A Statistical Approach toward Biofilms Hydrophilicity Characterization: Integrating ANOVA, DOE, and PCA for Starch/Glycerol/CMC Films Case Study

A combined statistical approach significantly improves the reliability of gravimetric assessments of 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 statistical design. By systematically varying film composition within a pseudocomponent domain and applying ANOVA, Mixture Design, and Principal Components Analysis, we demonstrate that composition-related effects far exceed intrinsic method variability. The results underscore the influence of components on hydrophilic behavior, offering robust and predictive models across the experimental domain. This findings-oriented approach provides a rational framework to optimize formulations, ensuring reproducible and meaningful assessments of the hydrophilicity.

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Institutions

Publication Details

Journal
ACS Applied Bio Materials
Published
2025-05-07
DOI
https://doi.org/10.1021/acsabm.5c00510
Citations
4
Primary Topic
Nanocomposite Films for Food Packaging
Type
article
Field-Weighted Citation Impact
2.39

Funders

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article

A Statistical Approach toward Biofilms Hydrophilicity Characterization: Integrating ANOVA, DOE, and PCA for Starch/Glycerol/CMC Films Case Study

Esther Trigueros, Raffaela Biesuz, Lisa Rita Magnaghi
4 citations
ACS Applied Bio Materials
Nanocomposite Films for Food Packaging
2.39
article

A Statistical Approach toward Biofilms Hydrophilicity Characterization: Integrating ANOVA, DOE, and PCA for Starch/Glycerol/CMC Films Case Study

Esther Trigueros, Raffaela Biesuz, Lisa Rita Magnaghi
article en
4 citations

Abstract

A combined statistical approach significantly improves the reliability of gravimetric assessments of 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 statistical design. By systematically varying film composition within a pseudocomponent domain and applying ANOVA, Mixture Design, and Principal Components Analysis, we demonstrate that composition-related effects far exceed intrinsic method variability. The results underscore the influence of components on hydrophilic behavior, offering robust and predictive models across the experimental domain. This findings-oriented approach provides a rational framework to optimize formulations, ensuring reproducible and meaningful assessments of the hydrophilicity.

ACS Applied Bio MaterialsVol. 8(5)
University of Pavia (IT), National Interuniversity Consortium of Materials Science and Technology (IT)
Ministero dell'Università e della Ricerca
Openalex Percentile: Top 12%
Nanocomposite Films for Food Packaging
2.39
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