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 Retatrutide from Peptide-S. Their purity results ranged from 98.8% to 99.9%.
The labs agree
Independent labs landed within 2 points of each other on purity. That is the strongest signal you can get on a batch.
On the actual amount per vial, the labs were far apart (5.4 to 14.8 mg).
✓ Multi-Lab Verified
·
Poor · 5.2
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.
Retatrutide from Peptide-S
batch May 2, 2025 · cross-tested by 2 independent labs
Independent labs agree on this batch within 0.5 RV-score points. Strong cross-validation.
✓ 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.
⚠ 1 record 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.
Reporting-basis mismatch or different denominator — investigate. One lab's measurement is more than 1.8× another's. Counterion plus residual water tops out around 1.3–1.5× even in bad cases, so a spread this large usually means the two labs aren't measuring the same thing — different denominator (per-mL vs per-vial), a dilution-factor mismatch, a decimal slip, or a sample-prep difference. The compound itself may be fine; the disagreement is about how it was quantified. Resolves once method/basis is surfaced per lab.
Same method, results still diverge — investigate. All labs reported HPLC but results diverge — batch heterogeneity, calibration drift, or sample handling worth investigating. When labs share the analytical approach but the numbers don't line up, the divergence is doing real work and deserves a closer look.
Labs
2
Tests
8
RV Score Mean
5.20
RV Score Spread
0.00
Content Mean
8.8 mg
⇄ Basis mismatch
Content Range
5.4–14.8 mg
CV 35.1%
Per-Lab Breakdown
All rows (Purity & Content vary, everything else constant): Testing 3.1 · Label 7.0 · Custody 4.3 · CI 10.0 · Method HPLC · RV 5.20
| Lab | Task | Test Date | RV | Purity | Content | Testing | Label | Custody | CI | Method |
|---|---|---|---|---|---|---|---|---|---|---|
| Freedom Diagnostics | #FNR-mmk2vru | 5.20 | 98.83% | 6.0 mg | 3.1 | 7.0 | 4.3 | 10.0 | HPLC ~ | |
| Freedom Diagnostics | #FNR-zquc75n | 5.20 | 99.04% | 6.0 mg | 3.1 | 7.0 | 4.3 | 10.0 | HPLC ~ | |
| Krause Analytical | #FNR-mpjqy3n | 5.20 | 99.54% | 14.8 mg | 3.1 | 7.0 | 4.3 | 10.0 | HPLC ~ | |
| Krause Analytical | #FNR-cf9jpvv | 5.20 | 99.93% | 9.2 mg | 3.1 | 7.0 | 4.3 | 10.0 | HPLC ~ | |
| Krause Analytical | #FNR-ptr5ax9 | 5.20 | 99.79% | 5.4 mg | 3.1 | 7.0 | 4.3 | 10.0 | HPLC ~ | |
| Krause Analytical | #FNR-7va92fa | 5.20 | 99.57% | 9.9 mg | 3.1 | 7.0 | 4.3 | 10.0 | HPLC ~ | |
| Krause Analytical | #FNR-b7k9avg | 5.20 | 99.63% | 10.1 mg | 3.1 | 7.0 | 4.3 | 10.0 | HPLC ~ | |
| Krause AnalyticalFAILED QC | #FNR-c8qmkyb | 2.50 | — failed | — failed | — | — | — | — | 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.