Journal
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
Volume 222, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2019.05.021
Keywords
Surface-enhanced Raman scattering; Molecular imprinted membranes; Selective detection; Antibiotics
Categories
Funding
- National Natural Science Foundation of China [21576112]
- Natural Science Foundation of Jilin Province [20180623042TC, 20180101181JC, 20170520147JH, 20150623024TC19]
- Project of Department of Science and Technology of Jilin Province [20180623042TC]
- Project of Education Department of Jilin Province [JJKH20180775KJ]
- Project of Human Resources and Social Security Department of Jilin Province [2017956]
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Poly(vinylidene fluoride) (PVDF) is known as one of the widely used membrane separation materials with excellent physical and chemical properties. In this work, we combine surface-enhanced Raman scattering (SERS) detection technology, membrane separation technology and molecular imprinting technology (MIT) to improve sensitivity and selectivity for selective detection of the enrofloxacin hydrochloride in water. In this investigation, PVDF membranes were used as the support materials and different experiment parameters were investigated to obtain the best property. Meanwhile, the Ag nanoparticles (Ag NPs) modified by 3-methacryloxypropyltrimethoxysilane (KH-570) were used as the SERS substrates and they were uniformly dispersed on the surface of the membrane. Finally, Ag-based SERS imprinted membranes (ASIMs) with specific recognition property were successfully prepared with enrofloxacin hydrochloride as the template molecule, acrylamide (AM) as the functional monomer, ethylene glycol dimethacrylate (EGDMA) as the cross-linker agent and 2,2'-azobis(2-methylpropionitrile) (AIBN) as the initiator by a facile and versatile precipitation polymerization strategy. Under the optimal condition, it was presented good linear relationship (R-2 = 0.994) between the Raman signal (at 1390.8 cm(-1)) and the concentration (10(-3) mol.L-1-10(-7) mol.L-1) of the templates, and the limit of detection was determined as 10(-7) mol.L-1. The morphology and characters were investigated and the results proved that the SERS imprinted membranes could be used into the selective detection of antibiotics and it provided a novel approach of antibiotics detection. (C) 2019 Published by Elsevier B.V.
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