Department of Chemical Biology, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Key Laboratory for Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
Anal Chem. 2023 Feb 14;95(6):3423-3433. doi: 10.1021/acs.analchem.2c05159. Epub 2023 Feb 3.
Correlated analysis of multiple biochemical parameters at the single-particle level and in a high-throughput manner is essential for insights into the diversity and functions of biological nanoparticles (BNPs), such as bacteria and subcellular organelles. To meet this challenge, we developed a highly sensitive spectral nano-flow cytometer (S-nFCM) by integrating a spectral recording module to a laboratory-built nFCM that is 4-6 orders of magnitude more sensitive in side scattering detection and 1-2 orders of magnitude more sensitive in fluorescence detection than conventional flow cytometers. An electron-multiplying charge-coupled device (EMCCD) was used to acquire the full fluorescence spectra of single BNPs upon holographic grating dispersion. Up to 10,000 spectra can be collected in 1 min with 2.1 nm resolution. The precision, linearity, and sensitivity were examined. Complete discernment of single influenza viruses against the background signal, discrimination of different strains of marine cyanobacteria in a mixed sample based on their spectral properties of natural fluorescence, classification of bacterial categories exhibiting different patterns of antigen expression, and multiparameter analysis of single mitochondria for drug discovery were successfully demonstrated.
对单个颗粒水平和高通量的多种生化参数进行相关分析,对于深入了解生物纳米颗粒(BNPs)的多样性和功能至关重要,如细菌和亚细胞细胞器。为了应对这一挑战,我们通过将光谱记录模块集成到实验室构建的 nFCM 中,开发了一种高灵敏度的光谱纳米流式细胞仪(S-nFCM),与传统流式细胞仪相比,其侧向散射检测灵敏度提高了 4-6 个数量级,荧光检测灵敏度提高了 1-2 个数量级。我们使用电子倍增电荷耦合器件(EMCCD)在全息光栅色散后获取单个 BNPs 的全荧光光谱。在 1 分钟内,分辨率为 2.1nm 时,可收集多达 10,000 个光谱。我们对其精度、线性度和灵敏度进行了检测。我们成功地实现了对单个流感病毒的完全分辨,根据天然荧光特性对混合样本中的不同海洋蓝藻菌株进行区分,对表现出不同抗原表达模式的细菌类别进行分类,以及对单个线粒体进行多参数分析以用于药物发现。