{"title":"Analysis of Bijel Formation Dynamics During Solvent Transfer-Induced Phase Separation Using Phase-Field Simulations","authors":"Jesse M. Steenhoff, Martin Haase","doi":"10.1039/d4cp04638b","DOIUrl":null,"url":null,"abstract":"Solvent transfer induced phase separation (STrIPS) is a versatile and scalable method for the fabrication of bicontinuous interfacially jammed emulsion gels (bijels), a soft material with ample potential in membrane separation and energy storage. STrIPS, however, does not facilitate in-situ observation of bijel formation, rendering it difficult to relate the phase separation process to the resulting bijel morphology. To address this issue, a phase-field (PF) model is presented that captures the principle components of STrIPS through relatively simple methods. Comparison with experimental results demonstrates that the PF model accurately describes STrIPS, reproducing morphological trends in a complex experimental system. Simultaneously, the model provides insight into the origin of such morphological features, relating the formation of the bijel structure in STrIPS to relatively slow dynamics of phase separation compared to solvent diffusion. Visualizing phase separation during the entire STrIPS process, the PF model can therefore help elucidate the formation mechanisms underlying current STrIPS bijel morphologies, in addition to aiding the fabrication of novel ones.","PeriodicalId":99,"journal":{"name":"Physical Chemistry Chemical Physics","volume":"31 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Chemistry Chemical Physics","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d4cp04638b","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Solvent transfer induced phase separation (STrIPS) is a versatile and scalable method for the fabrication of bicontinuous interfacially jammed emulsion gels (bijels), a soft material with ample potential in membrane separation and energy storage. STrIPS, however, does not facilitate in-situ observation of bijel formation, rendering it difficult to relate the phase separation process to the resulting bijel morphology. To address this issue, a phase-field (PF) model is presented that captures the principle components of STrIPS through relatively simple methods. Comparison with experimental results demonstrates that the PF model accurately describes STrIPS, reproducing morphological trends in a complex experimental system. Simultaneously, the model provides insight into the origin of such morphological features, relating the formation of the bijel structure in STrIPS to relatively slow dynamics of phase separation compared to solvent diffusion. Visualizing phase separation during the entire STrIPS process, the PF model can therefore help elucidate the formation mechanisms underlying current STrIPS bijel morphologies, in addition to aiding the fabrication of novel ones.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.