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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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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.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
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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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¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.1K
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.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
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NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

723
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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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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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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Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS
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Removing non-resonant background from broadband CARS using a physics-informed neural network.

Ryan Muddiman1, Kevin O' Dwyer1, Charles H Camp2

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

Analytical Methods : Advancing Methods and Applications
|August 4, 2023
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Summary

This study introduces a new computational system to improve chemical analysis using Broadband Coherent Anti-Stokes Raman Scattering (BCARS) spectroscopy. The system accurately retrieves Raman signals by accounting for non-resonant background noise.

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Area of Science:

  • Spectroscopy
  • Chemical Analysis
  • Computational Chemistry

Background:

  • Broadband Coherent Anti-Stokes Raman Scattering (BCARS) offers rapid, high-quality spectral data.
  • Raw BCARS spectra contain non-resonant electronic signals that complicate chemical analysis.
  • Previous methods using simulated data showed promise for Raman signal retrieval.

Purpose of the Study:

  • To develop an improved computational system for BCARS data analysis.
  • To accurately retrieve pure Raman signals from complex BCARS spectra.
  • To enhance the reliability of chemical analyses using BCARS spectroscopy.

Main Methods:

  • Developed a computational system integrating experimental laser properties and simulated susceptibilities.
  • Employed a deep convolutional autoencoder network trained on system-specific data.
  • Validated the method using both simulated and experimentally acquired BCARS data.

Main Results:

  • The new system successfully maps susceptibility to the measured BCARS response.
  • Accurate retrieval of Raman signals was demonstrated on simulated and experimental datasets.
  • The computational approach effectively mitigates non-resonant background interference.

Conclusions:

  • The developed computational system enhances the accuracy of Raman signal extraction from BCARS spectra.
  • This method improves the quality and reliability of chemical analyses performed with BCARS.
  • The system provides a robust solution for addressing spectral interferences in BCARS measurements.