Automated Structure Characterisation of Oligosaccharide Mixtures by NMR (ASCOM-NMR)

通过 NMR (ASCOM-NMR) 自动表征低聚糖混合物的结构

• 批准号: 1799719
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1799719
• 关键词: Automated; Structure; Characterisation; Oligosaccharide; Mixtures

Oligosaccharides are the subject of growing commercial interest for a wide range of applications in healthcare and personal care. They are commonly prepared by depolymerisation of polysaccharides which are important industrial biotechnology products from biomass (animal tissue, plant biomass and macroalgae), microalgae and bacterial fermentation. The characterization of oligosaccharide mixtures produced by the depolymerisation is one of the bottlenecks in the discovery and subsequent development of scalable downstream processing of active oligosaccharides. This project aims to develop automated NMR based characterisation of oligosaccharide mixtures without the need for their physical separation.

低聚糖在医疗保健和个人护理领域的广泛应用引起了越来越多的商业兴趣。它们通常由生物质（动物组织、植物生物质和大型藻类）、微藻类和细菌发酵产生的重要工业生物技术产品多糖解聚制备。通过解聚产生的低聚糖混合物的表征是发现和随后开发活性低聚糖可扩展下游加工的瓶颈之一。该项目旨在开发基于核磁共振的低聚糖混合物的自动表征，而无需对其进行物理分离。