When more than one lab tests the same batch, we line up their results side by side. When they match, it is the strongest signal you can get. When they do not, that is information too. Here is what these labs found — you decide.
2 independent labs tested this batch of BPC-157 from Pure Health Peptides.
Not enough data to compare
These labs did not report enough overlapping numbers to line up cleanly.
✓ Multi-Lab Verified
·
Poor · 5.1
The two badges above are our blended RV-score view: whether the scores agree, and the overall quality tier. The plain read at the top leads with the labs actual purity numbers, and the full per-lab table is below.
BPC-157 from Pure Health Peptides
vendor batch label "SJZJB0888" · cross-tested by 2 independent labs
Independent labs agree on this batch within 0.5 RV-score points. Strong cross-validation.
ⓘ Batch identity basis: Vendor-claimed batch: 'SJZJB0888'
Grouped by the vendor's batch label. We don't independently verify lot identity — if multiple physical lots were sold under this label, they'd be lumped together here. Use the agreement signal with appropriate caution.
🧞 Identity caveat — Arginate vs acetate salt = same peptide, different salt; merge but track salt for content basis.
⇊ Canonical merge — Records using different spellings/names for the same compound were grouped under the canonical
BPC-157. Source names: BPC 157, BPC-157. Verified by the synonym resolver.
Labs
2
Tests
2
RV Score Mean
5.12
RV Score Spread
0.00
Content Mean
—
Content: —
Content Range
—
CV —
Per-Lab Breakdown
All rows (Purity & Content vary, everything else constant): Testing 3.1 · Label 7.0 · Custody 3.9 · CI 10.0 · RV 5.12
| Lab | Task | Test Date | RV | Purity | Content | Testing | Label | Custody | CI | Method |
|---|---|---|---|---|---|---|---|---|---|---|
| BioRegen | #10099 | 5.12 | 99.98% | — | 3.1 | 7.0 | 3.9 | 10.0 | not stated by lab | |
| MZ Biolabs | #1 | 5.12 | 99.85% | — | 3.1 | 7.0 | 3.9 | 10.0 | not stated by lab |
Why this matters: A single COA is one lab's answer from one method on one sample. Multiple labs reveal the pattern. When labs converge on the same answer, that's strong cross-validation. When they diverge — especially on content while agreeing on purity — the difference is often method-driven (different quantitation basis) but sometimes signals real product variation. ResearchVerify is the only platform that surfaces both cases automatically across thousands of cross-tests.