4.8 Article

Quench-Type Electrochemiluminescence Immunosensor Based on Resonance Energy Transfer from Carbon Nanotubes and Au-Nanoparticles-Enhanced g-C3N4 to CuO@Polydopamine for Procalcitonin Detection

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 12, Issue 7, Pages 8006-8015

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.9b22782

Keywords

electrochemiluminescence; resonance energy transfer; g-C3N4-CNT; CuO nanosphere; procalcitonin

Funding

  1. National Key Scientific Instrument and Equipment Development Project of China [21627809]
  2. National Natural Science Foundation of China [21607055, 21675063, 21775054, 21505051, 21575050, 21777056, 21427808]

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A new type of sandwich electrochemiluminescence (ECL) immunosensor dependent on ECL resonance energy transfer (ECL-RET) to achieve sensitive detection of procalcitonin (PCT) has been designed. In brief, carbon nanotubes (CNT) and Au-nanoparticles-functionalized graphitic carbon nitride (g-C3N4-CNT@Au) and CuO nanospheres covered with polydopamine (PDA) layer (CuO@PDA) were synthesized and applied as ECL donor and receptor, respectively. g-C3N4-CNT nanomaterials were in situ prepared on the basis of pi-pi conjugation, and the CNT content in the composite were optimized to achieve a strong and stable ECL signal. At the same time, Au nanoparticles were used to functionalize g-C3N4-CNT to further increase the ECL intensity and the loading amount of primary antibody (Ab(1)). Moreover, CuO@PDA was first used to successfully quench the ECL signal of g-C3N4-CNT@Au. Under the optimum experimental conditions, the linear detection range for PCT concentration was within 0.0001-10 ng mL(-1) and the detection limit was 25.7 fg mL(-1) (S/N = 3). Considering prominent specificity, reproducibility, and stability, the prepared immunosensor was used to assess recovery rate of PCT in human serum according to the standard addition method and the result was satisfactory. In addition, it is worth mentioning that a novel ECL-RET pair of g-C3N4-CNT@Au (donor)/CuO@PDA (acceptor) was first developed, which offered an effective analytical tool for sensitive detection of biomarkers in early disease diagnostics.

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