Multifunctional reinforcement of bio-based water-borne wood coatings via chitosan/calcium bentonite/linseed oil hybrid system: A response surface optimization approach

This study aimed to optimize water-borne wood coating formulations using chitosan, calcium bentonite, and linseed oil as bio-based additives. Eighteen experimental runs were designed using Box–Behnken Design (BBD) and Response Surface Methodology (RSM) via Design-Expert, with each additive evaluated at three concentration levels of 0%, 1%, and 2%. The quadratic RSM model for coating thickness showed a high coefficient of determination (R2 = 0.9584), with an adjusted R2 of 0.9050, an F-value of 17.93, and a model p-value of 0.0005, indicating statistically significant model performance. The optimized formulation, identified as Run 7 and containing 1 wt.% of each additive, was comprehensively characterized in terms of coating thickness, color, gloss, adhesion (ASTM D3359), pencil hardness (ASTM D3363-22), water absorption, contact angle, FT-IR, and DSC analyses. The optimized formulation exhibited improved adhesion resistance and a low water absorption value of 10.7% compared with the reference coating. FT-IR analysis confirmed the incorporation of the additives into the coating matrix, while DSC analysis showed that the optimized formulation exhibited a higher glass transition temperature (187 °C) than the reference coating (182 °C). Overall, the results showed that the incorporation of bio-based additives such as chitosan, calcium bentonite, and linseed oil can improve selected performance characteristics of bio-based coatings.

Authors

Institutions

Publication Details

Journal
Journal of Wood Chemistry and Technology
Published
2026-10-29
DOI
https://doi.org/10.1080/02773813.2026.2752917
Primary Topic
Wood Treatment and Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multifunctional reinforcement of bio-based water-borne wood coatings via chitosan/calcium bentonite/linseed oil hybrid system: A response surface optimization approach

Nil Acaralı, Sude İskurt
3 links
Journal of Wood Chemistry and Technology
Wood Treatment and Properties
article

Multifunctional reinforcement of bio-based water-borne wood coatings via chitosan/calcium bentonite/linseed oil hybrid system: A response surface optimization approach

Nil Acaralı, Sude İskurt
article en

Abstract

This study aimed to optimize water-borne wood coating formulations using chitosan, calcium bentonite, and linseed oil as bio-based additives. Eighteen experimental runs were designed using Box–Behnken Design (BBD) and Response Surface Methodology (RSM) via Design-Expert, with each additive evaluated at three concentration levels of 0%, 1%, and 2%. The quadratic RSM model for coating thickness showed a high coefficient of determination (R2 = 0.9584), with an adjusted R2 of 0.9050, an F-value of 17.93, and a model p-value of 0.0005, indicating statistically significant model performance. The optimized formulation, identified as Run 7 and containing 1 wt.% of each additive, was comprehensively characterized in terms of coating thickness, color, gloss, adhesion (ASTM D3359), pencil hardness (ASTM D3363-22), water absorption, contact angle, FT-IR, and DSC analyses. The optimized formulation exhibited improved adhesion resistance and a low water absorption value of 10.7% compared with the reference coating. FT-IR analysis confirmed the incorporation of the additives into the coating matrix, while DSC analysis showed that the optimized formulation exhibited a higher glass transition temperature (187 °C) than the reference coating (182 °C). Overall, the results showed that the incorporation of bio-based additives such as chitosan, calcium bentonite, and linseed oil can improve selected performance characteristics of bio-based coatings.

Journal of Wood Chemistry and Technology
Yıldız Technical University (TR)
Openalex Percentile: Top 16%
Wood Treatment and Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon