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Deconvolution of Transient Species in a Multivalent Fuel‐Driven Multistep Assembly under Dissipative Conditions
Author(s) -
Shandilya Ekta,
Maiti Subhabrata
Publication year - 2020
Publication title -
chemsystemschem
Language(s) - English
Resource type - Journals
ISSN - 2570-4206
DOI - 10.1002/syst.201900040
Subject(s) - dissipative system , dissipation , transient (computer programming) , deconvolution , kinetic energy , python (programming language) , biological system , chemical physics , chemistry , mechanics , physics , computer science , thermodynamics , classical mechanics , algorithm , biology , operating system
Multivalent chemical fuel driven transient assembly plays a critical role in biological processes. This inspires chemists to design synthetic systems having transient and dynamic functionalities. However, a detailed understanding about the temporal evolution of each of the intermediate species in a multi‐step assembly under dissipative conditions has not yet been explored. Herein, we have shown under dissipative conditions, how the strength of dissipation can modulate the compositional behavior of each of the intermediate species during their survival period by using kinetic modeling (with Python). We have observed that the appearance and disappearance of intermediates (formed either at the first or penultimate assembly step) are highly non‐linear in nature, and it is possible to trap any of the desired intermediates or a mixture of them of certain compositions at a definite time interval simply by tuning the strength of dissipation.