ResearchVerify

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 PT-141 from Polaris Peptides. Their purity results ranged from 99.9% 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 nearly identical (12.8 to 13.7 mg).

✓ Multi-Lab Verified · Fair · 5.7

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.

PT-141 from Polaris Peptides
batch POL-PT14110-1 · 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.
Labs
2
Tests
3
1 unparsed
RV Score Mean
5.65
RV Score Spread
0.00
Content Mean
13.2 mg
✓ Content agrees
Content Range
12.8–13.7 mg
CV 2.9%

Per-Lab Breakdown

All rows (Purity & Content vary, everything else constant): Testing 3.1 · Label 8.5 · Custody 4.3 · CI 10.0 · Method HPLC · RV 5.65
LabTaskTest DateRVPurityContentTestingLabelCustodyCIMethod
Chromate#FNR-7uy22e75.6599.90%12.8 mg3.18.54.310.0HPLC
Chromate#FNR-6ghxdxt5.6599.90%13.1 mg3.18.54.310.0HPLC
Krause Analytical#FNR-wzr7t4t5.6599.94%13.7 mg3.18.54.310.0HPLC ~

Unparsed records (1) — excluded from agreement math

LabTaskTest DateStatus
Krause Analytical#FNR-8sh9qbe6 Aug 2025unparseable — excluded from agreement math

These records lack parseable score, purity, and content fields. They're shown here for transparency but don't contribute to the cross-lab agreement statistics above.

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.