Enhancing the annotation of unknown migrants from disposable aluminum containers by integrating molecular networking with non-targeted analysis strategy

Yiyong Zeng

doi:10.1016/j.fpsl.2026.101823

Enhancing the annotation of unknown migrants from disposable aluminum containers by integrating molecular networking with non-targeted analysis strategy

2026-07-29

0

PRE

AI

DOI：10.1016/j.fpsl.2026.101823

Original

Original request for help

Save

Abstract

En 中文

• An MN-based workflow was developed for the rapid annotation of migrants. • Oligomer-derived unknown migrants under full-chain simulation were identified. • Structural elucidation was validated based on the CCS trends measured by cIM-MS. • Fifteen migrants exceeded TTC thresholds, require further toxicological investigation.

Enhancing the annotation of unknown migrants from disposable aluminum containers by integrating molecular networking with non-targeted analysis strategy

Abstract

Journal

Organization