Journal
ANALYTICA CHIMICA ACTA
Volume 896, Issue -, Pages 68-77Publisher
ELSEVIER
DOI: 10.1016/j.aca.2015.09.022
Keywords
Ultrathin graphitic carbon nitride nanosheet; Molecularly imprinted polymer; Electrochemiluminescence sensor; Perfluorooctanoic acid
Categories
Funding
- National Science Foundation of China [21175053, 21475050]
- Program for New Century Excellent Talents in University of China [NCET-13-0815]
- Program for Distinguished Young Scientist of Hubei Province [2013CFA030]
- Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU14A02009, CCNU14Z01001]
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Driven by the urgent demand for the determination of low level perfluorooctanoic acid (PFOA) present in environment, a novel electrochemiluminescence (ECL) sensor has been first developed for the detection of PFOA using the molecularly imprinted polypyrrole modified two-dimensional ultrathin g-C3N4 (utg-C3N4) nanosheets as a cathodic ECL emitter with S2O82 as coreactant. The prepared molecularly imprinted polymer (MIP) functionalized utg-C3N4 nanosheets (MIP@utg-C3N4) exhibit a stable and significantly amplified ECL signal. It is found that the targets of PFOA could be efficiently oxidized by the electro-generated strong oxidants of SO4 center dot- (from the reduction of coreactant S2O82-), thus leading to a low yield of the excited utg-C3N4 (g-C3N4*) and finally a decrease in ECL signal. Based on this, a highly sensitive and selective MIP@utg-C3N4-based signal-off ECL sensor is developed for sensing PFOA. Such a newly designed ECL sensor exhibits highly linear over the PFOA concentration in two ranges, from 0.02 to 40.0 ng mL(-1) and 50.0-400.0 ng mL(-1). The detection limit (S/N = 3) is estimated to be 0.01 ng mL(-1) (i.e. 0.01 ppb), comparable to the results obtained by using well-established liquid chromatography-tandem mass spectrometry (LC-MS/MS). Toward practical applications, this low-cost and sensitive assay was successfully applied to measure PFOA in real water samples, showing fine applicability for the detection of PFOA in real samples. (C) 2015 Elsevier B.V. All rights reserved.
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