A practical methodology to measure unbiased gas chromatographic retention factor vs. temperature relationships.

摘要: Abstract Compound identification continues to be a major challenge. Gas chromatography–mass spectrometry (GC–MS) is primary tool used for this purpose, but the GC retention information it provides underutilized because existing databases are experimentally restrictive and unreliable. A methodology called “retention projection” has potential overcome these limitations, requires factor (k) vs. T relationship of compound calculate its time. Direct methods measuring k relationships from series isothermal runs tedious time-consuming. Instead, temperature programs can quickly measure relationships, they generally not as accurate when measured way strongly biased by non-ideal behavior system in each runs. In work, we that problem using times 25 n-alkanes back-calculate effective profile hold-up time profiles produced six programs. When were taken into account, two different GC–MS instruments nearly ones isothermally, showing less than two-fold more error. Furthermore, temperature-programmed calculated five other laboratories new had same distribution error isothermally. Free software was developed make easy use. The potentially relatively fast unbiased relationships.