A hierarchical hollow Ni/Co-functionalized MoS2 architecture with highly sensitive non-enzymatic glucose sensing activity.
Xuejuan XuYuchi ZhangYide HanJunbiao WuXia ZhangYan XuPublished in: Dalton transactions (Cambridge, England : 2003) (2022)
A hierarchical hollow Ni/Co-codoped MoS2 architecture was successfully prepared using a Ni/Co Prussian Blue analogue as the precursor followed by the solvothermal-assisted insertion of MoS42- and extraction of [Co(CN)6]3- at 200 °C for 32 h. The obtained Ni/Co-codoped MoS2 composite exhibited a hollow microcubic structural characteristic, and the morphology, structure, and chemical compositions were carefully characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy (XPS), respectively. The Ni/Co-codoped MoS2 composite used as an electrode material featured excellent glucose sensing activity and a high sensitivity of 2546 μA mM-1 cm-2 with a relatively low detection limit of 0.69 μM (S/N = 3). In addition, the Ni/Co-codoped MoS2 composite showed good anti-interference sensing performance in the presence of ascorbic acid (AA), lysine (Lys), cysteine (Cys), urea, H2O2, KCl, and other interferents. These experimental results revealed that the composite is a promising electrode material for enzyme-free glucose sensing, and the feasible synthetic strategy may provide an effective and controlled route to prepare other multi-metal substituted sulfide-based hierarchical structures with high electrochemical sensing performance.
Keyphrases
- electron microscopy
- transition metal
- quantum dots
- metal organic framework
- molecularly imprinted
- room temperature
- reduced graphene oxide
- high resolution
- highly efficient
- visible light
- gold nanoparticles
- sensitive detection
- magnetic resonance imaging
- label free
- mass spectrometry
- lymph node metastasis
- blood pressure
- solid state
- ionic liquid
- single cell
- adipose tissue
- skeletal muscle
- carbon nanotubes
- molecular dynamics simulations
- real time pcr