HPLC Testing & Certificates of Analysis (COAs): How Purity and Identity Are Verified

September 11, 2026
HPLC Testing & Certificates of Analysis (COAs): How Purity and Identity Are Verified

In research, results are only as trustworthy as the materials behind them. Two things establish whether a compound is what it claims to be: purity (how much of it is the intended compound) and identity (whether the structure is correct). The main tools for verifying both are HPLC testing and a Certificate of Analysis.

What is HPLC testing?

High-Performance Liquid Chromatography (HPLC) is a separation-and-detection method. A sample is pushed through a pressurized column where its components separate based on their chemical properties, letting the lab measure a purity percentage, spot impurities or degradation products, and confirm batch-to-batch consistency.

Reading an HPLC chromatogram

  • Main peak: represents the target compound.
  • Retention time: how long the compound takes to move through the column.
  • Peak area %: used to calculate purity — a ~98% main-peak area corresponds to roughly 98% purity.
  • Secondary peaks: impurities or byproducts.

What is a Certificate of Analysis (COA)?

A COA is documentation confirming that a specific batch meets defined specifications. It's the transparency record for what testing was done and what it found.

What a COA should include

  • Compound and batch identification.
  • Purity data with HPLC percentages.
  • The analytical methods and instruments used.
  • Identity confirmation (e.g. mass spectrometry / molecular-weight verification).
  • Physical details — appearance, solubility, and storage guidance.

Purity vs identity: why both matter

High purity alone isn't enough — a compound can be pure but structurally wrong. Identity testing, usually by mass spectrometry, confirms the molecular weight and structure actually match what's expected.

Acceptable purity standards

  • 95% or higher for many standard applications.
  • 98% or higher for higher-precision study.
  • Lower levels may be fine for early exploratory work.

The right threshold depends on how sensitive the research is.

How to evaluate a supplier's testing

Look for clear, batch-specific COAs, transparent HPLC data (not just a headline percentage), supporting identity (MS) data, and consistency across lots. A lack of transparency is a warning sign.

This article is for general educational purposes only and is not medical, health, or professional advice.

Related reading: What Are Peptides? · How Stability Affects Research Outcomes · Research Use Only (RUO) Standards