4.8 Article

Sensitive and Reproducible Immunoassay of Multiple Mycotoxins Using Surface-Enhanced Raman Scattering Mapping on 3D Plasmonic Nanopillar Arrays

期刊

SMALL
卷 14, 期 39, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.201801623

关键词

multiplex detection; mycotoxin; reproducibility; SERS imaging; SERS mapping

资金

  1. National Research Foundation of Korea [K20904000004-12A0500-00410]
  2. Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, and Forestry (IPET) - Ministry of Agriculture, Food and Rural Affairs [MAFRA-316080-04]
  3. Korean Institute of Materials Science (KIMS) [PNK 5510]
  4. EPSRSC Reactive Plasmonics Programme [EP/M013812/1]
  5. EPSRC [EP/M013812/1] Funding Source: UKRI

向作者/读者索取更多资源

A surface-enhanced Raman scattering-based mapping technique is reported for the highly sensitive and reproducible analysis of multiple mycotoxins. Raman images of three mycotoxins, ochratoxin A (OTA), fumonisin B (FUMB), and aflatoxin B1 (AFB1) are obtained by rapidly scanning the surface-enhanced Raman scattering (SERS) nanotags-anchoring mycotoxins captured on a nanopillar plasmonic substrate. In this system, the decreased gap distance between nanopillars by their leaning effects as well as the multiple hot spots between SERS nanotags and nanopillars greatly enhances the coupling of local plasmonic fields. This strong enhancement effect makes it possible to perform a highly sensitive detection of multiple mycotoxins. In addition, the high uniformity of the densely packed nanopillar substrate minimizes the spot-to-spot fluctuations of the Raman peak intensity in the scanned area when Raman mapping is performed. Consequently, this makes it possible to gain a highly reproducible quantitative analysis of mycotoxins. The limit of detections (LODs) are determined to be 5.09, 5.11, and 6.07 pg mL(-1) for OTA, FUMB, and AFB1, and these values are approximately two orders of magnitude more sensitive than those determined by the enzyme-linked immunosorbent assays. It is believed that this SERS-based mapping technique provides a facile tool for the sensitive and reproducible quantification of various biotarget molecules.

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