野生和养殖的四大中国鱼的可追溯性使用基于高分辨率质谱的蛋白质学与多变量统计分析相结合
Xiaojing Yu1, Jinyue Yang2, Zhenxing Wu3
1College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China.
Journal of agricultural and food chemistry
|January 16, 2026
概括
蛋白质学确定了24种蛋白质生物标志物,以区分野生和养殖的中国鱼. 这些发现有助于水产品的可追溯性和真实性,确保质量和商业价值.
科学领域:
- 水产产品的真实性认证
- 蛋白质组学是指蛋白质组学.
- 发现生物标志物的发现.
背景情况:
- 由于野生鱼和养殖鱼之间的质量和价值差异,水产品中可追溯性的需求日益增加.
- 需要强大的分析方法来区分鱼类的来源.
研究的目的:
- 开发和验证一种保护性战略,以区分野生和养殖的四大中国鱼.
- 为了识别标志着鱼类起源的蛋白质生物标志物.
主要方法:
- 利用了基于所有理论碎片离子质谱 (SWATH-MS) 的序列窗口获取蛋白质组学.
- 应用多变量统计分析,包括正交部分最小方形差异分析 (OPLS-DA) 和等级聚类分析 (HCA).
主要成果:
- 确定了24种蛋白质生物标志物,区分野生和养殖鱼种群.
- 通过OPLS-DA和HCA验证的生物标志物意义,显示出明显的丰度变化.
- 生物标志物参与能量代谢和结构发展.
结论:
- 与OPLS-DA结合的SWATH-MS蛋白质组学有效地歧视野生和养殖的中国鱼.
- 已识别的蛋白质生物标志物提供了对适应不同环境的分子见解.
- OPLS-DA模型适用于水产产品的现实世界可追溯性.
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