4.7 Article

Unique 3D heterostructures assembled by quasi-2D Ni-MOF and CNTs for ultrasensitive electrochemical sensing of bisphenol A

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 310, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2020.127885

Keywords

2D Ni-based MOF; Carbon nanotubes; Heterostructures; Synergistic effects; Bisphenol A sensing

Funding

  1. National Natural Science Foundation of China [21775050, 21804031]
  2. National Basic Research Program of China (973 Program) [2015CB352100]
  3. Hubei Provincial Natural Science Fund for Distinguished Young Scholars [2016CFA039]
  4. Opening fund of Hubei Key Laboratory of Bioinorganic Chemistry Materia Medica [BCMM201901]

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Heterostructured materials constructed from different dimension of building blocks have drawn extensive interest for the integrated structural advantages of each individuals. In recent years, though various of carbonbased MOFs composites have been reported, novel hierarchical hybrids with unique morphology, structure and superior performance are still highly expected. In this study, quasi-2D Ni-based organic frames (Ni-MOF) nanosheets were easily obtained for the confinement effect of the cross-linked CNTs networks, and the NiMOF@CNTs hybrids with unique 3D heterostructures was then facilely in-situ prepared at room temperature. Benefiting from the large specific surface area of Ni-MOF, excellent conductivity of CNTs and the synergistic effect, the as-synthesized 3D Ni-MOF@CNTs hybrids showed superior electrochemical activity toward the oxidation and sensing of highly toxic environmental contaminant bisphenol A (BPA). Ultra-low detection limit of 0.35 nM and high sensitivity of 284.64 mu A mu M-1 cm(-2) for BPA was achieved at the 3D Ni-MOF@CNTs sensing interface, and a practical electrochemical sensing platform was then successfully developed for the detection of BPA in various of real samples, including receipts, movie tickets, and polycarbonate water buckets, and showed satisfied result with chromatographic analysis.

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