高带宽微流体阻抗用于生物液体诊断中的 ζ 电位映射

Zeta potential (ζ) quantifies the electrokinetic potential at the slipping plane of colloidal particles or cells in a liquid medium. It influences particle aggregation, stability of drug delivery vehicles, and cell-cell interactions, making it a critical diagnostic marker for inflammatory diseases, cancer, and metabolic disorders. Conventional zeta potential measurement methods, such as electrophoretic light scattering (ELS), suffer from long acquisition times (5-10 minutes per sample), high sample volumes (≥ 50 µL), and sensitivity to ionic strength and temperature. To address these limitations, a high-bandwidth microfluidic impedance technique has been proposed, enabling rapid and low-volume zeta potential measurements with potential clinical applications. This technology integrates machine learning algorithms to enhance the efficiency and accuracy of biofluid diagnostics. By analyzing electrophoretic mobility and colloidal stability, this method opens new possibilities for point-of-care diagnostics.