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GUIDE

Peptide Purity Percentages — What Do They Actually Mean?

How to read an HPLC purity number on a research peptide COA—what it counts, what it leaves out, and why a few tenths of a percent can matter when you compare lots.

What a purity percentage represents

On a peptide Certificate of Analysis (COA), purity is a share of what the lab’s method actually detected. If the report says 99.5% by HPLC, that means roughly 99.5% of the integrated detector signal sits under the main peptide peak. The other ~0.5% sits under other peaks the method picked up.

So it’s a relative composition number for that run—not a claim about biology, and not a blank check for every vial with a similar label. It only describes the sample and batch named on that report.

How purity is measured

Most research peptide purity figures come from HPLC (high-performance liquid chromatography). You dissolve the sample, push it through a packed column, and different compounds move at different speeds. They hit the detector at different times.

The chromatogram is that detector trace over time. Each peak is something that eluted. Analysts integrate the area under each peak. For a typical area-percent purity, you take the main peak area, divide by the total area of all integrated peaks, and convert to a percentage.

Method details matter—wavelength, column, integration rules. That’s why a lone percentage stripped into a summary is weaker than the full report with the chromatogram attached.

What the remaining percentage could be

Whatever isn’t the main peak is the impurity load that HPLC saw. Depending on synthesis, cleanup, and storage, that can include residual solvents (if the method detects them), synthesis byproducts, truncated sequences, closely related peptides, or degradation products.

Here’s the catch: some impurities won’t show up at the settings used. So “100% minus purity” means “other peaks on this chromatogram,” not a complete inventory of everything in the vial. Other tests on the same COA can help you interpret those peaks when they’re listed.

The difference between 99.0% and 99.8%

The gap looks tiny on a label. The impurity load doesn’t.

At 99.0% purity you’ve got about 1.0% other integrated material. At 99.6% you’ve got about 0.4%. That’s roughly 2.5× more non-target peak area at 99.0% than at 99.6% (1.0 ÷ 0.4 = 2.5). Stack 99.0% against 99.8% and you’re comparing 1.0% vs 0.2%—a fivefold difference in that impurity-peak load under the same style of calculation.

Those ratios don’t tell you whether the impurities matter for your assay. That depends on what they are and what you’re measuring. They do explain why people comparing lots still care about tenths of a percent.

Why purity is not the only metric

Identity matters just as much. A sample that’s 99.9% “pure” by HPLC is useless if the main peak isn’t the peptide you think it is. Labs usually back identity with mass spectrometry or another orthogonal test on the report—read those fields with the chromatogram.

Quantity matters too. Purity says how the detected signal splits; it doesn’t say how many milligrams are in the vial. Content or assay results (when reported) answer that. A solid research COA ties identity, purity, and quantity to the same batch. Each answers a different question.

How to verify a purity claim

Don’t stop at a screenshot. If the testing lab offers a public check, match the task or report ID on the COA to the lab’s own record.

One option is Janoshik’s tool at janoshik.com/verify. Enter the task number from a Janoshik report and you’ll pull the original lab record—so you can confirm the purity (and the rest of the fields) match what the lab actually issued.

Purity as one part of the quality picture

Treat purity as one measurement in a set: chromatogram, identity, quantity, batch ID, and how the material was stored. A high number is useful. It isn’t a substitute for a full, verifiable lab report on the lot you actually have. When those pieces line up—and you can check the lab record yourself—you’ve got a much stronger paper trail for that batch.