Tuneable Control of Organocatalytic Activity through Host–Guest Chemistry

Journal Article (2021)
Author(s)

Guotai Li (TU Delft - Applied Sciences)

Fanny Trausel (TU Delft - Applied Sciences)

Michelle P. van der Helm (TU Delft - Applied Sciences)

Benjamin Klemm (TU Delft - Applied Sciences)

Tobias G. Brevé (TU Delft - Applied Sciences)

Susan A.P. van Rossum (TU Delft - Applied Sciences)

Muhamad Hartono (Student TU Delft)

Harm H.P.J. Gerlings (Student TU Delft)

Matija Lovrak (TU Delft - Applied Sciences)

Jan H. van Esch (TU Delft - Applied Sciences)

Rienk Eelkema (TU Delft - Applied Sciences)

Research Group
ChemE/Advanced Soft Matter
DOI related publication
https://doi.org/10.1002/anie.202102227 Final published version
More Info
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Publication Year
2021
Language
English
Research Group
ChemE/Advanced Soft Matter
Issue number
25
Volume number
60
Pages (from-to)
14022-14029
Downloads counter
323
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Abstract

Dynamic regulation of chemical reactivity is important in many complex chemical reaction networks, such as cascade reactions and signal transduction processes. Signal responsive catalysts could play a crucial role in regulating these reaction pathways. Recently, supramolecular encapsulation was reported to regulate the activities of artificial catalysts. We present a host-guest chemistry strategy to modulate the activity of commercially available synthetic organocatalysts. The molecular container cucurbit[7]uril was successfully applied to change the activity of four different organocatalysts and one initiator, enabling up- or down-regulation of the reaction rates of four different classes of chemical reactions. In most cases CB[7] encapsulation results in catalyst inhibition, however in one case catalyst activation by binding to CB[7] was observed. The mechanism behind this unexpected behavior was explored by NMR binding studies and pKa measurements. The catalytic activity can be instantaneously switched during operation, by addition of either supramolecular host or competitive binding molecules, and the reaction rate can be predicted with a kinetic model. Overall, this signal responsive system proves a promising tool to control catalytic activity.