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May 3, 2026Journal of Raman Spectroscopy0 citations

SERS‐Based Live‐Cell Metabolomics for Spatiotemporal Profiling of Metabolic Flux

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BCBiqing ChenHarbin Medical UniversityJGJiayin GaoHarbin Medical UniversityHSHan SunChinese Academy of Tropical Agricultural Sciences

Key Points

  • The paper aims to address the challenges in live-cell metabolomics by introducing SERS as a novel approach to study metabolic processes.
  • Reviewed advancements in SERS technology for live-cell analysis.
  • Examined applications in monitoring metabolite gradients and redox dynamics.
  • Outlined future integrations of SERS with organ-on-chip models and AI.
  • SERS enables subcellular resolution and single-molecule sensitivity for live-cell metabolomics.
  • It successfully visualizes compartmentalized metabolism through super-resolution imaging.
  • The methodology presents significant prospects for enhancing personalized medicine and metabolic regulation.

Abstract

ABSTRACT Conventional approaches to live‐cell metabolomics face key barriers: Destructive methods like mass spectrometry lose spatiotemporal resolution, while noninvasive techniques are limited by phototoxicity and probe dependence. These challenges hinder the exploration of tumor metabolic reprogramming, neurodegeneration, and metabolism‐targeted therapies. Surface‐enhanced Raman scattering (SERS), with label‐free detection, single‐molecule sensitivity, and subcellular resolution, offers a promising solution. Recent advances show its capacity to monitor metabolite gradients, redox dynamics (NADH/NAD + ), and enzyme spatial distribution, as well as to visualize compartmentalized metabolism through super‐resolution imaging. This review highlights these achievements and introduces an integrated framework of molecular recognition, dynamic tracking, mechanistic insight, and translational application. Finally, we outline future opportunities combining SERS with organ‐on‐chip models and artificial intelligence, underscoring its potential in personalized medicine and in situ metabolic regulation. Overall, SERS‐based metabolomics represents a methodological breakthrough enabling cross‐scale analysis of metabolic flux in health and disease.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69f6e5f38071d4f1bdfc6935https://doi.org/10.1002/jrs.70149
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