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Analysis of Organic Materials by NMR and Its Sample Pretreatment and Data Interpretation

【Free trial available・Specialized books】★ Tips for obtaining clear spectra! Techniques for analyzing complex mixtures and trace components!

★ Points for interpreting the relationship between structure, physical properties, and spectra! A new analytical method using machine learning! ーーーーーーーーーーーーーーーーーーーーーーーー ■ Key points of this book ● Sample pretreatment and measurement condition setting ・Removal of impurities and insolubles, extraction and concentration of target substances from mixtures, uniformity of sample concentration ・Peak position shifts due to derivatization, high-sensitivity analysis of trace components ・Adjustment of NMR resolution, optimization of tuning ・Adjustment of flip angle, waiting time, decoupling conditions, and CP conditions in solid-state NMR ・Improvement of S/N ratio through function processing ● Application examples ・Molecular structure evaluation of polymer materials ・Network structure analysis of rubber materials ・Structural analysis of polymer alloys ・Structural analysis of trace graft monomers ・Analysis of intermolecular interactions in composite materials ・Evaluation of crosslink density in resins and rubber materials ・Analysis of molecular mobility in polymers ・Analysis of reaction processes in polymer materials ・Quantification of degradation in polymer materials ・Reaction analysis of fillers/silane coupling agents ・Visualization of the dispersion state of fine particles in concentrated slurries ・Analysis of interactions between binders and pigments in paints ・Observation of the curing process of adhesives ・Analysis of the three-dimensional structure and motion characteristics of proteins

"Analysis of Organic Materials by NMR and Its Sample Pretreatment, Data Interpretation" Book Technical Information Association Site

basic information

■Table of Contents Chapter 1: Setting Conditions for NMR, Sample Preparation, and Spectrum Interpretation Chapter 2: New NMR Measurement Methods and Efficiency Improvement of Analysis Using Machine Learning Chapter 3: NMR Analysis of Polymers and Composite Materials and Examples of Data Interpretation Chapter 4: NMR Analysis of Rubber and Examples of Data Interpretation Chapter 5: NMR Analysis of Dispersion Products and Examples of Data Interpretation Chapter 6: NMR Analysis of Biomacromolecules and Examples of Data Interpretation Chapter 7: NMR Analysis of Other Organic Compounds and Examples of Data Interpretation ●Publication Date: September 30, 2021 ●Format: A4, 676 pages ●Authors: 59 ●ISBN: 978-4-86104-860-9 *For more details, please refer to the brochure available for download from "Download Catalog."

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P2

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P2

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2125 NMR

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