暗发酵的数学建模和从水中生成的可溶性副产品
Quang Huy Hoang Phan1, Thi Pham Phan2, Phan Khanh Thinh Nguyen3
1Faculty of Biology and Environment, Ho Chi Minh City University of Food Industry, 140 Le Trong Tan Street, Tay Thanh Ward, Tan Phu District, Ho Chi Minh City, Viet Nam.
Bioresource technology
|June 4, 2023
概括
一个新的模型准确地预测了使用暗发酵从水黄中产生和代谢物产生的情况. 该模型结合了基质形式和工艺阶段,显示了优化生物燃料生产的高预测准确性.
科学领域:
- 生物化学工程 生物化学工程
- 可再生能源可再生能源是可再生能源.
- 生物技术是生物技术.
背景情况:
- 暗发酵是将生物质转化为和有价值的代谢物的一个关键过程.
- 水黄为生物燃料生产提供了一个可持续的,丰富的基质.
- 精确的建模对于优化暗发酵效率至关重要.
研究的目的:
- 开发和验证一个全面的和可溶性代谢物从水黄通过黑暗发酵生产的综合模型.
- 将关键的过程参数如温度,pH值和基质度整合到模型中.
- 根据实验和文献数据评估模型的预测能力.
主要方法:
- 模拟的暗发酵有两个基质形式 (可溶和颗粒) 和两个阶段 (水解和酸性生成).
- 应用了经过修改的迈凯利斯-门和表面限制模型用于水解.
- 使用多基板单生物质模型进行酸性生成.
- 嵌入的温度,pH值和基质度影响.
主要成果:
- 该模型对和总可溶性代谢产物具有很高的预测准确性.
- 确定值的系数从0.92到0.97不等,表明与数据有很强的一致性.
- 该模型成功地预测了水青养的黑暗发酵的结果.
结论:
- 开发的模型为了解和优化水的暗发酵提供了一个强大的框架.
- 该模型的灵活性允许在下游和混合工艺中潜在的应用.
- 这种方法可以扩展到其他基板,以提高生物燃料的生产.
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