Rapid Kinetic and Thermodynamic Determination Using Automated Flow

使用自动流程进行快速动力学和热力学测定

• 批准号: 2882559
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2882559
• 关键词: Rapid; Kinetic; Thermodynamic; Determination; Using

This project forms part of a team developing an automated process development platform for use in the pharma industry. The work will address the monitoring, control, and self-optimisation of multiphasic (gas-liquid-solid) continuous flow chemical reactions, using novel reaction calorimetry and spectroscopic methods for rapid kinetic and thermodynamic determination. The experimental data will be used in combination with new predictive, in-silico, methods to facilitate improved process development, helping reduce cost, waste, and improve productivity and quality. The project involves AstraZeneca Process Development Department and will train a high calibre student in skills needed at the chemistry and process engineering interface that are increasingly sought by the chemical producing sector.

该项目构成了开发自动化过程开发平台的团队的一部分，用于制药行业。这项工作将使用新型的反应量热法和光谱方法来探讨多相（气体 - 固醇）连续化学反应的监测，控制和自我优化，以快速动力学和热力学测定。实验数据将与新的预测性，内核，促进工艺发展的方法结合使用，有助于降低成本，浪费并提高生产率和质量。该项目涉及Astrazeneca流程开发部门，并将培训高素质学生在化学和工程工程界面所需的技能上，这些技能越来越多地被化学生产部门寻求。