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.
4 independent labs tested this batch of BPC-157 from Deuschem.
Not enough data to compare
These labs did not report enough overlapping numbers to line up cleanly.
Insufficient data
·
Quality: —
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 Deuschem
batch EJ98516 · cross-tested by 4 independent labs
Not enough comparable measurements to classify agreement.
✓ Batch identity basis: Same physical sample (Finnrick multi-lab program)
All records carry Finnrick (FNR-*) task IDs, meaning one physical vial was routed by Finnrick to multiple labs and each lab tested it independently. This is the strongest basis for 'same batch' — there's no batch heterogeneity between labs because there's no batch difference: it's the same vial.
⚠ 4 records in this group failed QC.
Flagged "FAILED QC" in the table below with the specific reason. Failure markers are categorical, not continuous measurements — they're excluded from the agreement / outlier math (a vial that failed isn't an "unusually low purity"). They remain visible because a buyer should know a vial in this batch failed.
🧞 Identity caveat — Arginate vs acetate salt = same peptide, different salt; merge but track salt for content basis.
Labs
4
Tests
4
RV Score Mean
—
RV Score Spread
—
Content Mean
—
Content: —
Content Range
—
CV —
Per-Lab Breakdown
| Lab | Task | Test Date | RV | Purity | Content | Testing | Label | Custody | CI | Method |
|---|---|---|---|---|---|---|---|---|---|---|
| ChromateFAILED QC | #FNR-n9a37sj | 1.00 | — failed | — failed | 0.0 | 7.0 | 4.3 | 6.0 | HPLC | |
| Freedom DiagnosticsFAILED QC | #FNR-5tqft43 | 1.00 | — failed | — failed | 0.0 | 7.0 | 4.3 | 6.0 | HPLC | |
| JanoshikFAILED QC | #FNR-fnn83r5 | 1.00 | — failed | — failed | 0.0 | 7.0 | 4.3 | 6.0 | HPLC | |
| Krause AnalyticalFAILED QC | #FNR-rsg819x | 1.00 | — failed | — failed | 0.0 | 7.0 | 4.3 | 6.0 | HPLC |
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.