Dumbbell-like upconversion nanoparticles synthesized by controlled epitaxial growth for light-heat-color tri-modal sensing of carcinoembryonic antigen
Accurate quantitative analysis of tumor markers in a wide linear range has important practical significance towards complex clinical samples in cancer identification and monitoring of tumor development stages, but remains challenging. Herein, three-layer dumbbell-like upconversion nanoparticles NaEr...
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Veröffentlicht in: | Biosensors & bioelectronics 2023-05, Vol.228, p.115186-115186, Article 115186 |
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Sprache: | eng |
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Zusammenfassung: | Accurate quantitative analysis of tumor markers in a wide linear range has important practical significance towards complex clinical samples in cancer identification and monitoring of tumor development stages, but remains challenging. Herein, three-layer dumbbell-like upconversion nanoparticles NaErF4:Tm@NaYF4@NaNdF4 (labeled as UCNPs) combined with G-quadruplex (G4) DNAzyme are reported for tri-modal sensing of carcinoembryonic antigen (CEA) in a wide range using upconversion luminescence (UCL), photothermal and catalysis signal readouts. Initially, dumbbell-like UCNPs were controlled synthesized by a three-dimensional epitaxial growth strategy through tuning the concentration of Nd precursors. After surface functionalization, G4zyme-UCNPs-cDNA/Apt-MB was subsequently fabricated by biotin-streptavidin interaction and DNA hybridization. Quantitative detection of CEA was achieved by competitive interaction and magnetic separation, and the intensities of tri-modal signals (light, heat and catalysis-based chrominance) of dissociative probes are linearly related to the concentration of CEA. The results showed that the tri-modal sensing method exhibited a wide linear range (0.005–2000 ng/mL) and low limit of detection (LOD) across three models: the luminescence model (0.005–50 ng/mL, LOD = 0.910 pg/mL), the catalysis model (10–1000 ng/mL, LOD = 0.387 ng/mL), and the temperature model (50–2000 ng/mL, LOD = 1.114 ng/mL). These findings suggest that the tri-modal sensing platform is suitable for use in the analysis of a wide range of complex and diverse clinical samples. |
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ISSN: | 0956-5663 1873-4235 |
DOI: | 10.1016/j.bios.2023.115186 |