{"title":"Osmotic Pressure-Based Quantification of Network Inhomogeneity in Gels via Free Radical Polymerization","authors":"Ruka Ito, Naoyuki Sakumichi, Tsukuru Masuda, Takamasa Sakai","doi":"10.1021/acs.macromol.5c00554","DOIUrl":null,"url":null,"abstract":"Polymer gels synthesized via free radical polymerization inherently exhibit pronounced network inhomogeneity due to spatially nonuniform cross-linking distributions. While conventional light scattering techniques have been widely used to characterize these inhomogeneities, they lack quantitative reliability, particularly in turbid samples, where multiple scattering complicates analysis. Here, we present a novel macroscopic approach based on osmotic pressure measurements that enables the direct quantification of network inhomogeneity in polymer gels. By comparing the measured osmotic pressure of gels with that predicted for homogeneous semidilute polymer solutions, we quantify the fraction of insoluble polymer domains that contribute negligibly to the overall osmotic pressure. Using poly(<i>N,N</i>-dimethylacrylamide) (PDMAAm) hydrogels as a model system, we find a scaling law that predicts the fraction of insoluble polymer domains as a function of monomer and cross-linker concentrations. This scaling law provides a practical guideline for controlling network inhomogeneity. Our approach establishes a general framework for quantifying insoluble components in gels, overcoming the limitations of conventional semiquantitative characterization techniques.","PeriodicalId":51,"journal":{"name":"Macromolecules","volume":"34 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macromolecules","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.macromol.5c00554","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Polymer gels synthesized via free radical polymerization inherently exhibit pronounced network inhomogeneity due to spatially nonuniform cross-linking distributions. While conventional light scattering techniques have been widely used to characterize these inhomogeneities, they lack quantitative reliability, particularly in turbid samples, where multiple scattering complicates analysis. Here, we present a novel macroscopic approach based on osmotic pressure measurements that enables the direct quantification of network inhomogeneity in polymer gels. By comparing the measured osmotic pressure of gels with that predicted for homogeneous semidilute polymer solutions, we quantify the fraction of insoluble polymer domains that contribute negligibly to the overall osmotic pressure. Using poly(N,N-dimethylacrylamide) (PDMAAm) hydrogels as a model system, we find a scaling law that predicts the fraction of insoluble polymer domains as a function of monomer and cross-linker concentrations. This scaling law provides a practical guideline for controlling network inhomogeneity. Our approach establishes a general framework for quantifying insoluble components in gels, overcoming the limitations of conventional semiquantitative characterization techniques.
期刊介绍:
Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.