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Jeong H, Gu J, Mwasame P, Patankar K, Yu D, Sing CE. Modeling the competition between phase separation and polymerization under explicit polydispersity. SOFT MATTER 2024; 20:681-692. [PMID: 38164983 DOI: 10.1039/d3sm01411h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
The dynamics of phase separation for polymer blends is important in determining the final morphology and properties of polymer materials; in practical applications, this phase separation can be controlled by coupling to polymerization reaction kinetics via a process called 'polymerization-induced phase separation'. We develop a phase-field model for a polymer melt blend using a polymerizing Cahn-Hilliard (pCH) formalism to understand the fundamental processes underlying phase separation behavior of a mixture of two species independently undergoing linear step-growth polymerization. In our method, we explicitly model polydispersity in these systems to consider different molecular-weight components that will diffuse at different rates. We first show that this pCH model predicts results consistent with the Carothers predictions for step-growth polymerization kinetics, the Flory-Huggins theory of polymer mixing, and the classical predictions of spinodal decomposition in symmetric polymer blends. The model is then used to characterize (i) the competition between phase separation dynamics and polymerization kinetics, and (ii) the effect of unequal reaction rates between species. For large incompatibility between the species (i.e. high χ), our pCH model demonstrates that the strength for phase separation directly corresponds to the kinetics of phase separation. We find that increasing the reaction rate k̃, first induces faster phase separation but this trend reverses as we further increase k̃ due to the competition between molecular diffusion and polymerization. In this case, phase separation is delayed for faster polymerization rates due to the rapid accumulation of slow-moving, high molecular weight components.
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Affiliation(s)
- Hyeonmin Jeong
- Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
| | - Junsi Gu
- Dow Chemical Company, Midland, MI, 48667, USA
| | | | | | - Decai Yu
- Dow Chemical Company, Midland, MI, 48667, USA
| | - Charles E Sing
- Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
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Ahmad T, Rehman LM, Al-Nuaimi R, de Levay JPBB, Thankamony R, Mubashir M, Lai Z. Thermodynamics and kinetic analysis of membrane: Challenges and perspectives. CHEMOSPHERE 2023; 337:139430. [PMID: 37422221 DOI: 10.1016/j.chemosphere.2023.139430] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/18/2023] [Accepted: 07/04/2023] [Indexed: 07/10/2023]
Abstract
The ultimate structure of the membrane is determined using two important effects: (i) thermodynamic effect and (ii) kinetic effect. Controlling the mechanism of kinetic and thermodynamic processes in phase separation is essential for enhancing membrane performance. However, the relationship between system parameters and the ultimate membrane morphology is still largely empirical. This review focuses on the fundamental ideas behind thermally induced phase separation (TIPS) and nonsolvent-induced phase separation (NIPS) methods, including both kinetic and thermodynamic elements. The thermodynamic approach to understanding phase separation and the effect of different interaction parameters on membrane morphology has been discussed in detail. Furthermore, this review explores the capabilities and limitations of different macroscopic transport models used for the last four decades to explore the phase inversion process. The application of molecular simulations and phase field to understand phase separation has also been briefly examined. Finally, it discusses the thermodynamic approach to understanding phase separation and the consequence of different interaction parameters on membrane morphology, as well as possible directions for artificial intelligence to fill the gaps in the literature. This review aims to provide comprehensive knowledge and motivation for future modeling work for membrane fabrication via new techniques such as nonsolvent-TIPS, complex-TIPS, non-solvent assisted TIPS, combined NIPS-TIPS method, and mixed solvent phase separation.
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Affiliation(s)
- Tausif Ahmad
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
| | - Lubna M Rehman
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Reham Al-Nuaimi
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Jean-Pierre Benjamin Boross de Levay
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Roshni Thankamony
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Muhammad Mubashir
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Zhiping Lai
- Advanced Membranes and Porous Materials Centre, Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
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Ma W, Zhou Z, Ismail N, Tocci E, Figoli A, Khayet M, Matsuura T, Cui Z, Tavajohi N. Membrane formation by thermally induced phase separation: Materials, involved parameters, modeling, current efforts and future directions. J Memb Sci 2022. [DOI: 10.1016/j.memsci.2022.121303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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4
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Mohsenpour S, Leaper S, Shokri J, Alberto M, Gorgojo P. Effect of graphene oxide in the formation of polymeric asymmetric membranes via phase inversion. J Memb Sci 2022. [DOI: 10.1016/j.memsci.2021.119924] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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5
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Tang Y, Lin Y, Ford DM, Qian X, Cervellere MR, Millett PC, Wang X. A review on models and simulations of membrane formation via phase inversion processes. J Memb Sci 2021. [DOI: 10.1016/j.memsci.2021.119810] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Cervellere MR, Qian X, Ford DM, Carbrello C, Giglia S, Millett PC. Phase-field modeling of non-solvent induced phase separation (NIPS) for PES/NMP/Water with comparison to experiments. J Memb Sci 2021. [DOI: 10.1016/j.memsci.2020.118779] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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7
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A new approach to phase-field model for the phase separation dynamics in polymer membrane formation by immersion precipitation method. POLYMER 2020. [DOI: 10.1016/j.polymer.2019.122054] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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8
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Cervellere MR, Tang YH, Qian X, Ford DM, Millett PC. Mesoscopic simulations of thermally-induced phase separation in PVDF/DPC solutions. J Memb Sci 2019. [DOI: 10.1016/j.memsci.2019.02.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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9
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Evenepoel N, Wen S, Tilahun Tsehaye M, Van der Bruggen B. Potential of DMSO as greener solvent for PES ultra- and nanofiltration membrane preparation. J Appl Polym Sci 2018. [DOI: 10.1002/app.46494] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Nicholas Evenepoel
- Department of Chemical Engineering; KU Leuven; Celestijnenlaan 200F, Leuven B-3001 Belgium
| | - Shufen Wen
- Department of Chemical Engineering; KU Leuven; Celestijnenlaan 200F, Leuven B-3001 Belgium
- Department of Environmental and Chemical Engineering; University of Calabria; Via Pietro Bucci, Cubo 44A, Arcavacata di Rende, CS 87036 Italy
| | - Misgina Tilahun Tsehaye
- Department of Chemical Engineering; KU Leuven; Celestijnenlaan 200F, Leuven B-3001 Belgium
- Department of Chemical Engineering; KIoT, Wollo University; Kombolcha, Ethiopia
| | - Bart Van der Bruggen
- Department of Chemical Engineering; KU Leuven; Celestijnenlaan 200F, Leuven B-3001 Belgium
- Faculty of Engineering and the Built Environment; Tshwane University of Technology; Private Bag X680, Pretoria 0001 South Africa
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Lin HH, Tang YH, Matsuyama H, Wang XL. Dissipative particle dynamics simulation on the membrane formation of polymer–solvent system via nonsolvent induced phase separation. J Memb Sci 2018. [DOI: 10.1016/j.memsci.2017.11.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Manzanarez H, Mericq J, Guenoun P, Chikina J, Bouyer D. Modeling phase inversion using Cahn-Hilliard equations – Influence of the mobility on the pattern formation dynamics. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.08.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Tree DR, Delaney KT, Ceniceros HD, Iwama T, Fredrickson GH. A multi-fluid model for microstructure formation in polymer membranes. SOFT MATTER 2017; 13:3013-3030. [PMID: 28367562 DOI: 10.1039/c6sm02839j] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
We develop a multi-fluid model for a ternary polymer solution using the Rayleighian formalism of Doi and Onuki, and give an efficient pseudo-spectral method for solving both the diffusion and momentum equations that result. Subsequently, we find that the numerical simulation is capable of describing systems at the micron length-scale and easily reaches millisecond time-scales. In addition, we characterize the model thermodynamics and kinetics including the (i) phase behavior, (ii) structure of the interfaces, (iii) mutual diffusion coefficients, (iv) bulk spinodal decomposition kinetics with and without hydrodynamics and (v) spinodal decomposition in the presence of an interface with a non-solvent bath. We obtain good qualitative agreement with the expected thermodynamic and kinetic behavior. We also show that a linear stability analysis of the diffusion equation quantitatively predicts the fastest growing mode obtained from simulation and gives insight into the phase separation process relevant for the evolution of microstructure in phase-separating ternary polymer solutions.
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Affiliation(s)
- Douglas R Tree
- Materials Research Laboratory, University of California, Santa Barbara, CA 93106-5121, USA
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Mannella GA, Carfì Pavia F, La Carrubba V, Brucato V. Phase separation of polymer blends in solution: A case study. Eur Polym J 2016. [DOI: 10.1016/j.eurpolymj.2016.04.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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14
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Ding SG, Cheng XQ, Jiang ZX, Bai YP, Shao L. Pore morphology control and hydrophilicity of polyacrylonitrile ultrafiltration membranes. J Appl Polym Sci 2015. [DOI: 10.1002/app.41991] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Shan Gang Ding
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE); School of Chemical Engineering and Technology, Harbin Institute of Technology; Harbin People's Republic of China
| | - Xi Quan Cheng
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE); School of Chemical Engineering and Technology, Harbin Institute of Technology; Harbin People's Republic of China
| | - Zai Xing Jiang
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE); School of Chemical Engineering and Technology, Harbin Institute of Technology; Harbin People's Republic of China
| | - Yong Ping Bai
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE); School of Chemical Engineering and Technology, Harbin Institute of Technology; Harbin People's Republic of China
| | - Lu Shao
- State Key Laboratory of Urban Water Resource and Environment (SKLUWRE); School of Chemical Engineering and Technology, Harbin Institute of Technology; Harbin People's Republic of China
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15
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Qin W, Peng C, Wu J. Preparation of a highly permeable alumina membrane via wet film phase inversion. RSC Adv 2015. [DOI: 10.1039/c5ra16150a] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Highly permeable alumina membrane has been prepared via wet film phase inversion. Orientated microtubular pores formed due to phase inversion of cellulose acetate.
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Affiliation(s)
- Wu Qin
- School of Materials Science and Engineering
- South China University of Technology
- Guangzhou 510640
- China
| | - Cheng Peng
- School of Materials Science and Engineering
- South China University of Technology
- Guangzhou 510640
- China
| | - Jianqing Wu
- School of Materials Science and Engineering
- South China University of Technology
- Guangzhou 510640
- China
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Madaeni SS, Bakhtiari L, Salehi E. Influence of binary interactions on phase behavior of water/ dimethylsulfoxide/ polyethersulfone casting solution: Thermodynamic modeling. POLYM ADVAN TECHNOL 2013. [DOI: 10.1002/pat.3178] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- S. S. Madaeni
- Membrane Research Center, Chemical Engineering Department; Razi University, Tagh Bostan; Kermanshah 67149 Iran
| | - L. Bakhtiari
- Membrane Research Center, Chemical Engineering Department; Razi University, Tagh Bostan; Kermanshah 67149 Iran
| | - E. Salehi
- Department of Chemical Engineering, Faculty of Engineering; Arak University; Arak Iran
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Madaeni S, Bakhtiari L. Thermodynamic-based predictions of membrane morphology in water/dimethylsulfoxide/polyethersulfone systems. POLYMER 2012. [DOI: 10.1016/j.polymer.2012.07.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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18
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Kim JK, Taki K, Nagamine S, Ohshima M. Preparation of a polymeric membrane with a fine porous structure by dry casting. J Appl Polym Sci 2009. [DOI: 10.1002/app.29348] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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19
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Dong R, Zhao J, Zhang Y, Pan D. Morphology control of polyacrylonitrile (PAN) fibers by phase separation technique. ACTA ACUST UNITED AC 2008. [DOI: 10.1002/polb.21637] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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20
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Funk CV, Beavers BL, Lloyd DR. Effect of particulate filler on cell size in membranes formed via liquid–liquid thermally induced phase separation. J Memb Sci 2008. [DOI: 10.1016/j.memsci.2008.07.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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21
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Deterministic model for matrix solidification in liquid–liquid thermally induced phase separation. J Memb Sci 2007. [DOI: 10.1016/j.memsci.2007.08.037] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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22
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Wallace DW, Staudt-Bickel C, Koros WJ. Efficient development of effective hollow fiber membranes for gas separations from novel polymers. J Memb Sci 2006. [DOI: 10.1016/j.memsci.2005.11.001] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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23
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Zhou B, Powell AC. Phase field simulations of early stage structure formation during immersion precipitation of polymeric membranes in 2D and 3D. J Memb Sci 2006. [DOI: 10.1016/j.memsci.2005.05.030] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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25
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Yandek GR, Kyu T. Theoretical Modeling of the Phase Separation Dynamics in Blends of Reactive Monomers. MACROMOL THEOR SIMUL 2005. [DOI: 10.1002/mats.200400089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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26
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Multicomponent diffusion in phase-separating polymer blends with different frictional interactions: a mean-friction model. Chem Eng Sci 2003. [DOI: 10.1016/s0009-2509(03)00313-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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27
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Gou Z, McHugh AJ. A comparison of Newtonian and viscoelastic constitutive models for dry spinning of polymer fibers. J Appl Polym Sci 2003. [DOI: 10.1002/app.11583] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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28
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Lorén N, Hermansson AM, Williams MAK, Lundin L, Foster TJ, Hubbard CD, Clark AH, Norton IT, Bergström ET, Goodall DM. Phase Separation Induced by Conformational Ordering of Gelatin in Gelatin/Maltodextrin Mixtures. Macromolecules 2000. [DOI: 10.1021/ma0013051] [Citation(s) in RCA: 68] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- N. Lorén
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - A-M. Hermansson
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - M. A. K. Williams
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - L. Lundin
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - T. J. Foster
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - C. D. Hubbard
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - A. H. Clark
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - I. T. Norton
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - E. T. Bergström
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
| | - D. M. Goodall
- SIK, The Swedish Institute for Food and Biotechnology, Box 5401, SE-402 29 Gothenburg, Sweden; Unilever Research Colworth, Colworth House, Sharnbrook, Bedford, MK44 ILQ, UK; and Department of Chemistry, University of York, Heslington, York, Y010 5DD, UK
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