# LC-MS/MS-Based Metabolomics Identifies 2-Aminopurine as a Predictive Freshness Biomarker in Goose Egg Yolk During Refrigerated Storage

**Authors:** Suyu Fan, Laidi Wang, Yuchun Cai, Hongyan Sun, Wenming Zhao, Guohong Chen, Youqing Bian, Yang Zhang

PMC · DOI: 10.3390/foods15030588 · Foods · 2026-02-06

## TL;DR

This study uses metabolomics to identify 2-aminopurine as a freshness biomarker in goose egg yolks during refrigerated storage.

## Contribution

The study introduces 2-aminopurine as a novel biomarker for assessing goose egg freshness through yolk metabolomics.

## Key findings

- 2-aminopurine levels decline alongside freshness loss in goose egg yolks during storage.
- Purine metabolism is a core pathway affected in yolk aging, with adenosine and 2-aminopurine as key nodes.
- Metabolic changes after 30 days of storage correlate with quality deterioration in goose egg yolks.

## Abstract

Goose yolk, the primary source of nutrients and flavor, is particularly susceptible to quality deterioration during storage, yet its metabolic dynamics remain poorly characterized. To elucidate these changes, we combined physicochemical assays with untargeted LC-MS/MS metabolomics to systematically profile the temporal metabolic alterations in goose egg yolks stored at 4 °C for up to 60 days, using day-1 yolks as fresh controls. Our analysis quantified 1005 metabolites and identified a critical metabolic shift occurring after 30 days of storage. Among 21 significantly altered metabolites, the sustained decline of adenosine and 2-aminopurine, alongside the accumulation of 4-hydroxyretinoic acid, strongly correlated with the loss of egg freshness. Interaction network and pathway analyses pinpointed purine metabolism—with adenosine and 2-aminopurine as central nodes—as a core pathway impaired in yolk during storage. Crucially, we identify 2-aminopurine as a novel, storage-sensitive biomarker for goose egg freshness derived from yolk metabolomics, directly linking intracellular metabolic dysregulation to observable quality decline. This study deciphers the metabolic landscape of goose egg yolk aging and provides a targeted, mechanism-based strategy for yolk-centric quality monitoring and preservation, offering new insights for food composition analysis and safety assurance.

## Linked entities

- **Chemicals:** 2-aminopurine (PubChem CID 9955), adenosine (PubChem CID 60961), 4-hydroxyretinoic acid (PubChem CID 6438629)
- **Species:** Anser cygnoides (taxon 8845)

## Full-text entities

- **Chemicals:** adenosine (MESH:D000241), purine (MESH:C030985), 2-Aminopurine (MESH:D015075), 4-hydroxyretinoic acid (MESH:C019429)
- **Species:** Anser sp. (goose, species) [taxon 8847]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12896707/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12896707/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/PMC12896707/full.md

---
Source: https://tomesphere.com/paper/PMC12896707