How purity and impurity profiles affect reproducibility, assay reliability and data quality in the laboratory.
Research note · 4 June 2026 · ~3 min read
Purity is one of the most important — and most overlooked — properties of a research peptide. A few percentage points can be the difference between a clean, reproducible result and a confounded one. This note explains why.
Purity, typically reported by HPLC, is the proportion of a sample that is the target compound rather than impurities. A figure of ≥99% means that at least 99% of the measured material is the intended peptide, with impurities making up the remainder. The higher the figure, the less unknown material is present.
A high purity figure should be paired with confirmed identity. A sample can be 99% pure and still be the wrong molecule. That is why purity (HPLC) and identity (mass spectrometry) are reported together on a complete Certificate of Analysis — see our note on reading a COA.
For research where reproducibility matters, prioritise material with a stated high-purity threshold measured by HPLC, identity confirmed by MS, and a per-batch COA so each lot is independently characterised. Consistency across batches is as valuable as the headline number.
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