Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 46,
  • Issue 2,
  • pp. 277-282
  • (1992)

Simultaneous GC-FT-IR/GC-MS Analysis for Isomer-Specific Identification and Quantitation of Complex Mixture Components

Not Accessible

Your library or personal account may give you access

Abstract

The construction and capabilities of a new instrument combining infrared and mass spectrometry to simultaneously examine the effluent from a single capillary column gas chromatographic injection are described. Gas chromatography-mass spectrometry (GC-MS) is performed in the conventional manner. However, the Fourier transform infrared (FT-IR) portion of the instrument employs a new sampling method involving low-temperature trapping of the effluent from the gas chromatograph. The mass spectrometer was over two orders of magnitude more sensitive (161 fg detection limit for naphthalene) than the infrared (40 pg). The qualitative capabilities of infrared spectrometry, particularly when isomer-specific identifications are necessary, are shown to be highly complementary to the usual GC-MS method for analyzing complex mixtures.

PDF Article
More Like This
Organic Analysis

K. Biemann
Appl. Opt. 9(6) 1282-1288 (1970)

Ultraviolet laser microplasma–gas chromatography detector: detection of species-specific fragment emission

Randy J. Locke, Jeffrey B. Morris, Brad E. Forch, and Andrzej W. Miziolek
Appl. Opt. 29(33) 4987-4992 (1990)

Quantitative analysis of essential oils of Thymus daenensis using laser-induced fluorescence and Raman spectroscopy

H. Khoshroo, H. Khadem, M. Bahreini, S. H. Tavassoli, and J. Hadian
Appl. Opt. 54(32) 9533-9539 (2015)

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.