The synergistic effect of Au-COF nanosheets and artificial peroxidase Au@ZIF-8(NiPd) rhombic dodecahedra for signal amplification for biomarker detection.
Tingting ZhangYu SongYue XingYue GuXiaoyi YanHe LiuNannan LuHaixin XuZhiqian XuZhiquan ZhangMing YangPublished in: Nanoscale (2019)
Here, a new type of signal amplification strategy is proposed employing Au nanoparticle (AuNP)-functionalized covalent organic framework (Au-COF) nanosheets and AuNP functionalized ZIF-8(NiPd) (Au@ZIF-8(NiPd)) rhombic dodecahedra nanocomposites for sandwich electrochemical sensor construction. The peroxidase mimics Au@ZIF-8(NiPd) took the place of natural enzymes in enzyme-assisted amplification strategies, both acting as catalysts for H2O2 reduction for signal amplification, and serving as ideal nanocarriers for signal probe anchoring. The cancer biomarker thrombin (TB) was selected as the target. Thrombin binding aptamers (TBA 2) were fixed on Au@ZIF-8(NiPd), and the obtained TBA 2-Au@ZIF-8(NiPd) bioconjugates were employed as tracer labels, and TB was sandwiched between the tracer labels and capture probe TBA 1 which were immobilized on the Au-COF nanosheet modified electrode. Au-COFs with a high specific area, super electroconductivity, and uniformly distributed AuNPs were utilized as the electrode substrate to fix TBA 1. Exploiting the sandwich method, the proposed TB aptasensor exhibited a wide linear range of 0.1 pM to 20 nM with a low detection limit of 15 fM (S/N = 3). The ingenious sensing strategy enriched the application diversity of the artificial enzyme and showed promise in research and development of point-of-care diagnostics.
Keyphrases
- sensitive detection
- reduced graphene oxide
- quantum dots
- gold nanoparticles
- visible light
- label free
- loop mediated isothermal amplification
- nucleic acid
- mycobacterium tuberculosis
- mass spectrometry
- living cells
- molecularly imprinted
- squamous cell carcinoma
- transcription factor
- squamous cell
- deep learning
- big data
- papillary thyroid
- water soluble
- fluorescent probe
- machine learning
- energy transfer
- liquid chromatography
- pet ct