Simulation and optimisation of retention in ion chromatography with multi-step elution profiles

具有多步洗脱曲线的离子色谱保留模拟和优化

• 批准号: DP1094628
• 负责人: Em/Prof Paul Haddad
• 金额: $ 37.53万
• 依托单位: University of Tasmania
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-01-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP1094628
• 关键词: Simulation; optimisation; retention; ion; chromatography

Current methodology in ion chromatography (IC) is limited in that the ability to perform multi-step elution and multi-dimensional separations is underutilised. The proposed research will provide a huge increase in usable separation power so that samples of extreme complexity can be analysed rapidly and simply. Samples of this type occur in many fields, including environmental, clinical, forensic, energy generation and foods. The ability to directly address such samples will therefore provide benefit to a wide range of sciences of great importance to Australia. Moreover, the proposed research will lead to significant new intellectual property which can be commercialised, thereby providing further direct national benefit.

离子色谱（IC）中的当前方法受到限制，因为执行多步洗脱和多维分离的能力未得到充分利用。拟议的研究将大大提高可用的分离能力，以便能够快速简单地分析极端复杂的样品。这种类型的样品出现在许多领域，包括环境，临床，法医，能源生产和食品。因此，直接处理这些样本的能力将有利于对澳大利亚非常重要的广泛科学。此外，拟议中的研究将产生重要的新知识产权，可以商业化，从而提供进一步的直接国家利益。