Intelligent Automation Of Lc-Ms Analysis For The Characterization Of Compound Libraries

The authors have developed an approach to applying intelligent automation of liquid chromatography-mass spectrometry analysis for analytical screening of compound libraries using Microsoft Visual Basic macros. They performed the initial characterization of compounds using universal analytical methods. Samples that failed to meet selected criteria of analysis were automatically reanalyzed using secondary or alternative analytical conditions. The approach enables automated high-throughput analysis of compounds with diverse chemical properties and does not compromise sample throughput and data quality.