Skip to main contentSkip to main content

Peptide Testing Statistics 2026

Original third-party laboratory data from 1,400+ independent peptide tests conducted between 2024 and February 2026. Free to cite with attribution.

Last updated: April 2026 · Source: ACS Peptide Testing Labs internal dataset

Headline findings

73%

of peptides show purity discrepancies vs. supplier COA claims

8.4 pp

average gap between supplier-claimed and measured purity

27%

of supplier COAs exactly match independent lab results

17%

of samples contain heavy metals above USP safety limits

Methodology

Sample size: 1,400+ peptide samples submitted for independent third-party testing between January 2024 and February 2026.

Methods: Reversed-phase HPLC for purity (Agilent 1260 Infinity, Waters Alliance), ESI-MS / LC-MS/MS for identity, ICP-MS for heavy metals (USP <232>/<233>), GC-MS for residual solvents (ICH Q3C), LAL assay for endotoxin (USP <85>).

Discrepancy definition: A sample is counted as discrepant when measured purity differs from the supplier-provided COA value by more than 1.0 percentage point.

Supplier blinding: Most samples submitted with supplier source disclosed by client; results reported without supplier identification in this aggregate dataset.

License: Statistics on this page may be cited and reproduced under CC-BY 4.0 with attribution to ACS Peptide Testing Labs (acslabtest.com).

Discrepancy rate by peptide class

Percentage of samples in each class where measured purity disagreed with the supplier COA by more than 1 percentage point.

GLP-1 agonists (Semaglutide, Tirzepatide, Retatrutide)81%
Mitochondrial peptides (SS-31, MOTS-c)71%
Research peptides (BPC-157, KPV, Thymulin, Epitalon)69%
Metabolic peptides (NAD+, 5-Amino-1MQ)64%
Growth hormone peptides (Ipamorelin, CJC-1295, Sermorelin)58%

Discrepancy rate by supplier source

Where the peptide was purchased meaningfully predicts COA accuracy.

Marketplace / aggregator platforms87%
Direct online suppliers74%
Specialty research suppliers51%
Compounding pharmacies43%

Most common impurity types

When peptides fail purity expectations, these are the dominant culprits.

Truncated peptide sequences
47% of impure samples
Oxidation products (Met, Cys, Trp)
34%
Deletion sequences
29%
Heavy metals above USP limits
17%
Residual solvents (TFA, DMF, ACN)
12%

Cite this dataset

Free to use in articles, research, and protocols with attribution. Suggested citation:

ACS Peptide Testing Labs (2026). Peptide Testing Statistics 2026: 1,400+ Sample Independent Lab Study. Retrieved from https://acslabtest.com/peptide-testing-statistics

Looking for the underlying methodology articles? Read the COA accuracy study or the discrepancy breakdown.

Verify your own peptides against this dataset

Submit a sample to our US-based lab. HPLC purity, mass spectrometry identity, contaminant screening — results in 9–11 business days.