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Common Peptide Purity Discrepancies: What Our Lab Data Reveals

73% of peptides submitted for independent testing show purity discrepancies versus supplier claims. Our analysis of 1,200+ samples reveals the most common issues, which peptide categories are most affected, and what researchers should watch for.

February 15, 2026
Last reviewed

73% of Peptides We Test Show Purity Discrepancies vs. Supplier Claims

73% of peptide samples submitted to ACS Peptide Testing Labs for independent verification show measurable purity discrepancies compared to the supplier's Certificate of Analysis (COA). This finding is based on our analysis of over 1,200 peptide samples tested between 2024 and early 2026.

This article presents the full breakdown of our data, which peptide categories are most affected, the average size of discrepancies, and the most common types of impurities we detect.

Summary of Key Findings

  • 73% of samples show purity lower than supplier claims
  • Average purity discrepancy: 8.4 percentage points below claimed purity
  • 41% of samples have discrepancies greater than 10 percentage points
  • 17% of samples contain detectable levels of heavy metals (lead, cadmium, or mercury)
  • GLP-1 receptor agonists (Semaglutide, Tirzepatide) show the highest discrepancy rates at 81%
  • Only 27% of supplier COAs exactly matched our independent results

Purity Discrepancy by Peptide Category

Our data reveals significant variation across peptide categories. The following statistics reflect samples tested at ACS Peptide Testing Labs using validated RP-HPLC methodology:

GLP-1 Receptor Agonists (Semaglutide, Tirzepatide, Retatrutide)

  • Samples tested: 340+
  • Discrepancy rate: 81%
  • Average purity gap: 11.2 percentage points
  • Most common issue: Truncated sequences and oxidation byproducts
  • Samples below 90% actual purity: 38%

GLP-1 peptides are the most frequently misrepresented category we test. The complexity of these molecules. Semaglutide is a 31-amino-acid peptide with a fatty acid chain, makes them difficult to synthesize at high purity, yet many suppliers claim 98-99% purity.

Research Peptides (BPC-157, KPV, Thymulin, Epitalon)

  • Samples tested: 420+
  • Discrepancy rate: 69%
  • Average purity gap: 7.1 percentage points
  • Most common issue: Incomplete deprotection and deletion sequences
  • Samples below 90% actual purity: 24%

Metabolic Peptides (NAD+, MOTS-c, 5-Amino-1MQ)

  • Samples tested: 280+
  • Discrepancy rate: 64%
  • Average purity gap: 6.3 percentage points
  • Most common issue: Degradation products from poor storage/shipping
  • Samples below 90% actual purity: 19%

Custom/Specialty Peptides

  • Samples tested: 160+
  • Discrepancy rate: 58%
  • Average purity gap: 5.8 percentage points

Most Common Types of Impurities Detected

Based on our LC-MS and HPLC analysis of 1,200+ samples, these are the most frequently identified impurity types:

1. Truncated Sequences (Found in 47% of Impure Samples)

Truncated peptide sequences, where synthesis terminates prematurely, are the most common impurity. These fragments share similar chromatographic properties to the target peptide, making them easy to miss without proper analytical methods.

2. Oxidation Products (Found in 34% of Impure Samples)

Methionine and tryptophan oxidation is the second most common issue. This often indicates poor handling, improper storage, or degradation during shipping rather than synthesis quality issues.

3. Deletion Sequences (Found in 28% of Impure Samples)

Deletion peptides, missing one or more amino acids, are particularly concerning because they may retain partial biological activity but with unpredictable effects.

4. Residual Solvents (Found in 22% of Impure Samples)

TFA (trifluoroacetic acid), acetonitrile, and DMF residues above ICH Q3C limits indicate insufficient purification. We detect residual solvents using GC-MS analysis.

5. Heavy Metal Contamination (Found in 17% of Samples)

Lead, cadmium, and mercury at detectable levels above USP limits. Detected via ICP-MS with sub-ppb sensitivity.


COA Accuracy: The Data

Our comparison of supplier-provided COAs against our independent results reveals:

Accuracy CategoryPercentageDescription
Exact match (within 2%)27%COA purity matches our results
Minor discrepancy (2-5%)22%Slightly inflated but acceptable
Moderate discrepancy (5-10%)21%Significant overstatement of purity
Major discrepancy (10-20%)19%Seriously misleading COA
Critical discrepancy (>20%)11%COA bears no resemblance to actual purity
The key finding: 51% of peptide COAs overstate purity by more than 5 percentage points. This means over half of supplier COAs are significantly misleading.

Need Your Peptides Tested?

ACS Peptide Testing Labs provides fast, accurate HPLC purity testing, mass spectrometry identity confirmation, and comprehensive Certificate of Analysis.

Which Suppliers Have the Worst Track Records?

While we do not name specific suppliers, our data reveals patterns by supplier type:

  • Direct-from-manufacturer suppliers: 52% discrepancy rate (lowest)
  • Resellers/white-label suppliers: 79% discrepancy rate
  • Marketplace/aggregator platforms: 87% discrepancy rate (highest)
  • Compounding pharmacies: 43% discrepancy rate (lowest overall)

Compounding pharmacies tend to have the most accurate COAs because they are subject to state board oversight and FDA regulation.


How Purity Discrepancies Affect Research

Purity discrepancies directly impact experimental outcomes:

  • Dose-response curves become unreliable when actual peptide content differs from assumed purity
  • Reproducibility suffers when different batches have different actual purities
  • Safety is compromised in preclinical studies using impure peptides with unknown contaminants
  • Publication integrity is questioned when peptide quality cannot be verified

A 10-percentage-point purity discrepancy means researchers are effectively using 10% less active peptide than intended, enough to invalidate dose-dependent results.


What Researchers Should Do

Based on our data, we recommend:

  1. Always verify with independent testing. Never rely solely on supplier COAs. Our data shows 73% are inaccurate.
  2. Prioritize GLP-1 peptides for testing. These show the highest discrepancy rates (81%) and are used in sensitive metabolic research.
  3. Request chromatograms. Suppliers who provide HPLC chromatograms (not just a purity number) tend to have more accurate COAs.
  4. Test every new batch. Batch-to-batch variation is significant. 34% of repeat customers find different purities across batches from the same supplier.
  5. Use a specialized peptide testing lab. General analytical labs may lack the optimized methods needed for accurate peptide analysis.

Our Testing Methodology

All statistics in this article are based on testing performed at ACS Peptide Testing Labs using:

  • RP-HPLC (Agilent 1260 Infinity) with UV detection at 220nm
  • LC-MS/MS for identity confirmation and impurity identification
  • ICP-MS for heavy metal screening
  • GC-MS for residual solvent analysis
  • USP/ICH-compliant methods throughout

Every sample undergoes the same validated analytical protocol regardless of the supplier or claimed purity.


Get Your Peptides Tested

Don't rely on supplier claims alone. Request a quote for independent peptide testing from ACS Peptide Testing Labs. We accept samples shipped overnight from anywhere in the United States and provide results within 9-11 business days.

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