4.7 Article

Rapid and sensitive detection of enrofloxacin hydrochloride based on surface enhanced Raman scattering-active flexible membrane assemblies of Ag nanoparticles

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 249, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2019.109387

Keywords

Surface enhanced Raman scattering; Membrane separation; Trace analysis; Enrofloxacin hydrochloride

Funding

  1. National Natural Science Foundation [21576112]
  2. Natural Science Foundation Project of Jilin Province [20180623042TC 20180101181JC, 20170520147JH]
  3. Project of Department of Science & Technology of Jilin Province [20180623042 TC, 20170520134JH]
  4. Project of Education Department of Jilin Province [JJKH20191010KJ]
  5. Project of Human Resources and Social Security Department of Jilin Province [2017956]

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The abuse of antibiotics resulted in the pollution of river is more and snore serious and it was necessary to exploit a sensitive detection method to improve the traditional analysis measurement. In this test, it is reported an Ag-based SERS sensing membrane synthesized by the technique of SERS detection and membrane separation. SERS analysis technique presented sensitive detection property, which could be applied into trace analysis. Membrane separation could effectively enrich the analytes to improve the sensitivity. The SERS membrane was synthesized by filtrating Ag nanoparticles (NPs) on the surface and investigating the amount of PVP and Ag NPs to the sensitivity. Meanwhile, the addition of Ag NPs effectively improved the hydrophilia to promote the detection effectivity in the water. By the investigations of optical analysis, the SERS membrane presented high sensitivity in the detection of antibiotics. Under the optimal condition, the SERS intensity presented good linear relationship with the concentration of antibiotics between 1.0 nmol L-1 and 200 nmol L-1. This method provided a sensitive detection approach and broadened the investigation field of antibiotics detection.

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