Outliers in Laboratory Data: When Excluding a Value Is Justified
When can a laboratory legitimately exclude an outlier? Assignable causes, what Grubbs-type tests really show, and why criteria must come first.
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When can a laboratory legitimately exclude an outlier? Assignable causes, what Grubbs-type tests really show, and why criteria must come first.
Deamidation adds 0.984 Da to a peptide. Learn how to tell it from the carbon-13 isotope peak and how it shows up in LC-MS and HPLC data.
What a peptide stability protocol specifies, how real-time and accelerated studies differ, what is tested at each pull, and how a date is derived.
How TFA, formic acid, HFBA and high-pH buffers change peptide HPLC peak shape, retention and MS signal, and why labs often run two separate methods.
Why peptides are separated by gradient rather than isocratic HPLC, how slope and dwell volume shape retention, and why late-run baselines drift.
Why freeze-dried peptides keep some water, how Karl Fischer titration measures it, and why loss on drying and HPLC purity figures tell you something else.
Where peptide cross-contamination happens on the lab bench, how to tell a stray peak from real chemistry, and bench habits that remove the risk by design.
How mass accuracy in ppm works for peptide identity results, what a mass match really proves, and which isomers intact mass alone cannot distinguish.
LOD, LOQ and reporting thresholds explained: why a not detected line on a peptide HPLC report depends on wavelength, sample load and method cutoffs.
Technical vs biological replicates explained: what each measures, why pseudoreplication shrinks error bars, and how to report n honestly.