Automated Technoeconomic Analysis for Biomanufacturing Optimisation

生物制造优化的自动化技术经济分析

• 批准号: 10075828
• 金额: $ 6.35万
• 依托单位: NEW WAVE BIOTECH LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10075828
• 关键词: Automated; Technoeconomic; Analysis; Biomanufacturing; Optimisation

New Wave Biotech (NWB) is developing software that uses computational modelling to optimise downstream processes (DSP) for biomanufacturing, accelerating R&D and reducing final production costs of alternative proteins and other synthetic biology products. This solution transforms how DSP optimisation is done -- moving it from a slow, expensive and inefficient approach reliant on expert experience, to one that is rapid, driven by efficient computational modelling, with targeted experiments on high potential processes.We combine machine learning models with mechanistic approaches to unite an understanding of the underlying system dynamics with the nuances of real-world operation. This is then combined with a smart optimisation system to search the billions of possible process and parameter combinations to identify the optimal downstream process through in-silico testing.New Wave Biotech is now developing functionality to automate techno-economic analysis, allowing our customers to have a clear view of the costs and payback time of different bioprocessing options.

新浪潮生物技术公司(New Wave Biotech，NWB)正在开发一种软件，该软件使用计算模型来优化生物制造的下游流程(DSP)，从而加快研发并降低替代蛋白质和其他合成生物制品的最终生产成本。这个解决方案改变了进行DSP优化的方式--将其从依赖专家经验的缓慢、昂贵和低效的方法转变为一种由高效的计算模型驱动的快速方法，并对高潜力的过程进行有针对性的实验。我们将机器学习模型与机械方法相结合，将对潜在系统动力学的理解与现实世界操作的细微差别结合起来。然后与智能优化系统相结合，搜索数十亿种可能的工艺和参数组合，通过硅内测试确定最佳的下游工艺。新浪潮生物技术现在正在开发自动化技术经济分析的功能，使我们的客户能够清楚地了解不同生物加工方案的成本和回收期。