Novel developments and applications of two-dimensional correlation spectroscopy

Park, Yeonju; Noda, Isao; Jung, Young Mee

doi:10.1016/j.molstruc.2016.01.028

Cited by 78 publications

(19 citation statements)

References 286 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Completing this experimental technique with a proper theoretical model-fitting methodology is commonly used for the study of kinetic parameters such as the apparent activation energy Ea, the pre-exponential factor A and the reaction model f(α) , which yield the so-called kinetic triplet [329], [330]. The hyphenation with techniques such as GC-MS or FT-IR for identification and quantification of gases [331], as well as the use of 2D-correlation spectroscopy to set the sequences of release of gases complete the analysis [330], [332], [333].…”

Section: Tests To Approach the Pyrolysis And Combustion Of Bioplasticsmentioning

confidence: 99%

Long-term properties and end-of-life of polymers from renewable resources

Badía

Cháfer

Ribes‐Greus

2017

Polymer Degradation and Stability

100

View full text Add to dashboard Cite

The long-term properties and end-of-life of polymers are not antagonist issues. They actually are inherently linked by the duality between durability and degradation. The control of the service-to-disposal pathway at useful performance, along with low-impact disposal represents an added-value. Therefore, the routes of design, production, and discarding of bio-based polymers must be carefully strategized. In this sense, the combination of proper valorisation techniques, i.e. material, energetic and/or biological at the most appropriate stage should be targeted. Thus, the consideration of the end-of-life of a material for a specific application, instead of the end-of-life of a material should be the fundamental focus. This review covers the key aspects of lab-scale techniques to infer the potential of performance and valorisation of polymers from renewable resources as a key gear for sustainability.

show abstract

Section: Tests To Approach the Pyrolysis And Combustion Of Bioplasticsmentioning

confidence: 99%

Long-term properties and end-of-life of polymers from renewable resources

Badía

Cháfer

Ribes‐Greus

2017

Polymer Degradation and Stability

100

View full text Add to dashboard Cite

show abstract

“…Two-dimensional correlation spectroscopy (2D-COS) has emerged since its earlier introduction in 1989 1 into an invaluable analysis tool for spectroscopic characterization in various fields of application, including protein science, pharmacy, biomedical applications, and polymer or nanomaterial research. 2,3 The 2D-COS analysis technique was developed to study dynamic processes in which a spectroscopic probe is applied to monitor the effect of an external perturbation on a given system. The system responds to the perturbation through characteristic changes that are monitored spectroscopically, for example through continuous acquisition of a spectral time series.…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra

2019

Self Cite

View full text Add to dashboard Cite

The last two decades have seen tremendous progress in the application of two-dimensional correlation spectroscopy (2D-COS) as a versatile analysis method for data series obtained using a large variety of different spectroscopic modalities, including infrared (IR) and Raman spectroscopy. The analysis technique is applicable to a series of spectra recorded under the influence of an external sample perturbation. Two-dimensional COS analysis is not only helpful to decipher correlations, which may exist between distinct spectral features, but can also be utilized to obtain the sequence of individual spectral changes. The focus of this review article is on the application of 2D-COS for analyzing spatially resolved data with special emphasis on hyperspectral imaging (HSI) study. In this review, we briefly introduce the fundamentals of the generalized 2D-COS analysis approach, discuss specific points of 2D-COS application to spatially resolved spectra and demonstrate essential aspects of data pre-processing for 2D-COS analysis of spatially resolved spectra. Based on illustrative examples, we show that 2D-COS is useful for spectral band assignment in HSI applications and demonstrate its utility for detecting subtle correlations between spectra features, or between features from different imaging modalities in the case of heterospectral (multimodal) HSI. Furthermore, a short overview on existing 2D-COS software tools is provided. It is hoped that this article represents not only a useful guideline for 2D-COS analyses of spatially resolved hyperspectral data but supports also further dissemination of the 2D-COS analysis method as a whole.

show abstract

“…In this context IR, Raman, NMR and UV/Vis spectroscopy as well as mass spectrometry have been used to study polymers, reaction solutions and pharmaceuticals under the influence of temperature, time and electro-magnetic radiation. For good reviews on spectroscopic methods, samples and perturbations used in 2D correlation spectroscopy the reader is referred to Noda (2014a,b) and Park, Noda, and Jung (2016).…”

Section: Introduction To 2d Correlation Spectroscopymentioning

confidence: 99%

corr2D: Implementation of Two-Dimensional Correlation Analysis in R

Geitner¹,

Fritzsch²,

Popp³

et al. 2019

J. Stat. Soft.

View full text Add to dashboard Cite

In the package corr2D two-dimensional correlation analysis is implemented in R. This paper describes how two-dimensional correlation analysis is done in the package and how the mathematical equations are translated into R code. The paper features a simple tutorial with executable code for beginners, insight into the calculations done before the correlation analysis, a detailed look at the parallelization of the fast Fourier transformation based correlation analysis and a speed test of the calculation. The package corr2D offers the possibility to preprocess, correlate and postprocess spectroscopic data using exclusively the R language. Thus, corr2D is a welcome addition to the toolbox of spectroscopists and makes two-dimensional correlation analysis more accessible and transparent.

show abstract

Novel developments and applications of two-dimensional correlation spectroscopy

Cited by 78 publications

References 286 publications

Long-term properties and end-of-life of polymers from renewable resources

Long-term properties and end-of-life of polymers from renewable resources

Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra

corr2D: Implementation of Two-Dimensional Correlation Analysis in R

Contact Info

Product

Resources

About