Evidence map›Paper›PMID 42373558›Full record

ArticleACS applied materials & interfaces2026

Adsorption of Cationic Lignin Derivatives on Negatively Charged Model Surfaces and Hair Fibers: Implications for Hair Conditioning Performance.

Catarina Fernandes, Daniela Cabaça, Eduardo Guzmán, Ricardo Serra, Alireza Eivazi, Magnus Norgren, Luís Alves, Bruno Medronho, Maria da Graça Rasteiro, Carla Varela

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Catarina FernandesUniversity of Coimbra, CERES, Department of Chemical Engineering, Pólo II - R. Silvio Lima, 3030-790 Coimbra, Portugal.ORCID 0000-0001-7763-4122
Daniela CabaçaUniversity of Coimbra, CERES, Department of Chemical Engineering, Pólo II - R. Silvio Lima, 3030-790 Coimbra, Portugal.
Eduardo GuzmánComplutense University of Madrid, Department of Physico Chemistry-Plaza de Las Ciencias s/n, 28040 Madrid, Spain.ORCID 0000-0002-4682-2734
Ricardo SerraCEMMPRE Mechanical Engineering Department, University of Coimbra, 3030-788 Coimbra, Portugal.ORCID 0000-0002-9138-4243
Alireza EivaziSurface and Colloid Engineering, FSCN Research Center, Mid Sweden University, SE-851 70 Sundsvall, Sweden.ORCID 0000-0001-6270-2970
Magnus NorgrenSurface and Colloid Engineering, FSCN Research Center, Mid Sweden University, SE-851 70 Sundsvall, Sweden.ORCID 0000-0003-3407-7973
Luís AlvesUniversity of Coimbra, CERES, Department of Chemical Engineering, Pólo II - R. Silvio Lima, 3030-790 Coimbra, Portugal.ORCID 0000-0003-4447-5107
Bruno MedronhoMED Mediterranean Institute for Agriculture, Environment and Development &CHANGE Global Change and Sustainability Institute, Universidade do Algarve, Faculdade de Ciências e Tecnologia, Campus de Gambelas, Ed.8, 8005-139 Faro, Portugal.ORCID 0000-0003-0972-1739
Maria da Graça RasteiroUniversity of Coimbra, CERES, Department of Chemical Engineering, Pólo II - R. Silvio Lima, 3030-790 Coimbra, Portugal.ORCID 0000-0001-6084-4553
Carla VarelaUniversity of Coimbra, CERES, Department of Chemical Engineering, Pólo II - R. Silvio Lima, 3030-790 Coimbra, Portugal.

Funding

COMPUTER AIDED ANALYSIS OF ELECTROCARDIOGRAPHYZ01CT000002 · CIT · COMPUTER RESEARCH AND TECHNOLOGY · PI BAILEY, JAMES J. · 1985 to 2003
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Intramural NIH HHS Z01 CT000002
6 · The paper itself

Abstract

The application of cosmetic ingredients into hair formulations relies on their extensive characterization and on understanding their mechanisms of action. Specifically, in the case of hair conditioning agents, their efficiency in treating hair must be proved before testing them on real complex formulations. In this work, we investigate the deposition of three cationic polymers onto model surfaces that mimic the negative surface potential of highly damaged hair. Two CHPTAC-cationized lignins (CL0.34 and CL0.61) were evaluated and compared with a commercial polyquaternium (PQ11). The two selected lignin derivatives exhibited different degrees of cationic substitution (DS) and ζ-potential (CL0.34: DS = 0.34 ± 0.01 and ζ-potential = 12.8 ± 0.4 mV; CL0.61: DS = 0.61 ± 0.03 and ζ-potential = 18.8 ± 0.3 mV). Atomic force microscopy (AFM) and quartz crystal microbalance with dissipation monitoring (QCM-D) were used to evaluate the adsorbed layers formed by the polymers and their mechanical properties. Among the tested lignin conditioning agents, CL0.61 exhibited conditioning behavior, forming layers whose properties closely resembled those of the benchmark polymer PQ11. CL0.61 and PQ11 were both efficient at reducing the frizz effect on real bleached hair, effectively overcompensating the hair surface potential, which shifted from negative to positive values, confirming their effective adsorption after conditioning and rinsing. By combining advanced interfacial characterization with structure-property-function relationships, this work provides fundamental insights into polymer adsorption and performance at biointerfaces, supporting the rational design of functional materials and highlighting the potential of cationic lignin derivatives as viable, biobased conditioning agents for future hair-care formulations.

Indexed as

HairHair PreparationsLigninAdsorptionCationsHumansMicroscopy, Atomic ForcePolymersQuartz Crystal Microbalance TechniquesSurface PropertiesCationsHair PreparationsLigninPolymersbiobased polymerscosmetic ingredientshair carelignin valorizationpolymer adsorptionpolyquaterniumsurface charge

Identifiers

PMID42373558
PMCPMC13397484

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.