Herein, we integrate cell-imprinted substrate (CIS) and allochroic-graphene oxide (AGO) for specific visualization sorting of hepatocellular carcinoma cells. The state-of-the-art-of detection method relies on the enzyme linked immunosorbent assay (ELISA)-like sandwich strategy with hierarchical recognition. The target tumor cells are first selectively captured by the CIS based on cell imprinted recognition, and then specifically labeled with AGO by boronate affinity recognition between boronic acid on AGO and cis-diols on the surface of target cells. The selectively recognition of CIS for target template cells is verified by cell function experiments. It is also worth mentioning that the AGO can specifically recognize target tumor cells under physiological pH, and then perform signal amplification and output through pH-triggered allochroism. The CIS linked AGO for cell assay (CIS-AGO-CA) is successfully used for visualization detection of human hepatocarcinoma HLE cells from hepatocyte suspension. When the hepatocyte suspension is spiked with 1.0 × 105 cells, the recoveries of CIS-AGO-CA are 80.67 ± 4.33% for target HLE cells, and only 12.00 ± 1.00% for non-target Hep3B cells. It is worth emphasizing that the CIS-AGO-CA process is antibody-free. Therefore, this novel ELISA-like sandwich strategy is high specificity, cost-efficient and easy-to-use, and exhibits great prospect in the visualization sorting of tumor subpopulation.
Keywords: Allochroic-graphene oxide; Boronate affinity; Cell imprinting; Sandwich strategy; Visualization sorting.
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