动力模型的开发和应用.
- 使用BMP测定数据,与第一阶级模型相匹配的分数模型的比较.
- 对各种基质类型和消化条件的模型性能进行分析.
主要成果:
- 分数微积分模型与第一阶级模型相比,显示出优越的数据匹配.
- 该模型有效地管理了基质异质性和复杂的BMP曲线模式 (尾状,西格形).
- 在单消化,联合消化和治疗前测试中观察到强大的性能.
结论:
- 分数计算为建模甲生产动力学提供了更准确和更通用的方法.
- 该模型捕捉过程复杂性的能力提高了它在无氧消化研究中的实用性.
- 计算效率可以通过使用指数函数来提高> 0.8的分数顺序.
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