# Ultra-sensitive quantification of the therapeutic cyclic peptide bremelanotide utilizing UHPLC-MS/MS for evaluation of its oral plasma pharmacokinetics.

> PubMed lists PMID 32353679 in Journal of pharmaceutical and biomedical analysis as Journal Article, with publication-date metadata of 2020-03-27 (day precision). PeptideScanner associated the retained record with the identity slug bremelanotide. These fields reproduce attributed bibliographic metadata and do not summarize or endorse the article's findings.

- Evidence object: `story:pubmed-pmid-32353679-bremelanotide:v1`
- Evidence domain: Literature metadata
- Date in source: 2024-08-01
- Source checked: 2026-07-30
- Published by PeptideScanner: 2026-08-13
- Story landing page: https://peptidescanner.com/stories/pubmed-pmid-32353679-bremelanotide/
- JSON record: https://peptidescanner.com/evidence/v1/objects/pubmed-pmid-32353679-bremelanotide-v1.json
- Content SHA-256: `3266431913edbc38831768b23ea6677131f80612341dbaca6bd439cecc9e70dd`

## Claims and source pins

### Headline

Ultra-sensitive quantification of the therapeutic cyclic peptide bremelanotide utilizing UHPLC-MS/MS for evaluation of its oral plasma pharmacokinetics. ([`pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8`](#source-pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8))

### Summary

PubMed lists PMID 32353679 in Journal of pharmaceutical and biomedical analysis as Journal Article, with publication-date metadata of 2020-03-27 (day precision). PeptideScanner associated the retained record with the identity slug bremelanotide. These fields reproduce attributed bibliographic metadata and do not summarize or endorse the article's findings. ([`pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8`](#source-pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8))

### Paragraph 1

PubMed lists PMID 32353679 in Journal of pharmaceutical and biomedical analysis as Journal Article, with publication-date metadata of 2020-03-27 (day precision). PeptideScanner associated the retained record with the identity slug bremelanotide. These fields reproduce attributed bibliographic metadata and do not summarize or endorse the article's findings. ([`pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8`](#source-pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8))

### Paragraph 2

This page reproduces bounded bibliographic metadata attributed to PubMed. Its title and publication details are source metadata, not PeptideScanner's endorsement or an assertion of safety, efficacy, or scientific truth. ([`pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8`](#source-pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8))

## Sources

<a id="source-pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8"></a>
- **Ultra-sensitive quantification of the therapeutic cyclic peptide bremelanotide utilizing UHPLC-MS/MS for evaluation of its oral plasma pharmacokinetics. · retained source version 1:2024-08-01:current:64bb23e1c9c8f11b6337187f517b58fd2462927360cf6103bafd4b901fd57a34** — PubMed; class A. [Open source](https://pubmed.ncbi.nlm.nih.gov/32353679/) (`pubmed-observation-pmid-32353679-2024-08-01-64bb23e1c9c8`)

## Correction lineage

No correction is recorded for this version.

## Reporting boundaries and unknowns

PeptideScanner reproduces bounded bibliographic metadata attributed to PubMed. It does not summarize or endorse the article's findings.

- Sources outside the selected public PeptideScanner bundle may exist and are not represented by this object.
- This object does not determine whether cited records agree, corroborate one another, or establish scientific truth.
- This object does not determine safety, efficacy, causality, or suitability for any person.

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## Suggested citation

PeptideScanner. "Ultra-sensitive quantification of the therapeutic cyclic peptide bremelanotide utilizing UHPLC-MS/MS for evaluation of its oral plasma pharmacokinetics." Version 1, published 2026-08-13. https://peptidescanner.com/evidence/v1/objects/pubmed-pmid-32353679-bremelanotide-v1.json SHA-256: 3266431913edbc38831768b23ea6677131f80612341dbaca6bd439cecc9e70dd.