A Fully-Automated Robotic System For Intelligent Chemical Reaction Screening

用于智能化学反应筛选的全自动机器人系统

• 批准号: EP/S009965/1
• 负责人: Ian Fairlamb
• 金额: $ 25.67万
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS009965%2F1
• 关键词: Fully; Automated; Robotic; System; Intelligent

Robotic systems are changing the way in which we manipulate, control and manufacture materials that are of central importance to society at large. Here, we will take advantage of a state of the art robotic system (Chemspeed Technologies ISYNTH, a Swiss-based technology), based at the University of York to transform the way that chemists (and potentially other scientists) develop new reactions, drawing on its high-throughput reaction screening capability. The ISYNTH robotic system, alongside other analytical instrumentation, will support studies in (a) reaction mechanisms, (b) reaction optimisation, (c) novel route and compound discovery. Reliably capturing reaction data, and its statistical analysis, will be important in ensuring that our project is successful. All data generated from the project will be accessible through a common data repository, providing a rich source of information for future scientists to examine. We will provide a highly-instrumented and data intensive system that will accelerate workflow, productivity, accuracy, and precision in reaction screening for the Chemistry and Chemical Engineering communities.

机器人系统正在改变我们操纵、控制和制造对整个社会至关重要的材料的方式。在这里，我们将利用约克大学的最先进的机器人系统（Chemspeed Technologies ISYNTH，一种位于瑞士的技术），利用其高通量反应筛选能力，改变化学家（可能还有其他科学家）开发新反应的方式。ISYNTH机器人系统与其他分析仪器一起，将支持以下方面的研究：（a）反应机理，（B）反应优化，（c）新路线和化合物发现。可靠地捕获反应数据及其统计分析对于确保我们的项目成功至关重要。该项目产生的所有数据都将通过一个共同的数据库访问，为未来的科学家提供丰富的信息来源。我们将提供一个高度仪表化和数据密集型的系统，这将加速化学和化学工程界反应筛选的工作流程，生产力，准确性和精度。

项目成果

Deciphering Complexity in Pd-Catalyzed Cross-Couplings

破译 Pd 催化交叉偶联的复杂性

• DOI: 10.26434/chemrxiv-2023-096lm-v2
• 发表时间: 2023
• 作者: Clarke G

Pd-Catalyzed Cross-Couplings: On the Importance of the Catalyst Quantity Descriptors, mol % and ppm.

• DOI: 10.1021/acs.oprd.2c00051
• 发表时间: 2022-08-19
• 期刊: ORGANIC PROCESS RESEARCH & DEVELOPMENT
• 影响因子: 3.4
• 作者: Horbaczewskyj, Christopher S.;Fairlamb, Ian J. S.
• 通讯作者: Fairlamb, Ian J. S.