Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 48,
  • Issue 11,
  • pp. 1423-1427
  • (1994)

Determination of Nicotine by Surface-Enhanced Raman Scattering (SERS)

Not Accessible

Your library or personal account may give you access

Abstract

The analytical application of surface-enhanced Raman spectroscopy (SERS) to the determination of nicotine is demonstrated. A simple spectroelectrochemical method using a copper or silver electrode as the SERS substrate has been developed, consisting of three steps: polishing a working electrode to a mirror finish; roughening the electrode in an electrolyte solution; and, finally, depositing the nicotine analyte onto the roughened electrode after immersion in a sample solution. During the reduction cycle, a large enhancement in nicotine Raman scattering is observed at the electrode surface. The intensity of the SERS signal on a silver electrode is linear with concentration from 10 to 900 ppb, with an estimated detection limit of 7 ppb. The total analysis time per sample is approximately five minutes. This procedure has been used to analyze the extract from a cigarette side-stream smoke sample (environmental tobacco smoke); the SERS results agree well with those of conventional gas chromatographic analysis.

PDF Article
More Like This
Surface enhanced Raman scattering (SERS) by molecules adsorbed at spherical particles

M. Kerker, D.-S. Wang, and H. Chew
Appl. Opt. 19(19) 3373-3388 (1980)

Surface enhanced Raman scattering (SERS) by molecules adsorbed at spherical particles: errata

Milton Kerker, Dau-Sing Wang, and H. Chew
Appl. Opt. 19(24) 4159-4174 (1980)

Deterministic aperiodic arrays of metal nanoparticles for surface-enhanced Raman scattering (SERS)

Ashwin Gopinath, Svetlana V. Boriskina, Bjorn M. Reinhard, and Luca Dal Negro
Opt. Express 17(5) 3741-3753 (2009)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.