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The development of facile, reliable, and accurate assays for pathogenic bacteria is critical to environmental pollution surveillance, traceability analysis, prevention, and control. Here, we proposed a rolling circle amplification (RCA) strategy-driven visual photothermal smartphone-based biosensor for achieving highly sensitive monitoring of Escherichia coli ( E. coli ) in environmental media. In this design, E. coli could specifically bind with its recognition aptamer for initiating the RCA process on a magnetic bead (MB). Owing to the cleaving of UV irradiation toward photoresponsive DNA on MB, the RCA products were released to further hybridize with near-infrared excited Cu x S-modified DNA probes. As a result, the photothermal signal was enhanced by RCA, while the background was decreased by UV irradiation and magnetic separation. The correspondingly generated photothermal signals were unambiguously recorded on a smartphone, allowing for an E. coli assay with a low detection limit of 1.8 CFU/mL among the broad linear range from 5.0 to 5.0 × 10 5 CFU/mL. Significantly, this proposed biosensor has been successfully applied to monitor the fouling levels of E. coli in spring water samples with acceptable results. This study holds great prospects by integrating a RCA-driven photothermal amplification strategy into a smartphone to develop accurate, reliable, and efficient analytical platforms against pathogenic bacteria pollutions for safeguarding environmental health.

In situ detection of the expression level of cell-surface receptors has become a hotspot study in recent years. We propose in this manuscript a novel strategy for sensitive electrochemiluminescence (ECL) detection of glucose transporter 4 (GLUT4) on human skeletal muscle cells (HSMCs). Graphene hydrogel (GH) was selected to fabricate a permeable electrode with the purpose of overcoming the steric hindrance of cells on electrode, which leads to errors in the detection of cell-surface receptors. GLUT4 was labeled with carbon dots (CDs), which generate ECL emission at the interface between GH and cells, so about half the amount of GLUT4 expressed at the cell surface could be determined, which provided an accurate GLUT4 expression quantification. The prepared cytosensor exhibited good analytical performance for HSMC cells, ranging from 500 to 1.0 × 10 6 cells·mL -1 , with a detection limit of 200 cells·mL -1 . The average amount of GLUT4 per HSMC cell was calculated to be 1.88 × 10 5 . Furthermore, GLUT4 on HSMC surface had a 2.3-fold increase under the action of insulin. This strategy is capable of evaluating the receptors on the cell surface, which may push the application of ECL for disease diagnosis.