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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...
476
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
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¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

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A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
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Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a low-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.
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Reconstruction of Raman Spectra of Biochemical Mixtures Using Group and Basis Restricted Non-Negative Matrix

Kirsty Milligan1, Kendra Scarrott2, Jeffrey L Andrews3

  • 1Department of Physics, The University of British Columbia-Okanagan, Kelowna, BC, Canada.

Applied Spectroscopy
|April 25, 2023
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This study validates a Group- and Basis-Restricted Non-Negative Matrix Factorization (GBR-NMF) model for analyzing Raman spectroscopy data. The GBR-NMF model accurately reconstructs biochemical mixtures, showing robustness across various conditions.

Keywords:
GBR-NMFNMFRaman spectroscopygroup and basis-restricted non-negative matrix factorizationnon-negative matrix factorizationradiation responseradiation therapy

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Area of Science:

  • Biophysics
  • Biochemistry
  • Spectroscopy

Background:

  • Raman spectroscopy provides biochemical insights but data interpretation is challenging.
  • Principal Component Analysis (PCA) is a common dimensionality reduction technique.
  • Group- and Basis-Restricted Non-Negative Matrix Factorization (GBR-NMF) offers improved biological interpretability for Raman data.

Purpose of the Study:

  • To evaluate and compare the accuracy of a GBR-NMF model for deconstructing Raman spectroscopy data.
  • To assess the impact of various factors on GBR-NMF model robustness.
  • To determine the model's ability to accurately reflect biochemical concentrations in mixtures.

Main Methods:

  • The study utilized GBR-NMF to analyze three mixture solutions with known concentrations.
  • Factors assessed included solid vs. solution bases spectra, noise tolerance, and the number of unconstrained components.
  • Model robustness was evaluated by comparing GBR-NMF scores to known concentrations and data reconstruction accuracy.

Main Results:

  • Solid bases spectra were comparable to solution bases spectra in the GBR-NMF model.
  • The GBR-NMF model demonstrated tolerance to high noise levels, especially with solid bases spectra.
  • Including an unconstrained component did not significantly affect deconstruction when all biochemicals were included as bases.

Conclusions:

  • The GBR-NMF framework is a robust tool for analyzing Raman spectroscopy data from biological samples.
  • Model performance can vary depending on the spectral similarity of biochemicals within the mixture.
  • GBR-NMF provides a reliable method for monitoring biochemical changes, such as in radiation response studies.