LCMSConfirmationQualityChecker

LC-MS Confirmation Quality Checker — Structural Confirmation by LC-MS

ℹ️  Utility checks critical parameters of substance identification by High Resolution Mass Spectrometry (HRMS):
   • Mass Error: ≤5.0 ppm
   • Isotope Pattern Match: ≥90.0%
   • Spectral Purity: ≥0.95

⚠️  CRITICAL: Large mass deviation (>5 ppm) indicates incorrect elemental formula!
   Low spectral purity may indicate presence of co-eluting impurities.

Usage:
 LCMSConfirmationQualityChecker.exe                            → demo mode (console output)
 LCMSConfirmationQualityChecker.exe input.csv output.json      → evaluate your data

Input format:
BatchNumber,ObservedMass,TheoreticalMass,MassErrorPPM,IsotopeRatioMatchPercent,SpectralPurityScore

Example:
 LCMS-CONF-2026-001,325.1234,325.1230,1.2,98.5,0.99

— WHY IS THIS NEEDED?
LC-MS is the gold standard for confirming structure of Active Pharmaceutical Ingredients (APIs) and identifying unknown impurities.
• High mass accuracy allows determination of elemental composition with high probability.
• Isotope pattern (distribution of C13, N15, Cl37, etc.) is a unique "fingerprint" of the molecule.
• Required by regulators (ICH Q3A, Q3B) for characterization of impurities above identification threshold.
• Automation of criteria check eliminates subjectivity in interpreting complex spectra.

⚠️  CRITICAL:
• Mass spectrometer calibration must be performed before each analysis series.
• Accurate mass alone is insufficient for confident identification; isotope distribution match is required.
• Co-elution can distort mass spectrum and lead to false conclusions.
• Use of high-resolution instruments (QTOF, Orbitrap) is mandatory to achieve <5 ppm accuracy.

Key features:
• Verification of mass accuracy in ppm.
• Assessment of theoretical vs experimental isotope pattern match.
• Spectrum quality (purity) control.

Critical parameters:
• Mass Error: <= 5.0 ppm
• Isotope Match: >= 90.0%
• Spectral Purity: >= 0.95

💡 Usage tips:
1. Use internal standards to correct for mass drift over time.
2. Optimize collision energy (CID) to obtain informative fragments (MS/MS).
3. Check for adducts (Na, K, Formate) when interpreting spectra.
4. Use high-resolution chromatographic separation for complex matrices.
5. Save raw data (.raw/.d) for future reprocessing capabilities.

⚠️ Note: Unlike UV detection, MS provides information about mass and structure, allowing identification of substances without reference standards (when using mass spectral libraries).