Comprehensive Morphology of ABS Latex Particles Revealed through Mathematical Modeling

The structured grafted acrylonitrile–butadiene–styrene (ABS) polymer particles are used as impact modifiers in ABS materials. The density of the styrene–acrylonitrile (SAN) copolymer grafted onto the poly(butadiene) (PB) chains is a crucial characteristic of these particles. It directly influences particle morphology and determines the dispersion efficiency and compatibility of ABS particles in the SAN matrix. The detailed characterization of the morphology of the ABS particles will open the possibility to tune the final properties of the ABS materials. This study presents the development of a mathematical model for the dynamic formation of polymer–polymer structured latex particles guided by the forces determining particle morphology. Detailed information on the distribution of SAN clusters both within the PBD matrix (internal) and on its surface (external) as well as the partial diffusion of the external clusters was obtained. The model was assessed using detailed experimental ABS latex particle morphology characterization using high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) tomography on selectively stained latex samples followed by three-dimensional (3D) image reconstruction. The model well predicts the detailed morphology of ABS particles, including the size distribution of internal and surface clusters and the level of partial penetration of the surface SAN clusters revealed through HAADF-STEM tomography.

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-08-14
DOI
https://doi.org/10.1021/acs.iecr.5c02196
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive Morphology of ABS Latex Particles Revealed through Mathematical Modeling

1 citations
Industrial & Engineering Chemistry Research
Geochemistry and Geologic Mapping
2.48
article

Comprehensive Morphology of ABS Latex Particles Revealed through Mathematical Modeling

article en
1 citations

Abstract

The structured grafted acrylonitrile–butadiene–styrene (ABS) polymer particles are used as impact modifiers in ABS materials. The density of the styrene–acrylonitrile (SAN) copolymer grafted onto the poly(butadiene) (PB) chains is a crucial characteristic of these particles. It directly influences particle morphology and determines the dispersion efficiency and compatibility of ABS particles in the SAN matrix. The detailed characterization of the morphology of the ABS particles will open the possibility to tune the final properties of the ABS materials. This study presents the development of a mathematical model for the dynamic formation of polymer–polymer structured latex particles guided by the forces determining particle morphology. Detailed information on the distribution of SAN clusters both within the PBD matrix (internal) and on its surface (external) as well as the partial diffusion of the external clusters was obtained. The model was assessed using detailed experimental ABS latex particle morphology characterization using high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) tomography on selectively stained latex samples followed by three-dimensional (3D) image reconstruction. The model well predicts the detailed morphology of ABS particles, including the size distribution of internal and surface clusters and the level of partial penetration of the surface SAN clusters revealed through HAADF-STEM tomography.

Industrial & Engineering Chemistry ResearchVol. 64(34)
Ikerbasque (ES), University of the Basque Country (ES), CIC nanoGUNE (ES)
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
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.