代谢组学
生物标志物发现
标准化
生物标志物
数据科学
资源(消歧)
生化工程
计算生物学
可靠性(半导体)
蛋白质组学
计算机科学
化学
生物信息学
生物
工程类
操作系统
功率(物理)
物理
基因
量子力学
生物化学
计算机网络
作者
Nikhil Titkare,Sachin Chaturvedi,Sapan Borah,Nitish Sharma
摘要
Abstract Mass spectrometry (MS) plays a crucial role in metabolomics, especially in the discovery of disease biomarkers. This review outlines strategies for identifying metabolites, emphasizing precise and detailed use of MS techniques. It explores various methods for quantification, discusses challenges encountered, and examines recent breakthroughs in biomarker discovery. In the field of diagnostics, MS has revolutionized approaches by enabling a deeper understanding of tissue‐specific metabolic changes associated with disease. The reliability of results is ensured through robust experimental design and stringent system suitability criteria. In the past, data quality, standardization, and reproducibility were often overlooked despite their significant impact on MS‐based metabolomics. Progress in this field heavily depends on continuous training and education. The review also highlights the emergence of innovative MS technologies and methodologies. MS has the potential to transform our understanding of metabolic landscapes, which is crucial for disease biomarker discovery. This article serves as an invaluable resource for researchers in metabolomics, presenting fresh perspectives and advancements that propels the field forward.
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