GC-MS identifies unknowns through library searching, retention indices, deconvolution, and spectral interpretation.

FTIR identifies unknown compounds through spectral library matching, isomer differentiation, quantitation, and chemometric analysis.

LC-DAD identifies unknowns using spectral matching, peak purity assessment, retention times, and isomer discrimination.

Understanding GC-MS spectral interpretation fundamentals improves compound identification beyond library search results.

Standard addition compensates for matrix effects, enabling accurate quantitation in complex analytical samples.

Hyper-dimensional datasets create false positives; QC filtering and multiple-testing corrections improve statistical reliability.

GC and LC sample introduction require distinct optimization approaches for robust, reproducible chromatography.

Shewhart charts monitor process stability, detect trends, control quality, and support reliable results.

LIMS improves sample tracking, data integrity, workflow efficiency, reporting, and laboratory management.