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Related Concept Videos

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

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A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
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IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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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.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
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Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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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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Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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IR Spectrometers01:25

IR Spectrometers

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
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Robust gas quantification in mid-infrared FTIR spectroscopy via a suppression-adaptation-optimization model.

Yuhao Wang, Li Wan, Zuozifei Song

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    A new suppression-adaptation-optimization (SAO) model improves mid-infrared Fourier transform infrared (FTIR) spectroscopy for multi-gas detection. This method enhances accuracy by reducing noise and spectral interferences in practical measurement conditions.

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    Area of Science:

    • Spectroscopy
    • Analytical Chemistry
    • Environmental Monitoring

    Background:

    • Mid-infrared Fourier transform infrared (FTIR) spectroscopy offers high sensitivity for multi-gas detection.
    • Instrumental noise and environmental factors challenge accurate FTIR quantification.

    Purpose of the Study:

    • To develop a robust quantification model for FTIR spectroscopy under practical conditions.
    • To mitigate spectral fluctuations and interferences affecting gas concentration retrieval.

    Main Methods:

    • A suppression-adaptation-optimization (SAO) model was developed, integrating noise suppression, residual adaptation, and loss function optimization.
    • The model utilizes a physics-based forward model for residual correction and iterative optimization.
    • A generalized loss function and the Yogi optimizer were employed for enhanced performance.

    Main Results:

    • The SAO model effectively mitigates the quantitative impact of spectral deviations.
    • Compared to the Levenberg-Marquardt method, SAO reduced concentration standard deviation by at least 15% in simulations and up to 20% in experiments.
    • The model demonstrated robustness in retrieving CO2, N2O, and CO concentrations from noisy spectra.

    Conclusions:

    • Integrating noise suppression and residual correction significantly enhances FTIR gas quantification robustness.
    • The SAO model shows potential for reliable industrial monitoring applications requiring precise gas detection.