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LC-MS Data Extraction, Interpretation and Reporting According to ISO 17025

Date

Training Time

Training Duration

Training Cost (USD)

10th September, 2026
1830-2030 HRS (EAT)
2.5 Hours

$30

LC‑MS Data & Reporting · modern course
The mass spectrometer speaks the truth; your job is to translate it accurately.
LC‑MS USERS DATA INTERPRETATION METHOD DEVELOPERS ISO 17025
  • Designed for: LC‑MS practitioners, analysts, and laboratory staff who generate, process, and report LC‑MS data
  • Ideal for those seeking ISO 17025 compliance and audit‑ready data management
  • Prerequisite: basic understanding of liquid chromatography and mass spectrometry
  • Familiarity with data systems and quality concepts is beneficial
Learning outcomes
  • Extract LC‑MS data accurately from chromatograms and spectra
  • Interpret qualitative and quantitative results in line with analyte chemistry and method scope
  • Apply system suitability and QC criteria to validate results
  • Prepare audit‑ready reports and documentation in compliance with ISO/IEC 17025

LC‑MS DATA EXTRACTION, INTERPRETATION, AND REPORTING

LIVE ONLINE INTERACTIVE SESSION · from raw data to audit‑ready report

The mass spectrometer speaks the truth – your job is to translate it accurately. This course provides a systematic approach to LC‑MS data extraction, interpretation, and reporting, ensuring your results are accurate, reproducible, and fully compliant with ISO 17025.

1. ROLE OF DATA EXTRACTION AND REPORTING IN ISO/IEC 17025
  • Why data interpretation is critical: accurate, reproducible, defensible results; prevents misreporting; connects instrument output to regulatory requirements
  • Relevant ISO/IEC 17025 clauses: measurement traceability, validation of results, nonconforming work, technical competence
2. SYSTEMATIC APPROACH TO LC–MS DATA EXTRACTION
Structured workflow
  • Confirm calibration and system suitability; extract peaks with appropriate software settings; validate MS signals; apply internal standards; document integration parameters, deviations, corrections
Trend‑based verification
  • Monitor peak area, retention time, S/N across batches; identify anomalies (matrix effects, ion suppression, column issues)
Risk‑based decision making
  • When to reprocess raw data; when results may be invalid; when reanalysis is required
3. DATA QUALITY CONTROL AND SYSTEM SUITABILITY
  • Use internal standards, calibration curves, QC samples
  • Evaluate retention time, mass accuracy, peak shape, isotopic patterns
  • Apply acceptance criteria per method validation and SOPs
  • Examples: deviations in RT, peak shape anomalies, unexpected mass shifts
4. DATA INTERPRETATION PRINCIPLES
Qualitative analysis
  • Identify analytes using RT, m/z, MS/MS fragmentation; compare with reference spectra; consider co‑elution and isotopic interference
Quantitative analysis
  • Use calibration curves and internal standards; apply response factors and dilution corrections; evaluate repeatability, recovery, uncertainty
Advanced considerations
  • Isobaric interference, isotopic contributions, adduct formation (Na⁺, K⁺, NH₄⁺), matrix suppression/enhancement
5. TROUBLESHOOTING DATA ISSUES
Common issues
  • Poor peak integration – adjust parameters or manually verify
  • Unexpected signals – check sample prep, contamination, carryover
  • Low MS sensitivity – evaluate column, mobile phase, ion source
  • Nonlinear calibration – verify standards, internal standard performance, dilution errors
Preventive measures
  • Verify calibration and internal standard performance before each batch
  • Maintain QC charts and trend monitoring
  • Cross‑check results against CRMs or previous runs
6. REPORTING AND DOCUMENTATION
ISO/IEC 17025‑compliant reporting
  • Include sample ID, method, instrument, analyst; record internal standard performance, calibration curves, QC results; annotate integration adjustments; document deviations and corrective actions
Best practices for audit‑ready reports
  • Include raw data files and integration screenshots; link values to validated SOPs; maintain traceable records; ensure results are reproducible and defensible
7. COMMON ISO/IEC 17025 NON‑CONFORMITIES (LC‑MS DATA)
  • Failure to document integration adjustments
  • Reporting results from non‑validated or failed runs
  • Missing internal standard or calibration verification
  • Incomplete or non‑traceable data records
  • Ignoring system suitability deviations
8. ONLINE PRACTICAL COMPONENT
  • Virtual exercises: extract peaks from real LC‑MS chromatograms and mass spectra
  • Interpret quantitative and qualitative results using internal standards and calibration curves
  • Identify data anomalies and troubleshoot potential sources (column, sample, instrument)
  • Prepare ISO/IEC 17025‑compliant audit‑ready reports

XIC · MRM · Full scan ISO 17025 reporting
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