High Performance Analysis of Complex Organic Mixtures

复杂有机混合物的高性能分析

基本信息

  • 批准号:
    RGPIN-2019-03904
  • 负责人:
  • 金额:
    $ 7.65万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

The primary focus of our research program is to facilitate lab automation and on-site deployment via design of highly automated miniaturized and integrated instrumentation for isolation of organic materials from complex matrices, as well as subsequent separation, identification, and quantification of these species. We are actively pursuing solvent-free, "green" approaches that can integrate both sampling and sample preparation steps and therefore facilitate convenient field deployment and in-vivo determinations. The long-term objective of our efforts is to move analytical chemistry "on-site", where the sample is located, as a means to decrease the cost of analysis, while still delivering rapid and accurate measurement, screening, and monitoring. As part of this ongoing effort, our research team is currently investigating various polymer membrane, sorbent packed needle, and range-sorbent coated support configurations, including fibers, tips, particles, and blades. In the next 5-year research program supported by the Discovery grant, we propose to continue expanding our fundamental understanding of mass transfer in tissue during SPME sampling so as to broaden the scope of its application to more challenging tasks, including protein extraction, metabolomics investigations of live systems. The proposed research will facilitate development of convenient extraction devices, effective methods, and appropriate calibration procedures, resulting in the enablement of highly sensitive detection through application of microextraction principles. The main focus will be development of water and air monitoring methods using on-site instrumentation. Our previous research clearly demonstrated that in-vivo SPME technology, "chemical biopsy", can effectively isolate metabolite composition, including unstable compounds, from various investigated systems, a feat which facilitates correct characterization of living systems. SPME also provides complementary in-vivo information to microdialysis, as it provides better coverage of lipophilic compounds. Considering the above, we have been expanding our research in the area of in-vivo lipidomics, given that many lipids are good disease biomarkers. While most sample preparation devices are typically coupled to chromatography, we have recently considered direct coupling of devices to mass spectrometry and/or ion mobility spectrometry, taking advantage of the separation power of these devices. To facilitate this line of research, we have been developing a new approach to ion mobility via focusing of ions in the separation channel. This unique approach not only results in higher sensitivity due to focusing, but also facilitates enhancement in selectivity, as it enables effective exploration of cluster formation by addition of appropriate compounds ("modifiers") to the drift gas. System based on such principle will be designed to be portable and compact enough so as to even allow for their placement onto a cellphone device
我们的研究计划的主要重点是通过设计高度自动化的小型化和集成仪器来促进实验室自动化和现场部署,用于从复杂基质中分离有机材料,以及随后的分离,鉴定和量化这些物种。我们正在积极寻求无溶剂的“绿色”方法,该方法可以集成采样和样品制备步骤,因此便于现场部署和体内测定。我们努力的长期目标是将分析化学转移到样品所在的“现场”,作为降低分析成本的一种手段,同时仍然提供快速准确的测量、筛选和监测。作为这一持续努力的一部分,我们的研究团队目前正在研究各种聚合物膜,吸附剂包装针和范围吸附剂涂层支持配置,包括纤维,尖端,颗粒和叶片。在Discovery资助的下一个5年研究计划中,我们建议继续扩大我们对SPME采样期间组织中质量传递的基本理解,以扩大其应用范围,以完成更具挑战性的任务,包括蛋白质提取,活系统的代谢组学研究。拟议的研究将促进方便的提取设备,有效的方法和适当的校准程序的发展,从而使高灵敏度的检测,通过微萃取原理的应用。主要重点将是利用现场仪器开发水和空气监测方法。我们以前的研究清楚地表明,体内SPME技术,“化学活检”,可以有效地分离代谢物的组成,包括不稳定的化合物,从各种研究系统,这有助于正确表征生命系统的壮举。SPME还为微透析提供了补充体内信息,因为它提供了更好的亲脂性化合物覆盖范围。考虑到上述情况,我们一直在扩大我们在体内脂质组学领域的研究,因为许多脂质是良好的疾病生物标志物。虽然大多数样品制备设备通常与色谱法耦合,但我们最近考虑将设备直接耦合到质谱法和/或离子迁移谱法,利用这些设备的分离能力。为了促进这方面的研究,我们一直在开发一种新的方法,通过离子在分离通道中的聚焦离子迁移率。这种独特的方法不仅由于聚焦而导致更高的灵敏度,而且还有助于提高选择性,因为它能够通过向漂移气体中添加适当的化合物(“改性剂”)来有效地探索簇的形成。基于这种原理的系统将被设计成足够便携和紧凑,以便甚至允许它们放置在手机设备上

项目成果

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Pawliszyn, Janusz其他文献

Development and validation of a fully automated solid phase microextraction high throughput method for quantitative analysis of multiresidue veterinary drugs in chicken tissue
  • DOI:
    10.1016/j.aca.2018.12.044
  • 发表时间:
    2019-05-16
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Khaled, Abir;Gionfriddo, Emanuela;Pawliszyn, Janusz
  • 通讯作者:
    Pawliszyn, Janusz
Carboxylated multiwalled carbon nanotubes/polydimethylsiloxane, a new coating for 96-blade solid-phase microextraction for determination of phenolic compounds in water
  • DOI:
    10.1016/j.chroma.2013.08.038
  • 发表时间:
    2013-11-22
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Kueseng, Pamornrat;Pawliszyn, Janusz
  • 通讯作者:
    Pawliszyn, Janusz
Multi-class pesticide analysis in cannabis oil using coated blade spray and solid-phase microextraction with liquid chromatography coupled to mass spectrometry
  • DOI:
    10.1016/j.talanta.2020.122036
  • 发表时间:
    2021-01-06
  • 期刊:
  • 影响因子:
    6.1
  • 作者:
    Kasperkiewicz, Alexander;Pawliszyn, Janusz
  • 通讯作者:
    Pawliszyn, Janusz
Multiresidue pesticide quantitation in multiple fruit matrices via automated coated blade spray and liquid chromatography coupled to triple quadrupole mass spectrometry
  • DOI:
    10.1016/j.foodchem.2020.127815
  • 发表时间:
    2021-03-01
  • 期刊:
  • 影响因子:
    8.8
  • 作者:
    Kasperkiewicz, Alexander;Pawliszyn, Janusz
  • 通讯作者:
    Pawliszyn, Janusz
Fast Quantitation of Target Analytes in Small Volumes of Complex Samples by Matrix-Compatible Solid-Phase Microextraction Devices
  • DOI:
    10.1002/anie.201601476
  • 发表时间:
    2016-06-20
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Piri-Moghadam, Hamed;Ahmadi, Fardin;Pawliszyn, Janusz
  • 通讯作者:
    Pawliszyn, Janusz

Pawliszyn, Janusz的其他文献

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{{ truncateString('Pawliszyn, Janusz', 18)}}的其他基金

High Performance Analysis of Complex Organic Mixtures
复杂有机混合物的高性能分析
  • 批准号:
    RGPIN-2019-03904
  • 财政年份:
    2022
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Discovery Grants Program - Individual
New Analytical Methods and Technologies
新的分析方法和技术
  • 批准号:
    CRC-2016-00124
  • 财政年份:
    2022
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Canada Research Chairs
New Analytical Methods And Technologies
新的分析方法和技术
  • 批准号:
    CRC-2016-00124
  • 财政年份:
    2021
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Canada Research Chairs
New Analytical Methods and Technologies
新的分析方法和技术
  • 批准号:
    CRC-2016-00124
  • 财政年份:
    2020
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Canada Research Chairs
High Performance Analysis of Complex Organic Mixtures
复杂有机混合物的高性能分析
  • 批准号:
    RGPIN-2019-03904
  • 财政年份:
    2020
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Discovery Grants Program - Individual
High Performance Analysis of Complex Organic Mixtures
复杂有机混合物的高性能分析
  • 批准号:
    RGPIN-2019-03904
  • 财政年份:
    2019
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Discovery Grants Program - Individual
New Analytical Methods and Technologies
新的分析方法和技术
  • 批准号:
    CRC-2016-00124
  • 财政年份:
    2019
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Canada Research Chairs
NSERC Industrial Research Chair in New Analytical Methods and Technologies for Sample Preparation
NSERC 样品制备新分析方法和技术工业研究主席
  • 批准号:
    184412-2015
  • 财政年份:
    2019
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Industrial Research Chairs
New Analytical Methods and Technologies
新的分析方法和技术
  • 批准号:
    CRC-2016-00124
  • 财政年份:
    2018
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Canada Research Chairs
NSERC Industrial Research Chair in New Analytical Methods and Technologies for Sample Preparation
NSERC 样品制备新分析方法和技术工业研究主席
  • 批准号:
    184412-2015
  • 财政年份:
    2018
  • 资助金额:
    $ 7.65万
  • 项目类别:
    Industrial Research Chairs

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High Performance Analysis of Complex Organic Mixtures
复杂有机混合物的高性能分析
  • 批准号:
    RGPIN-2019-03904
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    2022
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    $ 7.65万
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    Discovery Grants Program - Individual
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复杂有机混合物的高性能分析
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    RGPIN-2019-03904
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    Discovery Grants Program - Individual
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复杂有机混合物的高性能分析
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    RGPIN-2019-03904
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    $ 7.65万
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High Performance Analysis of Complex Organic Mixtures
复杂有机混合物的高性能分析
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  • 批准号:
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复杂有机混合物的高性能分析
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    RGPIN-2014-03702
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    Discovery Grants Program - Individual
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复杂有机混合物的高性能分析
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