生物表面活性剂和其他生物分子联合生产的进展:用于过程优化的统计方法
Vaibhav Kadam1, Manikprabhu Dhanorkar1, Shruti Patil2
1Symbiosis Centre for Waste Resource Management, Symbiosis International (Deemed University), Lavale, Pune-412115, India.
Journal of applied microbiology
|February 3, 2024
概括
本研究探讨了生物表面活性剂和酶的微生物联合生产,旨在实现成本效益高的生物工艺. 人工智能 (AI) 为优化这些复杂的同时生产系统提供了巨大的潜力.
科学领域:
- 生物技术是生物技术.
- 微生物的新陈代谢
- 生物工艺工程 生物工艺工程
背景情况:
- 生物表面活性剂和酶的同时微生物生产提供了一个经济的生物处理机会.
- 有限的研究存在于同时生产优化,尽管酶,蛋白酶和酶等酶的工业相关性.
- 微生物的代谢复杂性对综合生物表面活性剂-酶共产提出了挑战.
研究的目的:
- 审查和探索生物表面活性剂和酶联合生产的统计工具.
- 突出先进的计算工具,特别是人工智能 (AI) 的潜力,以优化联合生产过程.
- 研究人工智能在提高生物分子提取效率,速度和经济可行性方面的作用.
主要方法:
- 对生物表面活性剂和酶的微生物共产的现有文献的审查.
- 探索适用于联合生产优化的统计方法.
- 讨论先进的计算和人工智能工具的潜在应用.
主要成果:
- 确定了关于同时优化生物表面活性剂和酶生产的研究缺口.
- 突出了共同生产系统中微生物新陈代谢的复杂性.
- 强调了计算工具和人工智能的未被探索的潜力,以优化下游战略.
结论:
- 生物表面活性剂和酶的联合生产是实现成本效益高的生物处理的有希望的途径.
- 统计和计算工具,特别是人工智能,对于克服代谢复杂性和优化联合生产至关重要.
- 人工智能集成有望高效,快速和经济地提取多个生物分子.
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