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Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
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IR Spectrometers01:25

IR Spectrometers

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...
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
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IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
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Related Experiment Video

Updated: Jun 12, 2026

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
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Published on: June 27, 2014

Eliminating channel spectra in Fourier transform spectroscopy.

D A Naylor, A A Schultz, T A Clark

    Applied Optics
    |June 10, 2010
    PubMed
    Summary

    A new numerical method effectively removes channel spectra from infrared Fourier transform spectrometer data. This technique offers improved accuracy for spectral analysis compared to existing methods.

    Area of Science:

    • Spectroscopy
    • Analytical Chemistry
    • Instrumental Analysis

    Background:

    • Infrared Fourier transform spectrometry (FTIR) is a powerful technique for molecular analysis.
    • Channel spectra can arise from instrumental artifacts, complicating spectral interpretation.
    • Accurate spectral data is crucial for various scientific and industrial applications.

    Purpose of the Study:

    • To develop a novel numerical method for eliminating channel spectra from FTIR data.
    • To evaluate the performance of the new method against established techniques.
    • To enhance the reliability of spectral data obtained from bandlimited FTIR instruments.

    Main Methods:

    • Development of a new numerical algorithm for channel spectra removal.
    • Application of the method to synthetic model spectra.

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  • Comparative analysis with existing channel spectra elimination techniques.
  • Main Results:

    • The developed numerical method successfully eliminates channel spectra.
    • The new method demonstrates superior performance compared to commonly used techniques on synthetic data.
    • Validation of the method's efficacy in improving spectral data quality.

    Conclusions:

    • The proposed numerical method provides an effective solution for channel spectra removal in FTIR.
    • This advancement can lead to more accurate and reliable spectroscopic analyses.
    • The technique is particularly beneficial for bandlimited infrared Fourier transform spectrometers.