Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 47,
  • Issue 11,
  • pp. 1767-1771
  • (1993)

Determination of Organics on Metal Surfaces by Raman Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

Detection limits of about 1 g/m<sup>2</sup> are demonstrated for the Raman determination of two organic materials, polydimethylsiloxane and dimethyl methylphosphonate, on an aluminum surface. A fiber-optic-based system is used. A large sample area is scanned to overcome heterogeneity in sample coverage. Measurements are made without use of an internal standard. Results are reported for both a Hadamard transform technique with argon-ion laser excitation and a conventional spectrometer with diode laser excitation.

PDF Article
More Like This
Application of Raman spectroscopy to metal-sulfide surface analysis

Stephen B. Turcotte, Robert E. Benner, Andrew M. Riley, Jun Li, Milton E. Wadsworth, and David Bodily
Appl. Opt. 32(6) 935-938 (1993)

Detection of trace organics in Martian soil analogs using fluorescence-free surface enhanced 1064-nm Raman Spectroscopy

Suning Tang, Bin Chen, Christopher P. McKay, Rafael Navarro-Gonzálezv, and Alan X. Wang
Opt. Express 24(19) 22104-22109 (2016)

Ultrasensitive enhanced Raman spectroscopy by hybrid surface-enhanced and interference-enhanced Raman scattering with metal-insulator-metal structures

Kaipeng Liu, Tiancheng Gong, Yunfei Luo, Weijie Kong, Weisheng Yue, Changtao Wang, and Xiangang Luo
Opt. Express 31(10) 15848-15863 (2023)

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.