Selectivity comes from requiring a molecule to match two linked features: its precursor ion and the product ion formed after fragmentation. Monitoring that specific transition helps distinguish the target from other molecular signals in a complex sample. This focused measurement is particularly important when clinical specimens contain many compounds that could otherwise complicate quantitative analysis.
The collision cell converts the isolated precursor ion into product ions through fragmentation. These resulting ions provide the second stage of molecular information used for monitoring a selected transition. Because the instrument measures the relationship between the isolated precursor and its fragment, the collision step contributes to the specificity needed for detecting drugs, metabolites, hormones, and biomarkers.
The instrument can track several defined precursor-to-product transitions during the same analytical run. Each transition corresponds to a selected molecular target, allowing measurements for multiple compounds without treating every target as a separate experiment. This multiplexed approach is useful when a clinical or biomedical study needs coordinated information about several drugs, metabolites, hormones, or biomarkers.
Biological samples may contain many molecular signals, so an assay must focus on the compounds relevant to the investigation. Multiple Reaction Mode combines precursor selection with monitoring of a defined fragment transition, narrowing the measurement to selected targets. Its resulting selectivity can improve clinical assay performance and support more reliable quantitative analysis in complex specimens.
The measurement follows a targeted sequence: the instrument isolates the precursor ion associated with a selected molecule, sends it to a collision cell for fragmentation, and monitors the specified product ion. Repeating this transition-based measurement for additional targets enables a single run to produce quantitative information for multiple compounds relevant to the study.
This approach is relevant when the goal is to quantify selected compounds in biological samples rather than survey all molecular signals. Medical applications described for it include clinical assays, therapeutic drug monitoring, pharmacokinetic studies, and measurement of drugs, metabolites, hormones, and other biomarkers. The targeted format is especially valuable when sensitivity and specificity matter.
In pharmacokinetic studies, targeted measurements can track selected drugs or metabolites as part of investigations into their behavior in biological samples. In disease research, the same strategy can quantify biomarkers associated with molecular changes. These applications provide focused quantitative data that can support interpretation of treatment-related measurements or disease-related biochemical patterns.