Chemistry & analysis

How to read an HPLC chromatogram

Revial Labs Research · · 8 min read

A purity figure on a certificate of analysis is a summary of a chromatogram. Being able to read the chromatogram itself tells you far more than the number alone, including whether you should trust that number.

The set-up

Most peptide purity testing uses reverse-phase HPLC. The column is packed with silica particles coated in long hydrocarbon chains, typically C18. The mobile phase starts mostly as water and gradually shifts towards an organic solvent, usually acetonitrile. Both typically contain about 0.1% trifluoroacetic acid to keep peaks sharp. More hydrophobic molecules stick to the column longer and come off later in this gradient.

Reading the axes

What you'll typically see

  1. The solvent front: a disturbance near the start where unretained material comes through. It isn't counted in purity.
  2. The main peak: the target peptide, ideally tall, narrow and symmetrical.
  3. Impurity peaks: smaller peaks either side. Deletion sequences often elute close to the main peak, and more hydrophobic by-products elute later.
  4. Baseline drift: a gentle rise as the organic content increases. It's normal, but it has to be handled carefully when peaks are integrated.
Annotated example HPLC chromatogram03691215Retention time (min)UV absorbance, 214 nmSolvent front (not counted)Small impurity peaksMain peak: target peptideShoulder: possibleco-eluting impurityLate-eluting impuritybaseline drift
An illustrative reverse-phase HPLC chromatogram (simulated data) showing the features described above. Purity is the main peak area divided by the total integrated peak area.

How purity is calculated

Software integrates each peak, measuring the area between the peak and the baseline. Purity is the main peak's area as a percentage of the total area of all integrated peaks:

Purity (%) = main peak area ÷ total peak area × 100

This is an area percent measure. It assumes every component absorbs UV about equally, which is a reasonable approximation for closely related peptide impurities but not an exact one.

Things that affect the number

IssueWhat it looks likeWhy it matters
Co-elutionA shoulder on the main peak, or none at allAn impurity hidden under the main peak inflates the purity figure
Integration settingsSmall peaks below a threshold are ignoredExcluding small peaks raises the reported purity
Peak tailingA main peak with a long trailing edgeCan hide late-eluting impurities and suggests column or method problems
Gradient too steepPeaks bunched togetherPoor separation; impurities can merge with the main peak
Short run timeThe trace stops soon after the main peakLate-eluting impurities may never be seen

What good practice looks like

Purity tells you how clean a sample is. Identity is a separate question, answered by mass spectrometry. See Mass spectrometry explained.

Related articles

Sources and further reading

  1. Mant CT et al. HPLC analysis and purification of peptides. Methods Mol Biol 2007;386:3–55. doi:10.1007/978-1-59745-430-8_1 · PMID: 18604941
  2. International Council for Harmonisation. Quality guidelines, including Q2(R2) Validation of Analytical Procedures. www.ich.org/page/quality-guidelines