4.7 Article

Polyelectrolyte-free layer by layer self-assembled multilayer films of cationic phthalocyanine cobalt(II) and carbon nanotube for the efficient detection of 4-nitrophenol

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 230, Issue -, Pages 359-366

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2016.02.088

Keywords

4-Nitrophenol sensor; Phthalocyanine cobalt(II); Carbon nanotube; Layer by layer electrostatic assembly; Polyelectrolyte-free; Electroanalysis

Funding

  1. National Natural Science Foundation of China [51002046, 51102082, 51202061, 21573062]
  2. Natural Science of Heilongjiang Province of China [LC2012C02, B201308]
  3. Research Fund of Heilongjiang Provincial Education Department [12511377, 12521399]
  4. Innovative Talents Program for the Returned Overseas Scholars of Harbin of China [2012RFLXG031]

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4-Nitrophenol (4-NP) sensors with high sensitivity and reproducibility are desirable for biosafety and environmental monitoring. Herein, cationic tetra-beta-(N,N,N-trimethylaminoethoxy) phthalocyanine cobalt(II)/acid-treated carbon nanotubes multilayer films, marked as (tmaePcCo/CNT)(n), films (n represents the bilayer number), were successfully constructed on glassy carbon electrode (GCE) by a facile, effective layer by layer (LBL) electrostatic assembly method without the assistant of polyelectrolyte. Because CNTs within the multilayer films are beneficial to collect and transfer charges, and polyelectrolyte-free assembly ensures active sites exposing, the obtained (tmaePcCo/CNT)(10)/GCE exhibits excellent 4-NP electrocatalytic performance with good reproducibility and acceptable stability, a wide linear calibration range over 3 orders of magnitude of 4-NP concentrations (1 mu M-1.8 mM) and a low detection limit of 0.2 mu M (S/N = 3), and it can be applied to the quantification analysis of 4-NP under optimum conditions. This work shows that the LBL multilayer films fabricated without polyelectrolyte can provide a valid way to improve the sensitivity and reproducibility of 4-NP sensors. (C) 2016 Elsevier B.V. All rights reserved.

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