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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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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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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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Multi-way based calibration transfer between two Raman spectrometers.

Mohsen Kompany-Zareh1, Frans van den Berg

  • 1Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran. kompanym@iasbs.ac.ir

The Analyst
|April 21, 2010
PubMed
Summary
This summary is machine-generated.

A novel Tucker3 model algorithm enables calibration transfer between Raman spectrometers by treating spectral data as a missing data problem. This method improves prediction accuracy compared to existing techniques.

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Area of Science:

  • Spectroscopy
  • Chemometrics
  • Instrument Calibration

Background:

  • Calibration transfer is crucial for inter-instrument data comparability.
  • Raman spectroscopy presents challenges due to varying fluorescence backgrounds.
  • Existing methods may not adequately address complex spectral differences.

Purpose of the Study:

  • To propose a new algorithm for calibration transfer between dissimilar Raman spectrometers.
  • To investigate the efficacy of Tucker3 models for handling varying fluorescence.
  • To establish a missing data framework for spectral data transfer.

Main Methods:

  • Application of Tucker3 models to tensorized Raman spectral signals.
  • Utilizing Tucker3's missing value estimation for spectrum reconstruction.
  • Incorporating discrete wavelet transform to enhance predictive performance.
  • Comparison with piecewise direct standardization.

Main Results:

  • Successful transfer of spectral data between a portable CCD and a laboratory Fourier-transform Raman spectrometer.
  • The Tucker3 method demonstrated superior performance over piecewise direct standardization.
  • Accurate reconstruction of spectra without explicit transfer models.
  • Improved prediction accuracy using the proposed standardization method.

Conclusions:

  • The Tucker3-based standardization algorithm effectively addresses calibration transfer challenges in Raman spectroscopy.
  • This approach offers a robust solution for inter-instrument data harmonization, even with differing fluorescence.
  • The method shows potential for application beyond Raman spectroscopy.