4.8 Article

Highly Reproducible Ag NPS/CNT-Intercalated GO Membranes for Enrichment and SERS Detection of Antibiotics

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 8, 期 41, 页码 28180-28186

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.6b08790

关键词

GO membranes; SERS; enrichment; excellent uniformity; high sensitivity; antibiotic detection

资金

  1. National Natural Science Foundations of China [21505057, 21575041, 21375051]
  2. Natural Science Foundation of Jiangsu Province [BK20150227]
  3. Natural Science Foundation of Jiangsu Normal University [14XLR011]
  4. Priority Academic Program Development ofJiangsu Higher Education Institutions (PAPD)
  5. Brand Major of Universities in Jiangsu Province
  6. Top-notch Academic Programs Project of Jiangsu Higher Education Institution (TAPP)
  7. Shanghai Municipal Natural Science Foundation [14ZR1410800]

向作者/读者索取更多资源

The increasing pollution of aquatic environments by antibiotics makes it necessary to develop efficient enrichment and sensitive detection methods for environmental antibiotics monitoring. In this work, silver nanoparticles and carbon nanotube-intercalated graphene oxide laminar membranes (Ag NPs/CNT-GO membranes) were successfully prepared for enrichment and surface-enhanced Raman scattering (SERS) detection of antibiotics. The prepared Ag NPs/CNT-GO membranes exhibited a high enrichment ability because of the pi-pi stacking and electrostatic interactions of GO toward antibiotic molecules, which enhanced the sensitivity of SERS measurements and enabled the antibiotics to be determined at sub-nM concentrations. In addition, the nanochannels created by the intercalation of CNTs into GO layers resulted in an 8-fold enhancement in the water permeance of Ag NPs/CNT-GO membranes compared to that of pure GO membranes. More importantly, the Ag NPs/CNT-GO membranes exhibited high reproducibility and long-term stability. The spot-to-spot variation in SERS intensity was less than 15%, and the SERS performance Was maintained for at least 70 days. The Ag NPs/CNT-GO membranes were also used for SERS detection of antibiotics in real samples; the results showed that the characteristic peaks of antibiotics were obviously recognizable. Thus, the sensitive SERS detection of antibiotics based on Ag NPs/CNT-GO offers great potential for practical applications in environmental analysis.

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