Advances in two-dimensional correlation spectroscopy

Noda, Isao

doi:10.1016/j.vibspec.2003.12.016

Cited by 235 publications

(152 citation statements)

References 260 publications

(342 reference statements)

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“…This is supplied by the use of the 2D correlation technique (C2D), introduced notably in vibrational spectroscopy by Noda. 23 As seen previously on SiC fibres, 24 a halo on the C2D map corresponds to a correlated evolution in intensity. Hence, the synchronous C2D treatment in the range 1100-1800 cm 1 (Fig.…”

Section: Validation Of Spectral Decompositionmentioning

confidence: 52%

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Nanomechanics of single keratin fibres: A Raman study of the α‐helix →β‐sheet transition and the effect of water

Paquin

Colomban

2006

J Raman Spectroscopy

111

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The use of micro-Raman spectroscopy, through chemical-bond, nano-scale probes, allows the changes in conformations (a-helix → b-sheet), chain orientation, breakage of disulfide bonds (20%) and the increase of intra-and inter-chain distances during the application of stress to be distinguished. The combination of micro-Raman spectroscopy and a Universal Fibre Tester allows a quantitative measurement of the extension of chemical bonds in the peptide chain during loading. The nano-structural transformations of keratin during strain of human hair in a dry environment (40-60% relative humidity) and saturated with water have been studied. Water permits the sliding of the chains and decreases the bond energy of the hair. Spectral analyses and 2D correlation are two coherent and independent methods to follow the structural nano-mechanical (Raman) and micro-mechanical (strain/stress) analyses, and confirm the validity of the experimental results, tools and principles used, as well as the agreement with the structural model of keratin fibres described by Chapman and Hearle.

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Section: Validation Of Spectral Decompositionmentioning

confidence: 52%

“…The spectral evolutions and correlations were extracted using the laboratory-written CORDE software, which is based on a 2D correlation method. 23,24 Actually, nine perpendicular Raman spectra (1100-1800 cm 1 ) with an increment of 5% strain were considered (0-40%).…”

Section: Data Treatmentmentioning

confidence: 99%

Nanomechanics of single keratin fibres: A Raman study of the α‐helix →β‐sheet transition and the effect of water

Paquin

Colomban

2006

J Raman Spectroscopy

111

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“…[2] 2DCoS has become a valuable tool for studying complicated biochemical processes and the structure of biomolecules when combined with infrared (IR), Raman, nuclear magnetic resonance (NMR) and fluorescence spectroscopic techniques. [3] 2D correlation maps are particularly sensitive to subtle spectral changes such as band broadening, band shift or asynchronous intensity changes in different spectral regions. All these effects are often overlooked by conventional chemometrics methods, while these can be crucial for understanding the nature of biochemical processes under study.…”

Section: Introductionmentioning

confidence: 99%

Two‐dimensional correlation Raman spectroscopy for characterizing protein structure and dynamics

Shashilov

Lednev

2009

J Raman Spectroscopy

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Since the initial introduction of the basic concept almost twenty years ago, two-dimensional correlation spectroscopy (2DCoS) has become a popular analytical tool applicable to a broad range of science problems. Vibrational spectroscopy remains the major area of 2DCoS applications where infrared spectroscopy is the most popular technique followed by Raman and Near Infrared spectroscopies. An increasing number of publications over the past few years have established Raman 2DCoS as a powerful problem solving technique in protein studies. In this review we provide a critical survey of recent protein studies using the 2DCoS Raman approach. We also analyze common misconceptions and potential pitfalls in the interpretation of 2D correlation data. Over the past decade, there have been a number of publications pointing to artifacts associated with visualization and interpretation of 2D correlation maps. We demonstrate here how some of the 'artifacts' of the 2DCoS approach in -reality turn into the strength of the method.

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“…using simple sign associations, 2d spectral correlation analysis can provide much improved visualization of spectral features, consequently simplifying the identification of dynamic spectral changes, as well as probing the sequential information contained within the experimental data [90,91]. 2d correlation also allows perturbation-induced data sets from two different spectroscopic techniques, such as corresponding Raman and RoA spectra measured simultaneously on the same sample, to be compared through so-called heterospectral or heterocorrelation spectroscopy.…”

Section: Two-dimensional Correlation Analysismentioning

confidence: 99%