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Updated: Jul 18, 2025

Microfluidic Device for the Separation of Non-Metastatic MCF-7 and Non-Tumor MCF-10A Breast Cancer Cells Using AC Dielectrophoresis
Published on: August 11, 2022
A filter-electrochemical microfluidic chip for multiple surface protein analysis of exosomes to detect and classify
Yanlin Wang1, Wenjing Gao2, Min Sun2
1Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Zhejiang, 315211, China; Department of Intensive Care Unit, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315211, China.
Abstract:
Breast cancer (BC) is a complex disease with high variability and no specific tumor markers available for diagnosis. Exosomes contain rich maternal tumor information and are a novel non-invasive biomarker with the potential for cancer diagnosis and prognosis. However, analysis of exosomal protein markers in blood samples is challenging due to lengthy sample workups and insufficient sensitivity. To address this difficulty, we developed a novel filter-electrochemical microfluidic chip (FEMC) to detect and classify BC directly in whole blood without requiring heavy purification methods. In our system, exosome enrichment was performed using a dual filtration system. The target was directed through a curved channel onto four screen-printed electrodes (SPEs), where it was captured by the previously modified antibodies. Simultaneously, Zr-MOFs encapsulated with a large number of methylene blue molecules (MB@UiO-66) were absorbed on the surface of exosomes due to the high affinity for phosphate groups. This process leads to the amplification of electrical signals. The approach demonstrated that the utilization of BC exosome-associated tumor biomarkers (i.e., PMSA, EGFR, CD81, and CEA), enabled the classification of various BC mouse models samples and clinical BC samples. The entire FEMC assay was completed in 1 h with a limit of detection of 1 × 104 particles/mL. Thus, the FEMC assay can provide real-time detection information, allowing timely and better-informed opportunities for clinical BC diagnosis and typing.
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