摘要
近年来,质谱在药物鉴定中的应用日益广泛,许多质谱采集及数据挖掘技术,如全信息串联质谱(MSE)扫描、提取离子流技术、中性丢失过滤技术、产物离子过滤技术等,也相应得到较大程度的开发和发展。其中一种基于高分辨质谱数据的过滤技术——质量亏损过滤技术(MDF),根据代谢物与原形药物具有相近的质量亏损这一规律,对采集的高分辨质谱数据进行处理和识别,通过一次或有限几次进样可从复杂背景中发现和鉴定药物及其代谢产物,显现出独特的优势。
In recent years,with the development of the high resolution mass spectrometry,its application in medical field has expanded,followed by the development and exploitation of the related data mining techniques of mass spectrometry,such as extract ion chromatography technology,neutral lost filtering technology,and product ion filtering technology.In all of those methods,a novel date filtering technology,the mass defect filter(MDF) which is produced by processing and identifying the collected dates according to the similarity mass defect between prototype drugs and its metabolites can select and identify drug and its metabolites from complex matrix via once or limited injection.And it had shown greatest advantage in this field.
出处
《天津中医药》
CAS
2016年第12期765-768,共4页
Tianjin Journal of Traditional Chinese Medicine
基金
国家自然科学基金项目(81173523
81303182)
国家重大新药创制项目(2012ZX09101202)
国家973计划项目(2012CB723504)
关键词
质量亏损过滤
代谢物鉴定
中药成分鉴定
mass defect filter
metabolites identification
traditional Chinese medicine ingredient identification
