Label-Free Detection of Multiplexed Metabolites at Single-Cell Level via a SERS-Microfluidic Droplet Platform

化学 微流控 单细胞分析 代谢组学 纳米技术 基质(水族馆) 拉曼散射 生物物理学 细胞 拉曼光谱 色谱法 生物化学 材料科学 光学 物理 地质学 海洋学 生物
作者
Dongbai Sun,Fanghao Cao,Yu Tian,Aisen Li,Weiqing Xu,Qidan Chen,Wei Shi,Shuping Xu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:91 (24): 15484-15490 被引量:58
标识
DOI:10.1021/acs.analchem.9b03294
摘要

Single-cell metabolomics could be used to discover the chemical strategies of cells for coping with chemical or environmental stress because metabolomics provides a more immediate and dynamic picture of cell functionality. However, these small-molecule metabolites are the most difficult to measure because they characterize rapid metabolic dynamics, structural diversity, and incapacity to achieve signal amplification or labeling. In order to solve above problems, we presented a surface-enhanced Raman scattering (SERS)-microfluidic droplet platform to realize the label-free simultaneous analysis of multiplexed metabolites at the single-cell level via a versatile magnetic SERS substrate composed by silver nanoparticles (AgNPs, 30 nm)-decorated 400 nm Fe3O4 magnetic microspheres. This metal-magnetic composite substrate is beneficial to efficient adsorption of single cell metabolites, fast separation from complex matrixes, and high SERS sensitivity. Also, the endocytosis effect can be fully prohibited due to its relatively large size. This work achieves label-free, nondestructive, simultaneous determination of three single-cell metabolites, pyruvate, adenosine triphosphate (ATP), and lactate, owing to their intrinsic SERS fingerprints. The “hotspots” effect induced by the magnetic aggregation of Fe3O4@AgNPs allows highly sensitive SERS detection. Encapsulating metabolites in such a limited and isolated droplet accelerates the process of diffusion and adsorption equilibriums. Activation with saponin for metabolites was assessed on different cell lines. The SERS-microdroplet platform is a powerful tool for exploring single-cell heterogeneity at the metabolic level.
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