Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
基本信息
- 批准号:RGPIN-2015-06286
- 负责人:
- 金额:$ 3.28万
- 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:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Our program aims to develop advanced chemical separation and molecular characterization technologies for biomedical and biopharmaceutical research. These technologies will also be used in advancing environmental science by providing new tools to identify and fingerprint the source of pollution, tracking their movement and quantify complex multi-component pollutants.
With the solid track record in developing high impact technologies in the last 6 years, we will focus our effort mainly on developing improved continuous electro fluid dynamic purification systems and on-line sample enrichment technologies that are urgently needed in biopharmaceutical and biomedical research. New designs of electro fluid dynamic devices that are simpler to operate and capable of handling real biological samples will be developed to purify bio-active molecules in free solution. On-line pre-concentration devices based on capacitive ion enrichment principles will be designed and constructed to improve the sensitivity of high performance detectors such as mass spectrometer, so that low abundance components in complex samples can be determined with reduced requirement for extensive sample clear-up, and previously hard to detect compounds can be easily observed and characterized.
A more robust and more sensitive capillary electrophoresis mass spectrometry based analytical platform will be created for the characterization of post translational modifications of proteins, as well as exploring the details of structure and function of complex carbohydrate molecules that are attached to the proteins. We will strive to make one of the most coveted analytical method in biopharmaceutical industry, capillary isoelectric focusing coupled to MS, a reality, so that the source of bio-variation of genetically engineered bio-therapeutics can be identified timely without interrupting production. The technologies will also be used to solve the mysteries of in vivo cell surviving mechanisms and in developing protection method to improve patient safety in open heart surgeries.
The wide ranging technologies developed in this area are essential for many of the research and industry activities in Canada and around the world. One of the major concerns for Canadians is the environmental impact of the oil sands bitumen production in Northern Alberta. Because of the complexity of oil sands acids, the toxic by-products of the bitumen recovery process, there are still no regulations regarding to the limit of these compounds released to the environment. We will develop reliable analytical methods to identify representative species and quantify the amount correlating to the total amount of toxic compounds released to the environment, thereby providing critical information needed by regulatory agencies to implement policies that will protect the environment while allowing reasonable industrial activities.
我们的计划旨在为生物医学和生物制药研究开发先进的化学分离和分子表征技术。这些技术还将用于推进环境科学,提供新的工具来识别和识别污染源,跟踪其移动并量化复杂的多组分污染物。
凭借过去6年在开发高影响力技术方面的良好记录,我们将主要致力于开发生物制药和生物医学研究迫切需要的改进型连续电流体动力学纯化系统和在线样品富集技术。新设计的电流体动力学装置,操作更简单,能够处理真实的生物样品将被开发出来,以纯化自由溶液中的生物活性分子。基于电容离子富集原理的在线预富集装置将被设计和构建,以提高质谱仪等高性能检测器的灵敏度,从而使复杂样品中的低丰度组分可以在减少大量样品净化要求的情况下被测定,并且以前难以检测的化合物可以容易地被观察和表征。
一个更强大和更灵敏的基于毛细管电泳质谱的分析平台将被创建用于表征蛋白质的翻译后修饰,以及探索连接到蛋白质的复杂碳水化合物分子的结构和功能的细节。我们将努力使生物制药行业最令人垂涎的分析方法之一,毛细管等电聚焦耦合MS成为现实,以便在不中断生产的情况下及时识别基因工程生物治疗剂的生物变异来源。这些技术还将用于解决体内细胞存活机制的奥秘,并开发保护方法,以提高心脏直视手术中患者的安全性。
在这一领域开发的广泛技术对加拿大和世界各地的许多研究和工业活动至关重要。加拿大人的主要关切之一是北方阿尔伯塔油砂沥青生产对环境的影响。由于油砂酸的复杂性,沥青回收过程的有毒副产物,仍然没有关于这些化合物释放到环境中的限制的规定。我们将开发可靠的分析方法,以确定代表性物种,并量化与释放到环境中的有毒化合物总量相关的数量,从而为监管机构提供所需的关键信息,以实施保护环境的政策,同时允许合理的工业活动。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Chen, David其他文献
Perceptions of Person-Centered Care Following Spinal Cord Injury
- DOI:
10.1016/j.apmr.2016.03.016 - 发表时间:
2016-08-01 - 期刊:
- 影响因子:4.3
- 作者:
Heinemann, Allen W.;LaVela, Sherri L.;Chen, David - 通讯作者:
Chen, David
Open Data: Implications on Privacy in Healthcare Research.
- DOI:
10.30953/bhty.v3.144 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Chen, David - 通讯作者:
Chen, David
Cytokines and acute heart failure.
- DOI:
10.1097/01.ccm.0000297160.48694.90 - 发表时间:
2008-01-01 - 期刊:
- 影响因子:8.8
- 作者:
Chen, David;Assad-Kottner, Christian;Torre-Amione, Guillermo - 通讯作者:
Torre-Amione, Guillermo
Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia
- DOI:
10.1200/cci.18.00137 - 发表时间:
2019-05-21 - 期刊:
- 影响因子:4.2
- 作者:
Chen, David;Goya, Gaurav;Ngufor, Che G. - 通讯作者:
Ngufor, Che G.
Safety of neoadjuvant chemotherapy in patients with muscle-invasive bladder cancer and malignant ureteric obstruction.
- DOI:
10.1111/bju.15410 - 发表时间:
2022-03 - 期刊:
- 影响因子:4.5
- 作者:
Strother, Marshall C.;Kutikov, Alexander;Epstein, Matthew;Bochner, Emily;Deng, Mengying;Handorf, Elizabeth;Lewis, Bianca;Ghatalia, Pooja;Greenberg, Richard E.;Chen, David;Viterbo, Rosalia;Anari, Fern;Smaldone, Marc C.;Zibelman, Matthew R.;Uzzo, Robert G.;Plimack, Elizabeth R.;Geynisman, Daniel M. - 通讯作者:
Geynisman, Daniel M.
Chen, David的其他文献
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{{ truncateString('Chen, David', 18)}}的其他基金
Enabling technologies for high performance mass spectrometry applications
高性能质谱应用的支持技术
- 批准号:
RGPIN-2020-06170 - 财政年份:2022
- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
Enabling technologies for high performance mass spectrometry applications
高性能质谱应用的支持技术
- 批准号:
RGPIN-2020-06170 - 财政年份:2021
- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
Enabling technologies for high performance mass spectrometry applications
高性能质谱应用的支持技术
- 批准号:
RGPIN-2020-06170 - 财政年份:2020
- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
Testing for concerted or independent voltage sensor movement in ion channels
测试离子通道中一致或独立的电压传感器运动
- 批准号:
541140-2019 - 财政年份:2019
- 资助金额:
$ 3.28万 - 项目类别:
University Undergraduate Student Research Awards
Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
- 批准号:
RGPIN-2015-06286 - 财政年份:2019
- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
Measurement of streaming potential for determination of capillary surface characteristics
测量流动电位以确定毛细管表面特性
- 批准号:
531138-2018 - 财政年份:2018
- 资助金额:
$ 3.28万 - 项目类别:
Engage Grants Program
Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
- 批准号:
RGPIN-2015-06286 - 财政年份:2018
- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
- 批准号:
RGPIN-2015-06286 - 财政年份:2017
- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
Molecular imprint polymer for urine biomarker isolation
用于尿液生物标志物分离的分子印迹聚合物
- 批准号:
484791-2015 - 财政年份:2015
- 资助金额:
$ 3.28万 - 项目类别:
Engage Grants Program
Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
- 批准号:
RGPIN-2015-06286 - 财政年份:2015
- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
相似海外基金
Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
- 批准号:
RGPIN-2015-06286 - 财政年份:2019
- 资助金额:
$ 3.28万 - 项目类别:
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Chemical Separation and Detection Techniques and Their Wide Ranging Applications
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$ 3.28万 - 项目类别:
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Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
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- 资助金额:
$ 3.28万 - 项目类别:
Discovery Grants Program - Individual
Chemical Separation and Detection Techniques and Their Wide Ranging Applications
化学分离和检测技术及其广泛应用
- 批准号:
RGPIN-2015-06286 - 财政年份:2015
- 资助金额:
$ 3.28万 - 项目类别:
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高性能化学品分离、纯化和检测系统
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高性能化学品分离、纯化和检测系统
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高性能化学品分离、纯化和检测系统
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通过二维分离、天然荧光检测和免疫选择性光纤传感器对细胞因子和小蛋白进行化学分析
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170235-1995 - 财政年份:1998
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