Signal-to-Noise Ratio, Signal Processing, and Spectral Information in the Instrumental Analysis Laboratory

Jonathan P. Blitz and Douglas G. Klarup
Department of Chemistry, Eastern Illinois University, Charleston, IL 61920
J. Chem. Educ., 2002, 79 (11), p 1358
DOI: 10.1021/ed079p1358
Publication Date (Web): November 1, 2002

Abstract

A laboratory is described that illustrates concepts related to the signal-to-noise ratio, spectral data acquisition parameters, and signal processing. The laboratory is designed to illustrate the compromises one must make between signal-to-noise ratio, spectral information, and analysis time. Using an FTIR spectrometer, the signal-to-noise ratio is obtained as a function of spectral resolution and frequency range. The S/N increases with decreasing resolution, and can be correlated with the single beam signal intensity. Digital smoothing with various numbers of smoothed points is performed to illustrate how the S/N can be enhanced. A plot of signal-to-noise ratio versus the number of scans co-added (at constant resolution) fits a power curve with an exponential very close to the theoretical value of 0.5. Single-beam atmospheric CO2 spectra are obtained at various resolutions to illustrate the loss of spectral information at low resolution. Spectra are compared after applying digital smoothing routines to a high resolution spectrum to illustrate the potential drawbacks of this S/N enhancement technique.

Keywords (Audience):

Second-Year Undergraduate

Keywords (Domain):

Analytical Chemistry

Keywords (Pedagogy):

Hands-On Learning / Manipulatives

Keywords (Subject):

Instrumental Methods

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This article has been cited by 1 ACS Journal articles (1 most recent appear below).

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    "Audibilization" in the Chemistry Laboratory: An Introduction to Correlation Techniques for Data Extraction

    James W. Hovick , Michael Murphy and J. C. Poler
    Journal of Chemical Education2007 84 (8), 1331
    • "Audibilization" in the Chemistry Laboratory: An Introduction to Correlation Techniques for Data Extraction

      James W. Hovick , Michael Murphy and J. C. Poler
      Journal of Chemical Education2007 84 (8), 1331

      A sequence of experiments has been developed that introduce junior-level undergraduate chemistry students to data correlation techniques. We describe these experiments and how they can be implemented in physical chemistry or analytical chemistry ...

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  • Received: August 03, 2009

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