A Statistical Approach toward Biofilms Hydrophilicity Characterization: Integrating ANOVA, DOE, and PCA for Starch/Glycerol/CMC Films Case Study DOI Creative Commons
Lisa Rita Magnaghi, Esther Trigueros, Raffaela Biesuz

et al.

ACS Applied Bio Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

A combined statistical approach significantly improves the reliability of gravimetric assessments hydrophilicity in starch/glycerol/carboxymethylcellulose biofilms. This study reveals that traditional methods for evaluating hydrophilicity-related properties are limited by inconsistent experimental conditions and inadequate design. By systematically varying film composition within a pseudocomponent domain applying ANOVA, Mixture Design, Principal Components Analysis, we demonstrate composition-related effects far exceed intrinsic method variability. The results underscore influence components on hydrophilic behavior, offering robust predictive models across domain. findings-oriented provides rational framework to optimize formulations, ensuring reproducible meaningful hydrophilicity.

Language: Английский

A Statistical Approach toward Biofilms Hydrophilicity Characterization: Integrating ANOVA, DOE, and PCA for Starch/Glycerol/CMC Films Case Study DOI Creative Commons
Lisa Rita Magnaghi, Esther Trigueros, Raffaela Biesuz

et al.

ACS Applied Bio Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

A combined statistical approach significantly improves the reliability of gravimetric assessments hydrophilicity in starch/glycerol/carboxymethylcellulose biofilms. This study reveals that traditional methods for evaluating hydrophilicity-related properties are limited by inconsistent experimental conditions and inadequate design. By systematically varying film composition within a pseudocomponent domain applying ANOVA, Mixture Design, Principal Components Analysis, we demonstrate composition-related effects far exceed intrinsic method variability. The results underscore influence components on hydrophilic behavior, offering robust predictive models across domain. findings-oriented provides rational framework to optimize formulations, ensuring reproducible meaningful hydrophilicity.

Language: Английский

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