4.7 Article

Colorimetric immunoassays based on pyrroloquinoline quinone-catalyzed generation of Fe(II)-ferrozine with tris(2-carboxyethyl)phosphine as the reducing reagent

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 306, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2019.127571

Keywords

Colorimetric immunoassays; Nanozymes; Pyrroloquinoline quinine; Redox cycling; Ferrozine; Tris(2-carboxyethyl)phosphine

Funding

  1. Henan Province University Innovation Talents Support Program [18HASTIT005]
  2. Science & Technology Foundation of Anyang City
  3. Program for Innovative Research Team of Science and Technology in the University of Henan Province [18IRTSTHN004]

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This work reported a novel redox cycling in which pyrroloquinoline quinone (PQQ) promoted the reduction of Fe(III)-ferrozine by tris(2-carboxyethyl)phosphine (TCEP). Specifically, PQQ was reduced into pyrroloquinoline quinol (PQQH(2)) by TCEP, and then the produced PQQH(2) reduced colorless Fe(III)-ferrozine into dull red Fe(II)ferrozine. The redox cycling was employed for development of colorimetric immunosensors through the generation of colorful Fe(II)-ferrozine. Mesoporous silica nanoparticle (MSN) was used as the carrier for both PQQ and recognition antibody through electrostatic interactions. Magnetic bead (MB) was used as the support for the immobilization of capture antibody. After the sandwich-type immunoreactions and magnetic separation, the MSN-PQQ nanolabels on the MB surface triggered the production of Fe(II)-ferrozine. The limit of detection was found to be 1 pg/mL with prostate specific antigen (PSA) as the model target. The result for the analysis of serum sample is in agreement with that achieved by the commercial enzyme-linked immunosorbent assay kits. The proposed immunosensor obviated the use of enzyme molecules for signal amplification and did not require expensive instruments for signal readout. This work should be valuable for the design of novel nanolabels and the proposed sensing strategy by the redox cycling could be applied to develop more sensitive biosensors.

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