Multivariate Analysis Applied to Microwave-Driven Cyanide Polymerization: A Statistical View of a Complex System
Abstract
:1. Introduction
2. Materials and Methods
2.1. Synthesis of the NH4CN Polymers
2.2. Instrumental Analysis
2.3. Statistical Analysis
3. Results
3.1. CATPCA and PCA to Study Cyanide Polymerization Assisted by MWR Tracking by Means of Gel Fractions
3.1.1. Conversion Limit, Chemical Composition and Data from FTIR Spectroscopy
3.1.2. PCA of the FTIR Spectra for the Cyanide Polymers
3.1.3. PCA for the Thermal Analysis Data from the Gel Fractions
3.2. PCA for UV-Vis Spectra of the Sol Fractions
4. Concluding Remarks and Outlooks
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Pérez-Fernández, C.; González-Toril, E.; Mateo-Martí, E.; Ruiz-Bermejo, M. Multivariate Analysis Applied to Microwave-Driven Cyanide Polymerization: A Statistical View of a Complex System. Polymers 2023, 15, 410. https://doi.org/10.3390/polym15020410
Pérez-Fernández C, González-Toril E, Mateo-Martí E, Ruiz-Bermejo M. Multivariate Analysis Applied to Microwave-Driven Cyanide Polymerization: A Statistical View of a Complex System. Polymers. 2023; 15(2):410. https://doi.org/10.3390/polym15020410
Chicago/Turabian StylePérez-Fernández, Cristina, Elena González-Toril, Eva Mateo-Martí, and Marta Ruiz-Bermejo. 2023. "Multivariate Analysis Applied to Microwave-Driven Cyanide Polymerization: A Statistical View of a Complex System" Polymers 15, no. 2: 410. https://doi.org/10.3390/polym15020410