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基于高分辨率质谱的代谢学进步:在食品分析和生物标志物发现中的应用
Wenqi Shang1,2, Guozheng Wei2, Haibo Li3
1Yibin Academy of Southwest University, Yibin 644000, China.
Journal of agricultural and food chemistry
|January 28, 2025
概括
高分辨率质谱 (HRMS) 代谢学通过检测微量化合物并实现实时监测来推进食品分析. 人工智能进一步增强了数据处理,用于识别关键的食品生物标志物.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- 越来越多的消费者对食品营养和质量的需求.
- 检测低丰度食物代谢物的传统方法的局限性.
- 综合性食品分析分析技术的进步.
研究的目的:
- 审查食品分析中基于高分辨率质谱 (HRMS) 的代谢学的最新应用.
- 为了将HRMS与核磁共振 (NMR) 对代谢学应用进行比较.
- 讨论各种质谱技术在食品科学中的原理和用例.
主要方法:
- 基于高分辨率质谱 (HRMS) 的代谢学.
- 人工智能和机器学习用于数据分析的应用.
- 对HRMS和NMR技术进行比较分析.
主要成果:
- HRMS 能够检测到传统平台无法检测到的微量代谢物.
- 通过HRMS,可以实现对代谢合成和分解的实时监测.
- 人工智能和机器学习有助于处理大型代谢学数据集和生物标志物识别.
结论:
- 基于HRMS的代谢学是分析传统食品,新食品和制药-食品矩阵的强大工具.
- 在特定的代谢学应用中,HRMS比NMR具有明显的优势.
- 人工智能和先进的质谱技术的整合对于未来的食品分析至关重要.
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