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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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Raman Spectroscopy: Overview01:20

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
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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.
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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Wavenumber Calibration Protocol for Raman Spectrometers Using Physical Modelling and a Fast Search Algorithm.

Dongyue Liu1, Bryan M Hennelly1,2

  • 1Department of Electronic Engineering, Maynooth University, Kildare, Ireland.

Applied Spectroscopy
|June 2, 2024
PubMed
Summary
This summary is machine-generated.

A new Raman spectroscopy calibration method uses a physical model to accurately determine wavenumber shifts, outperforming traditional polynomial fitting. This technique enhances spectral analysis, especially for regions beyond reference peaks.

Keywords:
Czerny–Turner spectrographWavenumber calibrationreference wavenumber standardtransmission spectrometer

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Area of Science:

  • Spectroscopy
  • Analytical Chemistry
  • Physical Chemistry

Background:

  • Accurate wavenumber calibration is crucial for Raman spectroscopy analysis.
  • Polynomial fitting is a common but potentially less accurate method for calibration.
  • Existing calibration methods may struggle with accuracy in specific spectral regions.

Purpose of the Study:

  • To propose and validate a novel wavenumber calibration protocol for Raman spectroscopy.
  • To replace polynomial fitting with a physically-modeled approach for improved accuracy.
  • To introduce new evaluation metrics for assessing calibration performance.

Main Methods:

  • Derivation of a mathematical expression based on a physical model of the Raman spectrometer.
  • Utilizing system parameters like focal length, grating angle, and laser wavelength.
  • Development of a fast search algorithm to identify optimal system parameters using reference standards.
  • Application of chemometric cross-validation techniques (leave-one-out, leave-half-out).

Main Results:

  • Demonstrated superior accuracy of the physical model-based calibration compared to polynomial fitting.
  • Validation across multiple reference standards, systems, and spectral datasets.
  • Enhanced performance observed particularly in spectral regions outside outermost reference peaks.
  • Successful application to both reflection and transmission gratings.

Conclusions:

  • The proposed physical model-based wavenumber calibration offers superior accuracy over polynomial fitting.
  • This method provides a more robust and reliable approach for Raman spectroscopy.
  • The introduced evaluation metrics offer a standardized way to assess calibration quality.