代谢组学
纳米技术
计算机科学
计算生物学
量子
系统生物学
量子传感器
生物标志物
生命系统
化学
量子点
氮空位中心
代谢物
生化工程
量子计算机
量子技术
代谢组
生物信息学
个性化医疗
疾病
物理
生物
人类疾病
人类健康
作者
Gnanesh Rao,Priya Tiwari,Raghu Ningegowda,B.P. Nandeshwarappa,Sandeep Chandrashekharappa
标识
DOI:10.1002/9781394339006.ch14
摘要
Metabolomics, the comprehensive study of small-molecule metabolites in biological systems, has emerged as a pivotal tool for understanding physiological processes, disease mechanisms, and therapeutic responses. However, conventional analytical methods such as nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) often face challenges in sensitivity, resolution, and detection of low-abundance metabolites within complex biological matrices. Quantum sensing, leveraging quantum phenomena such as spin coherence, entanglement, and superposition, offers a transformative approach to overcome these limitations. In particular, nitrogen-vacancy (NV) centers in diamond and other quantum-based platforms enable ultrasensitive, label-free detection at nanomolar to picomolar concentrations, even in heterogeneous samples. These technologies can enhance spectral resolution, allow real-time metabolite monitoring, and potentially facilitate in vivo applications without perturbing biological systems. This chapter outlines the principles of quantum sensing, its integration into metabolomics workflows, current experimental advancements, and prospective clinical applications. By bridging quantum technologies with systems biology, quantum-enhanced metabolomics holds the potential to revolutionize biomarker discovery, personalized medicine, and early disease diagnostics.
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