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
基本信息
- 批准号:531138-2018
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 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
- 来源:
- 关键词:
项目摘要
The proposed project aims to use a new capillary electrophoresis instrument manufactured in the local area to**characterize the surface properties of capillaries coated with various coating materials. Capillary**electrophoresis has become one of the most important analytical separation techniques used in the analysis of**biopharmaceutical industry, biomedical research, and industrial manufacturing activities. Reproducibility of**chemical analysis is essential for all analytical methods. Maintaining a chemically clean surface for the**capillary used in CE in one of the critical conditions for obtaining reproducible migration times. The applicant**will develop strategies and methods to evaluate the relationship between the streaming potential with different**capillary surface conditions, different buffer systems, and different covalent and non-covalent surface coatings.**The results will provide important guidance for researchers and other instrument users in their method**development to generate high quality and reproducible results.
拟议项目旨在使用当地生产的新型毛细管电泳仪,** 表征涂有各种涂层材料的毛细管的表面特性。毛细管电泳已成为生物制药、生物医学研究和工业生产活动中最重要的分析分离技术之一。** 化学分析的重现性对所有分析方法都是必不可少的。在获得可重现迁移时间的关键条件之一中,保持CE中使用的 ** 毛细管的化学清洁表面。申请人 ** 将开发策略和方法,以评估流动电位与不同 ** 毛细管表面条件、不同缓冲系统以及不同共价和非共价表面涂层之间的关系。**这些结果将为研究人员和其他仪器用户的方法 ** 开发提供重要指导,以产生高质量和可重复的结果。
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
Safety of neoadjuvant chemotherapy in patients with muscle-invasive bladder cancer and malignant ureteric obstruction.
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10.1111/bju.15410 - 发表时间:
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10.1016/j.apmr.2016.03.016 - 发表时间:
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Open Data: Implications on Privacy in Healthcare Research.
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Chen, David的其他文献
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{{ truncateString('Chen, David', 18)}}的其他基金
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高性能质谱应用的支持技术
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RGPIN-2020-06170 - 财政年份:2022
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$ 1.82万 - 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
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RGPIN-2020-06170 - 财政年份:2021
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$ 1.82万 - 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
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Molecular imprint polymer for urine biomarker isolation
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