Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 49,
  • Issue 4,
  • pp. 508-512
  • (1995)

Quantitative Detection of Environmentally Important Dyes Using Diode Laser/Fiber-Optic Raman Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

A compact diode laser/fiber-optic Raman spectrometer is used for quantitative detection of environmentally important dyes. This system is based on diode laser excitation at 782 nm, fiber-optic probe technology, an imaging spectrometer, and a state-of-the-art scientific CCD camera. The dyes studied include trypan blue, acid black 1, acid blue 40, and basic blue 7. Detection sensitivities (at rms S/N = 2) ranged from 0.2 ppm (3.24 x 10<sup>-7</sup> M) for acid black 1, to 25 ppm (4.86 x 10<sup>-5</sup> M) for basic blue 7.

PDF Article
More Like This
Detection of carcinogenic chromium in synthetic hair dyes using laser induced breakdown spectroscopy

M. A. Gondal, Y. W. Maganda, M. A. Dastageer, F. F. Al Adel, A. A. Naqvi, and T. F. Qahtan
Appl. Opt. 53(8) 1636-1643 (2014)

Rapid quantitative analysis of calcium in infant formula powder assisted by long short-term memory with variable importance using laser-induced breakdown spectroscopy

Yu Ding, Linyu Yang, Wenjie Chen, Jing Chen, Xingqiang Zhao, Yong Luo, and Wangping Zhou
Appl. Opt. 62(9) 2188-2194 (2023)

Fiber-optic laser-induced fluorescence probe for the detection of environmental pollutants

J. Bublitz, M. Dickenhausen, M. Grätz, S. Todt, and W. Schade
Appl. Opt. 34(18) 3223-3233 (1995)

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.