Analysis of the cytochrome distribution via linear and nonlinear Raman spectroscopy

The Analyst ◽  
2010 ◽  
Vol 135 (5) ◽  
pp. 908 ◽  
Author(s):  
Angela Walter ◽  
Susann Erdmann ◽  
Thomas Bocklitz ◽  
Elke-Martina Jung ◽  
Nadine Vogler ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Linear And Nonlinear

Recent advances in linear and nonlinear Raman spectroscopy. Part XIII

2019 ◽  
Vol 50 (12) ◽  
pp. 1783-1806 ◽  
Author(s):  
Laurence A. Nafie
Keyword(s):  
Raman Spectroscopy ◽  
Recent Advances ◽  
Linear And Nonlinear

Linear and Nonlinear Calibration Methods for Predicting Mechanical Properties of Polypropylene Pellets Using Raman Spectroscopy

2016 ◽  
Vol 70 (7) ◽  
pp. 1118-1127 ◽  
Author(s):  
Julio Banquet-Terán ◽  
Boris Johnson-Restrepo ◽  
Alveiro Hernández-Morelo ◽  
Jorge Ropero ◽  
Miriam Fontalvo-Gomez ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Raman Spectroscopy ◽  
Calibration Methods ◽  
Linear And Nonlinear ◽  
Nonlinear Calibration

Recent advances in linear and nonlinear Raman spectroscopy II

2008 ◽  
Vol 39 (12) ◽  
pp. 1710-1725 ◽  
Author(s):  
W. Kiefer
Keyword(s):  
Raman Spectroscopy ◽  
Recent Advances ◽  
Linear And Nonlinear

Linear and Nonlinear Raman Spectroscopy of Gases

2002 ◽  
pp. 409-415
Author(s):  
Heinz W. Schrötter
Keyword(s):  
Raman Spectroscopy ◽  
Linear And Nonlinear

A Mixed Linear/Nonlinear Least-Squares Method for Determining Line Parameters from Noisy Spectra

1989 ◽  
Vol 43 (3) ◽  
pp. 558-566 ◽  
Author(s):  
Amedeo Premoli ◽  
Maria Luisa Rastello
Keyword(s):  
Raman Spectroscopy ◽  
Least Squares Method ◽  
Nonlinear Least Squares ◽  
Direct Analysis ◽  
Measured Data ◽  
Line Profiles ◽  
Linear And Nonlinear ◽  
Nonlinear Least Squares Method ◽  
Ir And Raman

The determination of the parameters characterizing line profiles embedded in a noisy spectrum is an important task in IR and Raman spectroscopy. A direct analysis from an inspection of the spectrum is often difficult in the presence of overlapped profiles and/or considerable background. This paper presents an algorithm based on alternate stages of linear and nonlinear optimization for extracting Lorentzians or Gaussians from the measured data, taking into account the presence of a frequency-dependent background superimposed onto white noise. The analysis of several experimental spectra shows the capability of the algorithm in discriminating noisy and partially overlapped profiles.

Recent advances in linear and nonlinear Raman spectroscopy. Part IV

2010 ◽  
Vol 41 (12) ◽  
pp. 1566-1586 ◽  
Author(s):  
Laurence A. Nafie
Keyword(s):  
Raman Spectroscopy ◽  
Recent Advances ◽  
Linear And Nonlinear

Recent advances in linear and nonlinear Raman spectroscopy. Part V

2011 ◽  
Vol 42 (12) ◽  
pp. 2049-2068 ◽  
Author(s):  
Laurence A. Nafie
Keyword(s):  
Raman Spectroscopy ◽  
Recent Advances ◽  
Linear And Nonlinear
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