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Related Concept Videos

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
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When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Employing the Forced Oscillation Technique for the Assessment of Respiratory Mechanics in Adults
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Range-resolved vibrometry using a frequency comb in the OSCAT configuration.

Sylvain Boudreau, Jérôme Genest

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    |April 11, 2014
    PubMed
    Summary

    Frequency combs enable range-resolved vibrometry, capturing sounds from surfaces like walls and glass. A new algorithm allows selective vibration demodulation from specific surfaces, even when multiple are present.

    Area of Science:

    • Optics and Photonics
    • Acoustics
    • Vibration Analysis

    Background:

    • Vibrometry techniques are crucial for non-contact measurement of surface vibrations.
    • Frequency comb spectroscopy offers high resolution and precision for various applications.
    • Existing dual comb spectroscopic techniques have limitations in range resolution and surface selectivity.

    Purpose of the Study:

    • To present two novel methods for range-resolved vibrometry using frequency combs.
    • To develop a modified correction algorithm for improved accuracy in dual comb vibrometry.
    • To demonstrate the capability of selecting specific vibrating surfaces for vibration demodulation.

    Main Methods:

    • Utilized frequency comb technology for vibrometry measurements.
    • Developed and applied a modified correction algorithm tailored for dual comb spectroscopy.

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  • Performed measurements on various vibrating surfaces, including diffuse walls and glass slabs.
  • Implemented range selection for isolating vibration signals from specific surfaces.

    • Main Results:

    • Successfully recovered human voice samples and other sounds from different vibrating surfaces.
    • Demonstrated effective range-resolved vibrometry, distinguishing vibrations from multiple surfaces.
    • Validated the performance of the modified correction algorithm and range selection technique.

    Conclusions:

    • Frequency comb-based range-resolved vibrometry is a viable technique for sound and vibration analysis.
    • The developed algorithm and range selection enhance the specificity and applicability of dual comb vibrometry.
    • This method holds potential for applications requiring precise, non-contact measurement of vibrations from selected surfaces.