Molecular self-healing mechanisms between C60-fullerene and anthracene unveiled by Raman and two-dimensional correlation spectroscopy

2016 ◽  
Vol 18 (27) ◽  
pp. 17973-17982 ◽  
Author(s):  
R. Geitner ◽  
J. Kötteritzsch ◽  
M. Siegmann ◽  
R. Fritzsch ◽  
T. W. Bocklitz ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Correlation Analysis ◽  
Correlation Spectroscopy ◽  
C60 Fullerene ◽  
Self Healing ◽  
Two Dimensional ◽  
Ft Raman Spectroscopy ◽  
2D Correlation Analysis ◽  
Ft Raman

C60-fullerene–anthracene self-healing copolymers were studied by time-, temperature- and concentration-dependent FT-Raman spectroscopy and advanced 2D correlation analysis.

Micro and two-dimensional NIR FT raman spectroscopy

1994 ◽  
Vol 349 (1-3) ◽  
pp. 4-10 ◽  
Author(s):  
B. Schrader ◽  
G. Baranoviċ ◽  
S. Keller ◽  
J. Sawatzki
Keyword(s):  
Raman Spectroscopy ◽  
Two Dimensional ◽  
Ft Raman Spectroscopy ◽  
Ft Raman

scholarly journals New Approach to Generalized Two-Dimensional Correlation Spectroscopy. 1: Combination of Principal Component Analysis and Two-Dimensional Correlation Spectroscopy

2002 ◽  
Vol 56 (12) ◽  
pp. 1562-1567 ◽  
Author(s):  
Young Mee Jung ◽  
Hyeon Suk Shin ◽  
Seung Bin Kim ◽  
Isao Noda
Keyword(s):  
Principal Component Analysis ◽  
Correlation Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Correlation Spectroscopy ◽  
Data Matrix ◽  
Two Dimensional ◽  
Noise Component ◽  
Reconstructed Data ◽  
2D Correlation Analysis

The direct combination of chemometrics and two-dimensional (2D) correlation spectroscopy is considered. The use of a reconstructed data matrix based on the significant scores and loading vectors obtained from the principal component analysis (PCA) of raw spectral data is proposed as a method to improve the data quality for 2D correlation analysis. The synthetic noisy spectra were analyzed to explore the novel possibility of the use of PCA-reconstructed spectra, which are highly noise suppressed. 2D correlation analysis of this reconstructed data matrix, instead of the raw data matrix, can significantly reduce the contribution of the noise component to the resulting 2D correlation spectra.

Two-dimensional Raman correlation spectroscopy reveals molecular structural changes during temperature-induced self-healing in polymers based on the Diels–Alder reaction

2015 ◽  
Vol 17 (35) ◽  
pp. 22587-22595 ◽  
Author(s):  
R. Geitner ◽  
J. Kötteritzsch ◽  
M. Siegmann ◽  
T. W. Bocklitz ◽  
M. D. Hager ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Structural Changes ◽  
Alder Reaction ◽  
Diels Alder ◽  
Correlation Spectroscopy ◽  
Self Healing ◽  
Two Dimensional ◽  
Diels Alder Reaction ◽  
First Time ◽  
Raman Correlation Spectroscopy

For the first time two-dimensional Raman correlation analysis has been used to study self-healing polymers based on the Diels–Alder reaction.

Two-Dimensional Correlation Spectroscopy: Effect of Reference Spectrum on Noise-Free and Noisy Spectra

2003 ◽  
Vol 57 (8) ◽  
pp. 991-995 ◽  
Author(s):  
Mirosław A. Czarnecki
Keyword(s):  
Correlation Analysis ◽  
Correlation Spectroscopy ◽  
The Other ◽  
Reference Spectrum ◽  
Two Dimensional ◽  
Data Set ◽  
Noise Effect ◽  
Contour Plots ◽  
Selection Of ◽  
2D Correlation Analysis

It has been shown that for two-dimensional (2D) correlation analysis with a perturbation average, the first or the last spectrum in the data set as a reference provides identical qualitative results. On the other hand, selection of the reference spectrum significantly different from the spectra used for 2D correlation analysis may complicate interpretation of the contour plots and in consequence lead to erroneous results. The effect of noise is relatively small when 2D correlation spectra are calculated without the reference spectrum. For the other reference spectra the magnitude of the noise effect is comparable. In all cases, the asynchronous spectra are more strongly affected by the noise as compared to the synchronous spectra.

Two-Dimensional Micro NIR FT Raman Spectroscopy

1989 ◽  
Author(s):  
Bernhard Schrader ◽  
Andreas Hoffmann ◽  
Rolf Podschadlowski ◽  
Arno Simon
Keyword(s):  
Raman Spectroscopy ◽  
Two Dimensional ◽  
Ft Raman Spectroscopy ◽  
Ft Raman

On-Line Monitoring of Airborne Chemistry in Levitated Nanodroplets:  In Situ Synthesis and Application of SERS-Active Ag−Sols for Trace Analysis by FT-Raman Spectroscopy

2003 ◽  
Vol 75 (9) ◽  
pp. 2166-2171 ◽  
Author(s):  
Nicolae Leopold ◽  
Michael Haberkorn ◽  
Thomas Laurell ◽  
Johan Nilsson ◽  
Josefa R. Baena ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Trace Analysis ◽  
In Situ Synthesis ◽  
Ft Raman Spectroscopy ◽  
On Line ◽  
Ft Raman

Application of FT-Raman spectroscopy to the study of selected organometallic complexes and proteins

1990 ◽  
Vol 68 (7) ◽  
pp. 1196-1200 ◽  
Author(s):  
Steven M. Barnett ◽  
François Dicaire ◽  
Ashraf A. Ismail
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
Metal Carbonyl ◽  
Protein A ◽  
Organometallic Complexes ◽  
Laser Source ◽  
Chromium Tricarbonyl ◽  
Ft Raman Spectroscopy ◽  
Arene Chromium Tricarbonyl ◽  
Ft Raman

The study of colored organometallic complexes by dispersive Raman spectroscopy has been limited due to fluorescence or photodecomposition caused by the visible laser used as the excitation source. As a solution to this problem, FT-Raman spectroscopy with a near-infrared laser source has been useful in lowering fluorescence or photolysis in these samples. To investigate the utility of this technique, we have obtained and assigned the FT-Raman spectra of a series of arene chromium tricarbonyl complexes and of cyclopentadienyl manganese tricarbonyl. Some bands previously unobserved by dispersive Raman spectroscopy were seen, including a band assigned to a 13CO satellite in the spectrum of methylbenzoate chromium tricarbonyl. In addition, FT-Raman data for bovine serum albumin (BSA) and Protein-A are presented. Keywords: FT-Raman spectroscopy, metal carbonyl, proteins, organometallics, near infrared.

FT-Raman spectroscopy of titania hydrolysates

1997 ◽  
Vol 53 (7) ◽  
pp. 969-977 ◽  
Author(s):  
Paul A. Venz ◽  
Ray L. Frost ◽  
J.R. Bartlett ◽  
J.L. Woolfrey
Keyword(s):  
Raman Spectroscopy ◽  
Ft Raman Spectroscopy ◽  
Ft Raman
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