Evidence map›Paper›PMID 40336161›Full record

ArticleACS applied bio materials2025

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

Lisa Rita Magnaghi, Esther Trigueros, Raffaela Biesuz

Abstract read
In one paragraph

Article in ACS applied bio materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lisa Rita MagnaghiUniversità degli Studi di Pavia, Dipartimento di Chimica, Viale Taramelli 12, Pavia 27100, Italy.ORCID 0000-0002-4484-4788
Esther TriguerosUniversità degli Studi di Pavia, Dipartimento di Chimica, Viale Taramelli 12, Pavia 27100, Italy.ORCID 0000-0003-1701-0523
Raffaela BiesuzUniversità degli Studi di Pavia, Dipartimento di Chimica, Viale Taramelli 12, Pavia 27100, Italy.ORCID 0000-0002-2192-5032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biocompatible MaterialsBiofilmsCarboxymethylcellulose SodiumGlycerolStarchAnalysis of VarianceHydrophobic and Hydrophilic InteractionsMaterials TestingPrincipal Component AnalysisBiocompatible MaterialsCarboxymethylcellulose SodiumGlycerolStarchAnalysis of VarianceBioplasticsChemometricsDesign of ExperimentsHydrophilicityMoisturePrincipal Components AnalysisSolubility

Identifiers

PMID40336161
PMCPMC12093360

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.