Continuous-Flow Microreactors for Polymer Synthesis: Engineering Principles and Applications

Su, Yuanhai; Song, Yang; Liang, Xiang

doi:10.1007/s41061-018-0224-1

Cited by 40 publications

(33 citation statements)

References 175 publications

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“…This technology has found wide application in organic synthesis including C−C coupling reactions, C−H bond functionalization, electroorganic synthesis, photochemical reactions, heterocyclic synthesis, heterogeneous catalysis, biocatalyzed reactions, and polymer synthesis among others . Continuous flow chemistry technology has been also applied in the field of 1,3DC reactions …”

Section: “Non‐conventional” Conditions a Short Overviewmentioning

confidence: 99%

1,3‐Dipolar Cycloaddition Reactions of Nitrile Oxides under “Non‐Conventional” Conditions: Green Solvents, Irradiation, and Continuous Flow

Plumet

2020

ChemPlusChem

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The 1,3‐dipolar cycloaddition reactions (DCs) of nitrile oxides (NOs) to alkenes and alkynes are useful methods for the synthesis of 2‐isoxazolines and isoxazoles respectively, which are important classes of heterocyclic compounds in organic and medicinal chemistry. Most of these reactions are carried out in organic solvents and under thermal activation. Nevertheless the use of supercritical carbon dioxide (scCO2) and ionic liquids (Ils) as alternative solvents and the application of microwave (MW) and ultrasound (US) as alternative activation procedures have evident advantages from the “Green Chemistry” point of view. The critical discussion on the applications of these “unconventional” activation methods and reaction conditions in the 1,3‐DCs of NOs is the objective of the present Review.

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Section: “Non‐conventional” Conditions a Short Overviewmentioning

confidence: 99%

1,3‐Dipolar Cycloaddition Reactions of Nitrile Oxides under “Non‐Conventional” Conditions: Green Solvents, Irradiation, and Continuous Flow

Plumet

2020

ChemPlusChem

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“…Microfluidic platforms are uniquely suited for the study of olefin polymerizations as these exothermic reactions take place very quickly, have multiple reaction pathways, require precise control, generate large amounts of chemical waste, and use expensive and difficult to synthesize catalysts. Microfluidics have already been successfully applied to the research of various polymerizations and other exothermic reactions [41][42][43][44] . based on standard heat of polymerization of 1-hexene (III), indicating that more heat is generated than removed, enabling thermographic analysis 45,46 .…”

Section: Microreactor Designmentioning

confidence: 99%

Combining automated microfluidic experimentation with machine learning for efficient polymerization design

et al. 2020

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Understanding polymerization reactions has challenges relating to the complexity of the systems, hazards associated with the reagents, environmental footprint of the operations, and the highly non-linear topologies of reaction spaces. In this work, we aim to present a new methodology for studying such complex reactions using machine-learning-assisted automated microchemical reactors. A custom-designed rapidly prototyped microreactor is used in conjunction with in situ infrared thermography and efficient, high-speed experimentation to map the reaction space for a zirconocene polymerization catalyst. Chemical waste was decreased by two orders of magnitude and catalytic discovery was performed in one hour. Here we show that efficient microfluidic technology can be coupled with machine learning algorithms to obtain high-fidelity datasets on a complex chemical reaction. File list (2) download file view on ChemRxiv Manuscript file.pdf (3.29 MiB) download file view on ChemRxiv Supporting Information.pdf (831.40 KiB)

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Section: Microreactor Designmentioning

confidence: 99%

Combining Automated Microfluidic Experimentation with Machine Learning for Efficient Polymerization Design

Rizkin¹,

Shkolnik²,

Ferraro³

et al. 2020

Preprint

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<div><div><div><p>Understanding polymerization reactions has challenges relating to the complexity of the systems, hazards associated with the reagents, environmental footprint of the operations, and the highly non-linear topologies of reaction spaces. In this work, we aim to present a new methodology for studying such complex reactions using machine-learning-assisted automated microchemical reactors. A custom-designed rapidly prototyped microreactor is used in conjunction with in situ infrared thermography and efficient, high-speed experimentation to map the reaction space for a zirconocene polymerization catalyst. Chemical waste was decreased by two orders of magnitude and catalytic discovery was performed in one hour. Here we show that efficient microfluidic technology can be coupled with machine learning algorithms to obtain high-fidelity datasets on a complex chemical reaction.</p></div></div></div>

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Continuous-Flow Microreactors for Polymer Synthesis: Engineering Principles and Applications

Cited by 40 publications

References 175 publications

1,3‐Dipolar Cycloaddition Reactions of Nitrile Oxides under “Non‐Conventional” Conditions: Green Solvents, Irradiation, and Continuous Flow

1,3‐Dipolar Cycloaddition Reactions of Nitrile Oxides under “Non‐Conventional” Conditions: Green Solvents, Irradiation, and Continuous Flow

Combining automated microfluidic experimentation with machine learning for efficient polymerization design

Combining Automated Microfluidic Experimentation with Machine Learning for Efficient Polymerization Design

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