Design and Statistical Optimization of <scp>PLA</scp> Organoclay‐Based Dispersions for Recyclable Packaging Paper

ABSTRACT Performance and recyclability of paper coatings depend on precise control of polymer, surfactant, filler compositions as well as oil to water ratios to produce stable dispersions and defect‐free films. These factors determine fiber polymer interactions and coating removability during repulping, which are critical for efficient fiber recovery and recyclable packaging. This study examines PLA organoclay aqueous dispersions stabilized by sodium dodecyl sulfate (SDS), emphasizing particle size, zeta potential, and solids content. Using a full factorial design (2 4 ) and stepwise regression, predictive equations have been established to identify the dominant formulation factors and illustrate their combined effects through response surface modeling. The most promising formulation within the tested range (PLA 10.65 wt%, SDS 0.10 wt%, organoclay 3 wt%, oil‐to‐water ratio 1.4) was selected from the JMP Profiler using a multi‐criteria optimization, simultaneously maximizing solids content while maintaining submicronic particle size. This formulation yielded ~13% solids, kinetically stable dispersions, and defect‐free coatings. Under laboratory‐scale settings, repulpability tests revealed effective disintegration (94.7% ± 1.5% fiber recovery) without foaming. Overall, this study proposes a formulation‐driven optimization technique for producing recyclable, bio‐based PLA‐organoclay coatings for recyclable paper packaging, guided by a design of experiments strategy.

Authors

Institutions

Publication Details

Journal
Polymer Engineering and Science
Published
2026-03-28
DOI
https://doi.org/10.1002/pen.70499
Primary Topic
Advanced Cellulose Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Statistical Optimization of PLA Organoclay‐Based Dispersions for Recyclable Packaging Paper

Balázs Tolnai, Simon Barnabé, Mostafa Eesaee, Guy Njamen et al.
Polymer Engineering and Science
Advanced Cellulose Research Studies
article

Design and Statistical Optimization of PLA Organoclay‐Based Dispersions for Recyclable Packaging Paper

Balázs Tolnai, Simon Barnabé, Mostafa Eesaee, Guy Njamen, Bruno Chabot, Julien Bley, Abdenour Chenni, Phuong Nguyen‐Tri
article en

Abstract

ABSTRACT Performance and recyclability of paper coatings depend on precise control of polymer, surfactant, filler compositions as well as oil to water ratios to produce stable dispersions and defect‐free films. These factors determine fiber polymer interactions and coating removability during repulping, which are critical for efficient fiber recovery and recyclable packaging. This study examines PLA organoclay aqueous dispersions stabilized by sodium dodecyl sulfate (SDS), emphasizing particle size, zeta potential, and solids content. Using a full factorial design (2 4 ) and stepwise regression, predictive equations have been established to identify the dominant formulation factors and illustrate their combined effects through response surface modeling. The most promising formulation within the tested range (PLA 10.65 wt%, SDS 0.10 wt%, organoclay 3 wt%, oil‐to‐water ratio 1.4) was selected from the JMP Profiler using a multi‐criteria optimization, simultaneously maximizing solids content while maintaining submicronic particle size. This formulation yielded ~13% solids, kinetically stable dispersions, and defect‐free coatings. Under laboratory‐scale settings, repulpability tests revealed effective disintegration (94.7% ± 1.5% fiber recovery) without foaming. Overall, this study proposes a formulation‐driven optimization technique for producing recyclable, bio‐based PLA‐organoclay coatings for recyclable paper packaging, guided by a design of experiments strategy.

Polymer Engineering and Science
Kruger (Canada) (CA), Université du Québec à Trois-Rivières (CA)
Clean water and sanitation
Openalex Percentile: Top 5%
Advanced Cellulose Research Studies
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.