来自不同加工厂的冷三文鱼的多omics签名概况:洞察破坏动态
Sabrina Macé1, Cécile Rannou2, Marc Jérôme1
1Ifremer, MASAE, Microbiologie Aliment Santé Environnement, F-44000 Nantes, France.
International journal of food microbiology
|May 8, 2025
概括
冷鱼的腐烂因加工厂而异,由特定的微生物群落及其代谢活动驱动. 多omics分析揭示了明显的破坏标志,为质量控制提供了洞察力.
科学领域:
- 食品科学 食品科学 食品科学
- 微生物学 微生物学
- 分析化学 分析化学
背景情况:
- 冷的鱼 (CSS) 容易因加工和储存而腐烂.
- 了解腐烂机制对于保持产品质量和安全至关重要.
研究的目的:
- 在CSS中使用多omics方法调查植物特异性损坏轨迹.
- 为了识别分子特征和微生物驱动破坏.
- 为了关联微生物,生化和感官数据.
主要方法:
- 集成的高通量元编码,挥发性有机化合物 (VOC) 分析,生物化学分析和感官评估.
- 应用统计分析,包括DIABLO框架,用于数据集成.
- 来自三个不同的加工厂的样本进行了比较.
主要成果:
- 确定了特定植物的腐烂途径和分子特征.
- 在储存期间观察到微生物群组成和代谢活动的分歧.
- 与腐烂相关的VOC产生相关的特定细菌属 (例如,光细菌,Aliivibrio).
- 在细菌种群,VOC和感官属性之间建立了强有力的联系.
结论:
- 多omics数据揭示了与加工植物变异相关的CSS中明显的损坏签名.
- 微生物群的组成和代谢活动是CSS损坏的关键驱动因素.
- 这种方法为开发有针对性的干预措施以提高CSS质量提供了潜力.
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