Magnaghi Lisa Rita, Trigueros Esther, Biesuz Raffaela
Università degli Studi di Pavia, Dipartimento di Chimica, Viale Taramelli 12, Pavia 27100, Italy.
INSTM, Unità di Ricerca di Pavia, Via G. Giusti 9, Firenze 50121, Italy.
ACS Appl Bio Mater. 2025 May 19;8(5):3691-3696. doi: 10.1021/acsabm.5c00510. Epub 2025 May 7.
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.
一种综合统计方法显著提高了淀粉/甘油/羧甲基纤维素生物膜亲水性重量评估的可靠性。本研究表明,评估亲水性相关特性的传统方法受到实验条件不一致和统计设计不足的限制。通过在伪组分域内系统地改变薄膜组成,并应用方差分析、混合设计和主成分分析,我们证明与组成相关的效应远远超过方法本身的变异性。结果强调了各组分对亲水行为的影响,在整个实验域提供了稳健且具有预测性的模型。这种以结果为导向的方法提供了一个优化配方的合理框架,确保对亲水性进行可重复且有意义的评估。