Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 51,
  • Issue 11,
  • pp. 1736-1740
  • (1997)

Generalized Two-Dimensional Fourier Transform Infrared Photoacoustic Spectral Depth-Profiling Analysis

Not Accessible

Your library or personal account may give you access

Abstract

This paper reports the first application of a generalized two-dimensional (G2D) correlation method in photoacoustic spectral depthprofiling analysis of laminate/heterogeneous samples. In this method, photoacoustic magnitude spectra at different modulation frequencies are used to generate two-dimensional (2D) correlation spectra. The relative spatial origins of correlated signals are then determined from the signs of the corresponding contours. The unique features and advantages of this technique over previously reported depth-profiling methods are demonstrated and discussed. These include simplification of step-scan photoacoustic phase-modulation experiments as well as 2D correlation-analysis rules, avoidance of phase-related negative-band ambiguities, and enhancement of both spectral and depth resolutions, etc. The recently developed software-based digital signal-processing (DSP) technique for stepscan photoacoustic measurements offers an efficient means (sampling-depth multiplexing advantage) to collect within a single scan all necessary data for this type of 2D correlation analysis.

PDF Article
More Like This
Photoacoustic phase-controlled Fourier-transform infrared spectroscopy

Santeri Larnimaa, Mikhail Roiz, and Markku Vainio
Opt. Continuum 2(3) 564-578 (2023)

Active phase stabilization in Fourier-transform two-dimensional infrared spectroscopy

Victor Volkov, Roland Schanz, and Peter Hamm
Opt. Lett. 30(15) 2010-2012 (2005)

Quantitative Fourier transform IR photoacoustic spectroscopy of condensed phases

Y. C. Teng and B. S. H. Royce
Appl. Opt. 21(1) 77-80 (1982)

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.