Development of Spectral Nano-Flow Cytometry for High-Throughput Multiparameter Analysis of Individual Biological Nanoparticles.
Lihong LiShuo WangJunwei XueYao LinLiyun SuChengfeng XueCuiping MaoNiangui CaiYe TianShaobin ZhuLina WuXiaomei YanPublished in: Analytical chemistry (2023)
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.
Keyphrases
- flow cytometry
- high throughput
- optical coherence tomography
- single molecule
- drug discovery
- machine learning
- escherichia coli
- poor prognosis
- energy transfer
- loop mediated isothermal amplification
- dual energy
- deep learning
- computed tomography
- label free
- photodynamic therapy
- living cells
- long non coding rna
- binding protein
- magnetic resonance
- sensitive detection
- genetic diversity
- solar cells
- fluorescent probe