Literature DB >> 28665140

An Empirical Study on Raman Peak Fitting and Its Application to Raman Quantitative Research.

Xueyin Yuan1, Robert A Mayanovic2.   

Abstract

Fitting experimentally measured Raman bands with theoretical model profiles is the basic operation for numerical determination of Raman peak parameters. In order to investigate the effects of peak modeling using various algorithms on peak fitting results, the representative Raman bands of mineral crystals, glass, fluids as well as the emission lines from a fluorescent lamp, some of which were measured under ambient light whereas others under elevated pressure and temperature conditions, were fitted using Gaussian, Lorentzian, Gaussian-Lorentzian, Voigtian, Pearson type IV, and beta profiles. From the fitting results of the Raman bands investigated in this study, the fitted peak position, intensity, area and full width at half-maximum (FWHM) values of the measured Raman bands can vary significantly depending upon which peak profile function is used in the fitting, and the most appropriate fitting profile should be selected depending upon the nature of the Raman bands. Specifically, the symmetric Raman bands of mineral crystals and non-aqueous fluids are best fit using Gaussian-Lorentzian or Voigtian profiles, whereas the asymmetric Raman bands are best fit using Pearson type IV profiles. The asymmetric O-H stretching vibrations of H2O and the Raman bands of soda-lime glass are best fit using several Gaussian profiles, whereas the emission lines from a florescent light are best fit using beta profiles. Multiple peaks that are not clearly separated can be fit simultaneously, provided the residuals in the fitting of one peak will not affect the fitting of the remaining peaks to a significant degree. Once the resolution of the Raman spectrometer has been properly accounted for, our findings show that the precision in peak position and intensity can be improved significantly by fitting the measured Raman peaks with appropriate profiles. Nevertheless, significant errors in peak position and intensity were still observed in the results from fitting of weak and wide Raman bands having unnormalized intensity/FWHM ratios lower than 200 counts/cm-1.

Entities:  

Keywords:  Raman spectroscopy; data processing; peak fitting; quantification

Year:  2017        PMID: 28665140     DOI: 10.1177/0003702817721527

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  6 in total

1.  Rise of Raman spectroscopy in neurosurgery: a review.

Authors:  Damon DePaoli; Émile Lemoine; Katherine Ember; Martin Parent; Michel Prud'homme; Léo Cantin; Kevin Petrecca; Frédéric Leblond; Daniel C Côté
Journal:  J Biomed Opt       Date:  2020-05       Impact factor: 3.170

2.  Critical Evaluation of Spectral Resolution Enhancement Methods for Raman Hyperspectra.

Authors:  H Georg Schulze; Shreyas Rangan; Martha Z Vardaki; Michael W Blades; Robin F B Turner; James M Piret
Journal:  Appl Spectrosc       Date:  2021-12-22       Impact factor: 2.388

3.  Raman and Photoluminescence Spectroscopy with a Variable Spectral Resolution.

Authors:  Ivan Pavić; Joško Šoda; Vlatko Gašparić; Mile Ivanda
Journal:  Sensors (Basel)       Date:  2021-11-28       Impact factor: 3.576

4.  Validity and reliability of Raman spectroscopy for carotenoid assessment in cattle skin.

Authors:  Megha Mehta; Rafea Naffa; Wenkai Zhang; Nicola M Schreurs; Mark Waterland; Sue Cooper; Geoff Holmes
Journal:  Biochem Biophys Rep       Date:  2021-06-02

5.  A Raman algorithm to estimate human age from protein structural variations in autopsy skin samples: a protein biological clock.

Authors:  Daisuke Miyamori; Takeshi Uemura; Wenliang Zhu; Kei Fujikawa; Takaaki Nakaya; Satoshi Teramukai; Giuseppe Pezzotti; Hiroshi Ikegaya
Journal:  Sci Rep       Date:  2021-03-15       Impact factor: 4.379

6.  Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study.

Authors:  Wei Liu; Jia-Wei Tang; Jing-Wen Lyu; Jun-Jiao Wang; Ya-Cheng Pan; Xin-Yi Shi; Qing-Hua Liu; Xiao Zhang; Bing Gu; Liang Wang
Journal:  Microbiol Spectr       Date:  2022-02-02
  6 in total

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