Abstract

Ghost peaks in liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) pose significant analytical challenges, frequently resulting in inaccurate data interpretation and reduced analytical accuracy. This work carefully examines the detection, separation, and removal of ghost peaks. Ghost peak sources are classified as contamination, instrumental antiques, and matrix effects. Strict method validation and advanced data analysis techniques, such as baseline correction and retention time alignment, can clearly tell the difference between real signals and ghost peaks. The research further investigates methodologies to reduce ghost peaks by improving sample preparation processes, rigorous equipment calibration, and methodological advancements. Advanced detection techniques, such as dynamic multiple reaction monitoring (DMRM) and high- resolution mass spectrometry (HRMS), have been evaluated for their capacity to improve selectivity and sensitivity. These approaches substantially diminish ghost peaks, thereby enhancing the dependability of LC-MS/MS data. The suggested method enhances the precision of both quantitative and qualitative investigations, with significant implications for pharmaceutical research, environmental monitoring, and food quality assessments.