4.7 Article

Molecularly imprinted polymers-coated gold nanoclusters for fluorescent detection of bisphenol A

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 211, Issue -, Pages 507-514

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2015.01.115

Keywords

Gold nanoclusters; Molecularly imprinted polymers; Fluorescent detection; Bisphenol A

Funding

  1. National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2013BAD19B02]
  2. National Key Scientific Instrument and Equipment Development Project [2013YQ17052506]
  3. National Natural Science Foundation of China [21275158, 21477160]
  4. Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry

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A flexible fluorescent sensing strategy for the recognition and detection of bisphenol A (BPA) has been proposed based on molecularly imprinted polymers (MIPs)-coated gold nanoclusters (AuNCs), by taking advantages of the high selectivity of MIPs and the strong fluorescence property of AuNCs. SiO2@AuNCs were initially prepared by making use of the powerful amido bonds between carboxyl-terminated AuNCs and amino-functionalized SiO2 nanoparticles. Then MIPs-coated AuNCs were formed by anchoring MIP layer on the surface of SiO2@AuNCs via a solgel process. In the presence of imprinting template BPA, a Meisenheimer complex could be formed between BPA and the primary amino groups on the surface of the AuNCs, and the photoluminescent energy of AuNCs would be transferred to the complex, and thereby result in the fluorescence quenching of AuNCs. The fluorescence-quenching fractions of the sensor presented a satisfactory linearity with BPA concentrations over the range of 013.1 mu M and the detection limit could reach 0.10 mu M. Distinguished selectivity was also exhibited to BPA over other possibly competing molecules. Moreover, the sensor was successfully applied to determine BPA in seawater, and the average recoveries of BPA at three spiking levels ranged from 91.3 to 96.2% with relative standard deviations below 4.8%. This AuNCs-MIPs based sensor provided great potentials for recognition and determination of phenolic environmental estrogens in complicated samples. (C) 2015 Elsevier B.V. All rights reserved.

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