Suppr超能文献

药物分析的新见解。

New insights in pharmaceutical analysis.

作者信息

Guillarme Davy, Schappler Julie, Boccard Julien, Veuthey Jean-Luc, Rudaz Serge

机构信息

Research Unit of Pharmaceutical Analytical Chemistry, School of Pharmaceutical Sciences, Geneva-Lausanne, University of Geneva, 20 bd d'Yvoy CH-1211 Geneva 4, Switzerland.

出版信息

Chimia (Aarau). 2012;66(5):330-4. doi: 10.2533/chimia.2012.330.

Abstract

The research unit of pharmaceutical analytical chemistry (PAC) has been active in the field of separation sciences for many years. Liquid chromatography (LC) and its latest improvements such as ultra-high performance chromatography (UHPLC) and supercritical fluid chromatography (SFC) are deeply and thoroughly studied, from a fundamental viewpoint to its various application capabilities. Electro-driven separations such as capillary electrophoresis (CE) are also a major field of interest, especially for macromolecules, and low cost. All these techniques are investigated with various detection modes including mass spectrometry (MS) for various applications where high sensitivity and selectivity is needed. Extracting the relevant information from the overwhelming amount of data generated by modern analytical platforms has become an important issue for knowledge discovery in various research fields. The appropriate treatment of such data is therefore of crucial importance to provide valuable information. Numerous works in our research group have demonstrated the usefulness of statistical and mathematical methodologies to improve quality of the results. Therefore, well-established chemometric approaches (e.g. design of experiments, multivariate data analysis, etc.) are implemented to optimize the analytical process from method development to data analysis.

摘要

药物分析化学(PAC)研究单位多年来一直活跃于分离科学领域。从基础层面到各种应用能力,对液相色谱(LC)及其最新改进技术,如超高效液相色谱(UHPLC)和超临界流体色谱(SFC)进行了深入且全面的研究。电驱动分离技术,如毛细管电泳(CE),也是一个主要的研究领域,特别是对于大分子物质,且成本较低。所有这些技术都采用了包括质谱(MS)在内的各种检测模式进行研究,以用于需要高灵敏度和选择性的各种应用。从现代分析平台产生的大量数据中提取相关信息,已成为各个研究领域知识发现的一个重要问题。因此,对这些数据进行适当处理对于提供有价值的信息至关重要。我们研究小组的大量工作已经证明了统计和数学方法在提高结果质量方面的有用性。因此,采用了成熟的化学计量学方法(如实验设计、多元数据分析等)来优化从方法开发到数据分析的分析过程。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验