AI summary Trust: low Forum scrape

This COA was extracted from a community forum / Discord channel. The original poster claimed a lab tested Jett Labs' BPC-157 + Thymosin Beta-4 blend, reporting 97.411% purity via HPLC with UV Detection Coupled with Mass Spectrometry. The blend components were reported as 10.91mg for BPC-157 (10mg label) and 10.16mg for Thymosin Beta-4 (10mg label). The image has passed through at least one re-share, so the lab's signature is not directly verifiable, creating a chain-of-custody gap. This should be treated as community signal, not confirmation.

Watch out for
  • chain-of-custody gap
  • unknown lab
  • no endotoxin test
Test date
2025-12-03
Purity
97.411%
Blend tests typically measure quantity per component, not purity. Purity assays for multi-peptide samples need separate chromatographic runs the standalone quantity report doesn't include.
Batch / lot
Lab
Unknown
Quantity
label 20mg tested
Qty vs label
Endotoxins
Test score
Blend
Manufacturer
Jett Labs
View vendor dossier
Source

Forum / Discord scrape

⚠ Asserted only
No verifiable evidence captured. This entry was added to our corpus from Forum / Discord scrape. We did not save the certificate image, did not hash an artifact, and the upstream URL is either a domain root or absent — we cannot independently confirm this report existed. Treat as curator-asserted only.
Method
HPLC + MS
Dose
20mg
Catalogued
2026-04-17
OCR text

Raw extracted text

Extracted via OCR. Names, emails, phone numbers, and street addresses are auto-redacted before display.

{
  "peptide": "BPC-157 + Thymosin Beta-4",
  "dose": "20mg",
  "purity_pct": null,
  "purity_label": "97.411%",
  "method": "HPLC with UV Detection Coupled with Mass Spectrometry",
  "test_date": "2025-12-03",
  "client": "Jett Labs",
  "notes": "",
  "label_qty": "20mg",
  "tested_qty": "",
  "quantity_deviation_pct": null,
  "is_blend": true,
  "components_json": "[{[NAME_REDACTED] Beta-4\",\"tested_mg\":10.16,\"label_mg\":10}]",
  "ocr_confidence": 0.95
}
This COA is part of TitrateLab's community-trust corpus. See more from Jett Labs or learn how trust scores are computed on the methodology page.