Two-Dimensional Correlation Spectroscopy

Czarnecki, Mirosław A.; Morita, Shigeaki

doi:10.1007/978-981-15-8648-4_6

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…[28] The transesterification reaction was investigated by Temperature-dependent FTIR spectra in combination of a newly developed perturbation-correlation moving-window (PCMW2D) technique, which has been proved to be a powerful tool to investigate the molecular interactions. [29,30] The characteristic peak at 1316 and 1183 cm -1 is attributed to the asymmetric stretching vibration of B-O groups and the in-plane bending vibration of B-OH groups, respectively (Figure S12, Supporting Information). [31] These two peaks both display a red-shift feature accompanied by a gradual decrease in spectral intensity upon heating from 25 to 120 °C, indicating the dissociation of the boronic ester bonds.…”

Section: Characterization and Simulation Of Dynamic Bondingmentioning

confidence: 99%

Strong, Healable, Stimulus‐Responsive Fluorescent Elastomers Based on Assembled Borate Dynamic Nanostructures

Qiu

Cui

Guo

et al. 2022

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Self‐healing materials integrated with robust mechanical property and fascinating functions synchronously hold great prospects in many applications, but it still remains a grand challenge. Here, a bottom‐up assembly method of preparing borate dynamic nanostructures (BDN) with controllable morphologies and interfacial crosslinks is proposed, from which a robust self‐healing elastomer is fabricated. The BDN is optimized to construct dense and strong interfacial boronic easter crosslinks, endowing the elastomer with outstanding stretchability (2050%), high strength (17.9 MPa) as well as healing efficiency (77.1%). Moreover, the elastomer also exhibits pH stimulus‐responsive fluorescence property and excellent functional repairability, enabling its potential application in intelligent material fields such as information encoding and encryption. This study demonstrates a general approach to produce self‐healable functional materials with robust mechanical properties, and defines a rich platform for exploring various functional nanostructured materials.

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Section: Characterization and Simulation Of Dynamic Bondingmentioning

confidence: 99%

Strong, Healable, Stimulus‐Responsive Fluorescent Elastomers Based on Assembled Borate Dynamic Nanostructures

Qiu

Cui

Guo

et al. 2022

Small

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“…The 2D correlation spectrum can be divided into synchronous correlation spectrum and asynchronous correlation spectrum. 34 By taking component content as a perturbation, 2D synchronous correlation spectral analysis is carried out to obtain characteristic peaks required for modeling.…”

Section: Establishment Of Component Content Prediction Modelmentioning

confidence: 99%

A Component Content Measurement Method Modified Using Indirect Hard Modeling for Polymer Blends Based on Raman Spectroscopy

et al. 2022

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Raman spectroscopy has been proven to be useful for the component content measurement of polymer blends. However, the soft modeling methods commonly used in quantitative analysis of Raman spectroscopy require a large number of training samples, resulting in a waste of materials and time. This work adopted a modified indirect hard modeling (IHM) method to measure the component content of polymer blends based on Raman spectroscopy. The Raman spectra of polypropylene (PP) / polystyrene (PS) blends with different component content were collected and resolved into the sum of multiple Voigt peak functions. For a large number of peak parameters, the two-dimensional (2D) correlation spectroscopy was used to screen out the characteristic Voigt peaks highly correlated with component content to reduce the parameter dimensions and build the parameterized spectral models. The spectral model of the blend was expressed as the weighted sum of the pure component spectral models, during which the parameters of the pure component models were adjusted within a range. According to the relationship between the weight and content of the pure component, a linear regression model for component content prediction was established. The coefficient of determination (R<sup>2</sup>) / root mean squared error (RMSE) of the IHM component content prediction model was 0.9931/0.4367 wt%. Besides, two popular soft modeling methods, partial least squares (PLS) and artificial neural network (ANN), were compared with the IHM method, which showed that the IHM model had higher prediction accuracy with fewer training samples.

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“…Mirosław A Czarnecki and Shigeaki Morita familiarize the reader with two-dimensional (2D) correlations spectroscopy. 7 This powerful tool is particularly potent when applied to complex and difficult in direct interpretation NIR spectra, as it elucidates correlations between the peaks in a selective way and yields resolution enhancement. This technique gives access to useful information on the dynamics of spectral changes and enables more reliable band assignments, offering unique capabilities in NIR spectroscopy.…”

Section: Overview Of the Book’s Contentmentioning

confidence: 99%

The comprehensive sourcebook for modern NIR spectroscopy: A commentary on “Near-Infrared Spectroscopy Theory, Spectral Analysis, Instrumentation, and Applications”

Beć¹,

Grabska²,

Huck³

2021

NIR news

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The instrumentation, methods and applications of near-infrared spectroscopy has advanced remarkably in the last decade, in which near-infrared spectroscopy has successfully progressed at multiple directions and faced new challenges. Thus, gaps inevitably appeared in the coverage provided by renowned and handy cornerstone textbooks focused on near-infrared spectroscopy that were published in the past. A demand grew in near-infrared spectroscopy community for a new state-of-the-art textbook. With aim to satisfy such need, a go-to-book for background theory, applications and tutorial “Near-Infrared Spectroscopy Theory, Spectral Analysis, Instrumentation, and Applications” was prepared. That full-scale project, edited by Yukihiro Ozaki, Christian Huck, Satoru Tsuchikawa and Søren B. Engelsen, comprises of 23 chapters contributed by scholars and practitioners pushing the frontier of near-infrared spectroscopy. The chapters scope on newly opened pathways, major breakthroughs in basic science and applications as well as revisit several other topics. The sourcebook is intended for a wide range of readers from graduate students to scientists and engineers in both academia and industry. In this article, we sketch the main features of the newly released sourcebook with aim to help the community members in deciding whether this book should find its place in their library.

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Two-Dimensional Correlation Spectroscopy

Cited by 4 publications

References 28 publications

Strong, Healable, Stimulus‐Responsive Fluorescent Elastomers Based on Assembled Borate Dynamic Nanostructures

Strong, Healable, Stimulus‐Responsive Fluorescent Elastomers Based on Assembled Borate Dynamic Nanostructures

A Component Content Measurement Method Modified Using Indirect Hard Modeling for Polymer Blends Based on Raman Spectroscopy

The comprehensive sourcebook for modern NIR spectroscopy: A commentary on “Near-Infrared Spectroscopy Theory, Spectral Analysis, Instrumentation, and Applications”

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