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Wang TT, Zhou YN, Luo ZH, Zhu S. Beauty of Explicit Dispersity ( Đ) Equations in Controlled Polymerizations. ACS Macro Lett 2023; 12:1423-1436. [PMID: 37812608 DOI: 10.1021/acsmacrolett.3c00484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Abstract
Dispersity (Đ) as a critical parameter indicates the level of uniformity of the polymer molar mass or chain length. In the past several decades, the development of explicit equations for calculating Đ experiences a continual revolution. This viewpoint tracks the historical evolution of the explicit equations from living to reversible-deactivation polymerization systems. Emphasis is laid on displaying the charm of explicit Đ equations in batch reversible-deactivation radical polymerization (RDRP), with highlights of the relevant elegant mathematical manipulations. Some representative emerging applications enabled by the existing explicit equations are shown, involving nitroxide-mediated polymerization (NMP), atom transfer radical polymerization (ATRP), and reversible addition-fragmentation chain transfer (RAFT) polymerization systems. Stemming from the several outlined challenges and outlooks, sustained concerns about the explicit Đ equations are still highly deserved. It is expected that these equations will continue to play an important role not only in traditional polymerization kinetic simulation and design of experiments but also in modern intelligent manufacturing of precision polymers and classroom education.
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Affiliation(s)
- Tian-Tian Wang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Yin-Ning Zhou
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Zheng-Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Shiping Zhu
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, PR China
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2
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Wilding CP, Knox ST, Bourne RA, Warren NJ. Development and Experimental Validation of a Dispersity Model for In Silico RAFT Polymerization. Macromolecules 2023; 56:1581-1591. [PMID: 36874531 PMCID: PMC9979647 DOI: 10.1021/acs.macromol.2c01798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 01/20/2023] [Indexed: 02/11/2023]
Abstract
The exploitation of computational techniques to predict the outcome of chemical reactions is becoming commonplace, enabling a reduction in the number of physical experiments required to optimize a reaction. Here, we adapt and combine models for polymerization kinetics and molar mass dispersity as a function of conversion for reversible addition fragmentation chain transfer (RAFT) solution polymerization, including the introduction of a novel expression accounting for termination. A flow reactor operating under isothermal conditions was used to experimentally validate the models for the RAFT polymerization of dimethyl acrylamide with an additional term to accommodate the effect of residence time distribution. Further validation is conducted in a batch reactor, where a previously recorded in situ temperature monitoring provides the ability to model the system under more representative batch conditions, accounting for slow heat transfer and the observed exotherm. The model also shows agreement with several literature examples of the RAFT polymerization of acrylamide and acrylate monomers in batch reactors. In principle, the model not only provides a tool for polymer chemists to estimate ideal conditions for a polymerization, but it can also automatically define the initial parameter space for exploration by computationally controlled reactor platforms provided a reliable estimation of rate constants is available. The model is compiled into an easily accessible application to enable simulation of RAFT polymerization of several monomers.
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Affiliation(s)
- Clarissa.
Y. P. Wilding
- School
of Chemical and Process Engineering, University
of Leeds, LS2 9JT Leeds, U.K.
- Institute
of Process Research and Development, School of Chemistry, University of Leeds, LS2 9JT Leeds, U.K.
| | - Stephen. T. Knox
- School
of Chemical and Process Engineering, University
of Leeds, LS2 9JT Leeds, U.K.
- Institute
of Process Research and Development, School of Chemistry, University of Leeds, LS2 9JT Leeds, U.K.
| | - Richard. A. Bourne
- School
of Chemical and Process Engineering, University
of Leeds, LS2 9JT Leeds, U.K.
- Institute
of Process Research and Development, School of Chemistry, University of Leeds, LS2 9JT Leeds, U.K.
| | - Nicholas. J. Warren
- School
of Chemical and Process Engineering, University
of Leeds, LS2 9JT Leeds, U.K.
- Institute
of Process Research and Development, School of Chemistry, University of Leeds, LS2 9JT Leeds, U.K.
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3
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Wang TT, Luo ZH, Zhou YN. On the Precise Determination of Molar Mass and Dispersity in Controlled Chain-Growth Polymerization: A Distribution Function-Based Strategy. Macromolecules 2023. [DOI: 10.1021/acs.macromol.2c01861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Tian-Tian Wang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai200240, PR China
| | - Zheng-Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai200240, PR China
| | - Yin-Ning Zhou
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai200240, PR China
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4
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Precision Polymer Synthesis by Controlled Radical Polymerization: Fusing the progress from Polymer Chemistry and Reaction Engineering. Prog Polym Sci 2022. [DOI: 10.1016/j.progpolymsci.2022.101555] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Rosenbloom SI, Hsu JH, Fors BP. Controlling the shape of the molecular weight distribution for tailored tensile and rheological properties in thermoplastics and thermoplastic elastomers. JOURNAL OF POLYMER SCIENCE 2022. [DOI: 10.1002/pol.20210894] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
| | - Jesse H. Hsu
- Department of Chemistry and Chemical Biology Cornell University Ithaca New York USA
| | - Brett P. Fors
- Department of Chemistry and Chemical Biology Cornell University Ithaca New York USA
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6
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Hakobyan K, Xu J, Müllner M. The challenges of controlling polymer synthesis at the molecular and macromolecular level. Polym Chem 2022. [DOI: 10.1039/d1py01581h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In this Perspective, we outline advances and challenges in controlling the structure of polymers at various size regimes in the context of structural features such as molecular weight distribution, end groups, architecture, composition and sequence.
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Affiliation(s)
- Karen Hakobyan
- Key Centre for Polymers and Colloids, School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia
- The University of Sydney Nano Institute (Sydney Nano), Sydney, NSW 2006, Australia
- School of Chemical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Jiangtao Xu
- School of Chemical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Markus Müllner
- Key Centre for Polymers and Colloids, School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia
- The University of Sydney Nano Institute (Sydney Nano), Sydney, NSW 2006, Australia
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7
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Rolland M, Lohmann V, Whitfield R, Truong NP, Anastasaki A. Understanding dispersity control in
photo‐
atom transfer radical polymerization: Effect of degree of polymerization and kinetic evaluation. JOURNAL OF POLYMER SCIENCE 2021. [DOI: 10.1002/pol.20210319] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Manon Rolland
- Laboratory of Polymeric Materials, Department of Materials ETH Zürich Zürich Switzerland
| | - Victoria Lohmann
- Laboratory of Polymeric Materials, Department of Materials ETH Zürich Zürich Switzerland
| | - Richard Whitfield
- Laboratory of Polymeric Materials, Department of Materials ETH Zürich Zürich Switzerland
| | - Nghia P. Truong
- Laboratory of Polymeric Materials, Department of Materials ETH Zürich Zürich Switzerland
| | - Athina Anastasaki
- Laboratory of Polymeric Materials, Department of Materials ETH Zürich Zürich Switzerland
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Marien YW, Edeleva M, Figueira FL, Arraez FJ, Van Steenberge PHM, D'hooge DR. Translating Simulated Chain Length and Molar Mass Distributions in Chain‐Growth Polymerization for Experimental Comparison and Mechanistic Insight. MACROMOL THEOR SIMUL 2021. [DOI: 10.1002/mats.202100008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Yoshi W. Marien
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Mariya Edeleva
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Freddy L. Figueira
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Francisco J. Arraez
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | | | - Dagmar R. D'hooge
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
- Centre for Textile Science and Engineering Ghent University Technologiepark 70a Gent B‐9052 Belgium
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Rosenbloom SI, Sifri RJ, Fors BP. Achieving molecular weight distribution shape control and broad dispersities using RAFT polymerizations. Polym Chem 2021. [DOI: 10.1039/d1py00399b] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Metered additions of chain transfer agents are used to control molecular weight distribution (MWD) features in reversible addition-fragmentation chain-transfer polymerizations, giving polymers with tailored MWD shapes and dispersities as high as 6.2.
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Affiliation(s)
- Stephanie I. Rosenbloom
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, 14853, USA
| | - Renee J. Sifri
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, 14853, USA
| | - Brett P. Fors
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, 14853, USA
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