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Related Concept Videos

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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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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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell. Samples for...
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Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
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Computer-assisted spectrophotometry: multicomponent analysis with a discrete fourier transform.

M A Korany1, M A Elsayed, M M Bedair

  • 1Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, University of Alexandria, Egypt.

Talanta
|December 1, 1990
PubMed
Summary

This study presents a computer-assisted method for analyzing multicomponent mixtures using absorbance and Fourier transform coefficients. The developed program efficiently processes spectral data for accurate chemical analysis.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Computational Chemistry

Background:

  • Multicomponent mixtures present analytical challenges due to overlapping spectral signals.
  • Accurate quantification requires sophisticated data processing techniques.

Purpose of the Study:

  • To develop a computer-assisted method for the analysis of multicomponent mixtures.
  • To integrate conventional absorbance data with discrete Fourier transform coefficients for enhanced analysis.

Main Methods:

  • The method utilizes a computer program to store absorbance data (A vs. lambda).
  • Data processing involves convolution with combined trigonometric functions (discrete Fourier transform coefficients).
  • Least-squares analysis is applied to solve simultaneous linear equations for component quantification.

Main Results:

  • The computer program successfully stores and processes spectral data.
  • The method enables the analysis of complex mixtures by combining absorbance and Fourier transform data.
  • Results can be displayed on screen, printer, or plotter for user convenience.

Conclusions:

  • The presented computer-assisted method offers an effective approach for multicomponent mixture analysis.
  • Integration of absorbance and Fourier transform coefficients improves analytical accuracy.
  • The software provides a versatile tool for spectral data processing and interpretation.