研究目的
To demonstrate the application of metasurface-enhanced infrared reflection spectroscopy (MEIRS) to a continuous flow of live cell solution by applying AC voltage to metallic metasurfaces, integrating metasurfaces with microfluidic delivery channels, and attracting cells to the metasurface via dielectrophoretic (DEP) force for real-time infrared spectroscopy of cells.
研究成果
The DEP-MEIRS approach enables rapid, label-free spectroscopic interrogation of live cells in a flow, combining microfluidics, DEP, and MEIRS on a single biosensing platform. This technique is applicable to both adherent and non-adherent cells and paves the way for rapid SCP of complex cell-containing body fluids with low cell concentrations.
研究不足
The DEP force relies on the difference in conductivities between the DEP buffer and the cytoplasm, limiting the time frame for significant ion concentration changes to around 30 minutes. The technique requires cells to be suspended in DEP buffer with much lower conductivity than their cytoplasm.
1:Experimental Design and Method Selection:
The study integrates microfluidics for delivering live cells in aqueous medium, DEP for attracting cells to a metasurface-based internal reflection element, and MEIRS for acquiring vibrational fingerprints of the cytoskeleton of the attracted cells.
2:Sample Selection and Data Sources:
Two human malignant cell lines (colorectal carcinoma HCT 116 and epidermoid carcinoma A431) and polystyrene microspheres were used.
3:List of Experimental Equipment and Materials:
Plasmonic metasurfaces with wires for external electrical connection fabricated using electron beam lithography, microfluidic channels, syringe pump, Bruker Hyperion 3000 IR microscope, and MCT detector.
4:Experimental Procedures and Operational Workflow:
Cells were suspended in a special buffer solution, injected into the microchannel, and attracted to the metasurface via DEP force. IR spectra were collected in reflection mode.
5:Data Analysis Methods:
Absorbance spectra were calculated from the measured reflection spectra, and spectral features were analyzed to correlate with cell coverage.
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