质谱法
分辨率(逻辑)
仪表(计算机编程)
色谱法
化学
分析技术
液相色谱-质谱法
工艺工程
计算机科学
人工智能
工程类
操作系统
有机化学
作者
Vanitha Madhuri Tadepalli,Santhosh Kumar Sorapalli,Kishore Babu Kagitha,Navya Sri Doddi,Mamatha Alla,Mahalakshmi Nagidi,Edward Raju Gope,D Raghava,Nageswara Rao K
摘要
Liquid Chromatography-Mass Spectrometry (LC-MS) has emerged as a powerful analytical technique combining the separation capabilities of liquid chromatography with the high sensitivity and selectivity of mass spectrometry. This sophisticated instrumentation enables precise identification and quantification of complex chemical mixtures across diverse fields including pharmaceuticals, environmental monitoring, food safety, and biological research. Modern LC-MS systems offer enhanced resolution, improved ionization methods, and sophisticated mass analyzers that facilitate accurate molecular weight determination and structural elucidation of compounds. Recent technological advancements have led to the development of ultra-high-performance liquid chromatography (UHPLC) systems coupled with high-resolution mass spectrometers, enabling faster analysis times and improved detection limits. The versatility of LC-MS is demonstrated through its applications in proteomics, metabolomics, drug development, and quality control processes. Integration of artificial intelligence and machine learning algorithms has further enhanced data processing capabilities, allowing for automated peak identification and complex mixture analysis. The continuous evolution of LC-MS technology has addressed previous limitations in ionization efficiency, matrix effects, and quantification accuracy. This analytical technique has revolutionized chemical analysis by providing comprehensive molecular information, making it an indispensable tool in modern analytical laboratories.
科研通智能强力驱动
Strongly Powered by AbleSci AI