Data processing methods for automated nuclear magnetic resonance (NMR) analysis

自动核磁共振 (NMR) 分析的数据处理方法

• 批准号: 101250
• 金额: $ 29.01万
• 依托单位: OXFORD INSTRUMENTS INDUSTRIAL PRODUCTS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=101250
• 关键词: Data; processing; methods; automated; nuclear

Nuclear Magnetic Resonance (NMR) spectroscopy is a method ideally suited to measuring subtle chemical changes. Unfortunately the exploitation of this chemical sensitivity for process control and quality assurance is hampered by the high costs involved in buying and maintaining a spectrometer and the necessity for expert staff. The issue of cost is being addressed by Oxford Instruments, however deskilling data acquisition and data processing is of critical importance. The funding obtained from the Technology Strategy Board brings together Oxford Instruments and the Institute of Food Research. The combined expertise will allow us to exploit the advantages of low cost instrumentation and robust data analysis to provide automated process control and quality assurance solutions.

核磁共振（NMR）光谱是一种非常适合测量细微化学变化的方法。不幸的是，利用这种化学敏感性进行过程控制和质量保证受到购买和维护光谱仪所涉及的高成本以及专家工作人员的必要性的阻碍。牛津仪器公司正在解决成本问题，但数据采集和数据处理的去技能化至关重要。从技术战略委员会获得的资金汇集了牛津仪器和食品研究所。结合的专业知识将使我们能够利用低成本仪器和强大的数据分析的优势，提供自动化的过程控制和质量保证解决方案。