Ultra-High Performance Liquid Chromatography as a High-Throughput Analytics Platform for Organic Chemistry

超高效液相色谱作为有机化学的高通量分析平台

基本信息

  • 批准号:
    RTI-2019-00343
  • 负责人:
  • 金额:
    $ 10.89万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Research Tools and Instruments
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

The advent of high-throughput*experimentation, where hundreds-to-thousands of experiments can be run simultaneously, has changed the way many physical and life sciences disciplines*conduct research. One area that has been slow to adopt high-throughput methods,*despite significant potential for advancement, is organic synthesis. While*industry has increasingly used high-throughput approaches for reaction*optimization and parallel synthesis in recent years, academic research has*mostly kept an iterative and often linear approach: optimization by varying one*factor at a time, leading to synthesis in single experiments performed in*flasks. Continued progress requires modernization of our methods and tools.*Leveraging my past experience in pharmaceutical process chemistry, the Leitch group*will develop new kinds of high-throughput experimentation that will ultimately*lead to progress for both academic and industrial researchers.*** The most important part of high-throughput*workflows is a rapid, reliable, and user-friendly analytical platform. This*proposal seeks funding for an Ultra High Performance Liquid Chromatography*instrument capable of more than 1,400 analyses/day. Automated sampling enables*24/7 operation, and automated data processing software collates large*data sets. To my knowledge, no system with this level of throughput exists at a Western Canadian university.*This represents a unique training opportunity: students will become*experts on a cutting-edge analytical platform, as well as handle large*data sets using modern data science and statistical techniques. In addition, access to this*instrument will be highly attractive to regional industrial labs, thus fostering academic/industry collaborations.*** This instrument is foundational to the new*Leitch group program, which will get underway at UVic in January 2019. This*program seeks to develop predictive models for chemical reactivity based on*data sets obtained via high-throughput*experimentation. This is a new and competitive field, with academic and*industrial labs recently publishing high-profile studies. It is therefore*critical to secure this instrument; without it, the Leitch group research*program would be impossible. This proposal also has co-applicant support from*four senior colleagues at UVic whose research programs will be significantly*accelerated by this technology. I envision this instrument as a core capability*in an emerging center for high-throughput chemistry, available for the benefit*of all UVic researchers.
高通量*实验的出现,可以同时进行数十万到数十万个实验,这改变了许多物理和生命科学学科的方式*进行研究。有机综合是一个采用高通量方法的区域,但采用高通量方法。虽然工业越来越多地使用高通量方法来进行反应*优化和平行合成,但学术研究大多保留了一种迭代性且通常是线性方法:一次性通过改变一个*因子来进行优化,从而在*烧瓶中执行的单个实验中进行合成。持续的进展需要我们的方法和工具的现代化。该建议寻求用于超高性能液相色谱的资金*仪器,每天进行1,400多次分析。自动采样启用*24/7操作,并且自动数据处理软件校正了大*数据集。据我所知,西部一所加拿大大学没有任何具有这种水平吞吐量的系统。此外,使用该工具将对区域工业实验室具有很高的吸引力,从而促进了学术/行业的合作。***此工具是新的*Leitch Group计划的基础,该工具将于2019年1月在UVIC进行。该*计划旨在基于*通过*通过*通过高位交易*实验来开发用于化学反应的预测模型。这是一个新的竞争领域,有学术和工业实验室最近发布了备受瞩目的研究。因此,保护​​该工具至关重要;没有它,Leitch Group Research*计划将是不可能的。该提案还获得了*UVIC的四位高级同事的共同申请支持,该技术将被这项技术显着加速。我将这种仪器设想为新兴的高通量化学中心中的核心能力*,可用于所有UVIC研究人员的利益*。

项目成果

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Leitch, David其他文献

Leitch, David的其他文献

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{{ truncateString('Leitch, David', 18)}}的其他基金

Chemical Cartography via High-Throughput Experimentation: Predictive Models, Catalyst Development, and New Synthetic Methodology
通过高通量实验进行化学制图:预测模型、催化剂开发和新的合成方法
  • 批准号:
    RGPIN-2019-04985
  • 财政年份:
    2022
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Discovery Grants Program - Individual
Manufacture of Active Pharmaceutical Ingredients using Transition Metal Catalysts for Selective Functionalization of C-H Bonds
使用过渡金属催化剂选择性官能化 C-H 键来制造活性药物成分
  • 批准号:
    557162-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Alliance Grants
A universal palladium precatalyst for efficient chemical synthesis of molecules and materials
用于高效化学合成分子和材料的通用钯预催化剂
  • 批准号:
    561560-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Idea to Innovation
Chemical Cartography via High-Throughput Experimentation: Predictive Models, Catalyst Development, and New Synthetic Methodology
通过高通量实验进行化学制图:预测模型、催化剂开发和新的合成方法
  • 批准号:
    RGPIN-2019-04985
  • 财政年份:
    2021
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Discovery Grants Program - Individual
A Modular Continuous Flow System for the Synthesis of Molecules and Materials
用于分子和材料合成的模块化连续流系统
  • 批准号:
    RTI-2022-00385
  • 财政年份:
    2021
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Research Tools and Instruments
Chemical Cartography via High-Throughput Experimentation: Predictive Models, Catalyst Development, and New Synthetic Methodology
通过高通量实验进行化学制图:预测模型、催化剂开发和新的合成方法
  • 批准号:
    RGPIN-2019-04985
  • 财政年份:
    2020
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Discovery Grants Program - Individual
Manufacture of Active Pharmaceutical Ingredients using Transition Metal Catalysts for Selective Functionalization of C-H Bonds
使用过渡金属催化剂选择性官能化 C-H 键来制造活性药物成分
  • 批准号:
    557162-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Alliance Grants
Chemical Cartography via High-Throughput Experimentation: Predictive Models, Catalyst Development, and New Synthetic Methodology
通过高通量实验进行化学制图:预测模型、催化剂开发和新的合成方法
  • 批准号:
    DGECR-2019-00241
  • 财政年份:
    2019
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Discovery Launch Supplement
Chemical Cartography via High-Throughput Experimentation: Predictive Models, Catalyst Development, and New Synthetic Methodology
通过高通量实验进行化学制图:预测模型、催化剂开发和新的合成方法
  • 批准号:
    RGPIN-2019-04985
  • 财政年份:
    2019
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Discovery Grants Program - Individual
Palladium-Catalyzed Multicomponent Synthesis of Structurally Diverse Conjugated Polymers for Organic Electronic Devices
用于有机电子器件的结构多样共轭聚合物的钯催化多组分合成
  • 批准号:
    403833-2011
  • 财政年份:
    2013
  • 资助金额:
    $ 10.89万
  • 项目类别:
    Postdoctoral Fellowships

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