Upload the result file. LC/MS-IQ compares current run to past runs and reviews the calibration, QCs,
unknowns, and provides instrument-health automatically.
1
Upload Exported Run Data
User action
Start with the file your lab already exports to LIS.
CSV/XML supportAuto Sample Type RecognitionNo Setup Required - Auto Decects Parameters
2
Validates Peaks First
Automated by LC/MS-IQ
LC/MS-IQ checks Signal/Noise, Peak Shape, Retension Time Consistency, Differences from previous runs and other peak-level problems that can
distort run interpretation.
Signal-to-Noise ChecksRetention Time WindowsPeak Width ReviewMissing or Invalid Peaks
3
Review Calibration
Automated by LC/MS-IQ
Calibration is evaluated for R^2, bias, and other acceptance rules before QC and unknowns. If calibration fails for an analyte,
downstream interpretation is blocked for that analyte.
QC review by Westgard rules. Determines 2SD-3SD limits based on history. Displays Levy-Jennings Charts.
QC biasQC signal qualityWestgard reviewAuto Exclusion of bad runs.
5
Unknowns Evaluation
Automated by LC/MS-IQ
Unknown samples are checked for proper retennsion time, peak width, peak shape, signal to noise, RT difference from IS ....
Retention TimeS/NInterferring Peak Detection
6
Trend Method Health
Automated by LC/MS-IQ
Accepted runs feed into historical health monitoring, helping laboratories see drift before it
becomes a daily failure.
Retention Time TrendsSignal-to-Noise TrendsQC PerformanceAnalyte Area History
Decision Logic
Clear Statuses for Each Analyte
LC/MS-IQ separates calibration, QC, and unknown readiness so the reason for a failed analyte is visible
without mixing every issue into one generic status.
Calibration Summary TableQC and unknowns are not evaluated for that analyte.
QC Result TableEach QC listed with value, target, bias and evaluation.
UnknownsLine-by-Line analysis of items to review for each injection as needed.
Build a Faster, Cleaner Daily Review
Start using LCMSIQ at no cost to see how it fits into your existing LC-MS review process.