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Sensitive SERS nanotags for use with a hand-held 1064 nm Raman spectrometer.
Kearns, Hayleigh; Ali, Fatima; Bedics, Matthew A; Shand, Neil C; Faulds, Karen; Detty, Michael R; Graham, Duncan.
Affiliation
  • Kearns H; Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, UK.
  • Ali F; Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, UK.
  • Bedics MA; Department of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.
  • Shand NC; Dstl, Porton Down, Salisbury, Wiltshire SP4 0JQ, UK.
  • Faulds K; Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, UK.
  • Detty MR; Department of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.
  • Graham D; Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, UK.
R Soc Open Sci ; 4(7): 170422, 2017 Jul.
Article in En | MEDLINE | ID: mdl-28791168
ABSTRACT
This is the first report of the use of a hand-held 1064 nm Raman spectrometer combined with red-shifted surface-enhanced Raman scattering (SERS) nanotags to provide an unprecedented performance in the short-wave infrared (SWIR) region. A library consisting of 17 chalcogenopyrylium nanotags produce extraordinary SERS responses with femtomolar detection limits being obtained using the portable instrument. This is well beyond previous SERS detection limits at this far red-shifted wavelength and opens up new options for SERS sensors in the SWIR region of the electromagnetic spectrum (between 950 and 1700 nm).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: R Soc Open Sci Year: 2017 Document type: Article Affiliation country: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: R Soc Open Sci Year: 2017 Document type: Article Affiliation country: United kingdom