Programmable Multi-State Fluorescence Switching on a Dynamic Molecular System via Sequential Dynamic Covalent Chemistry and Applications

Dynamic molecular systems capable of controlled transformations are foundational for developing next-generation intelligent materials and sensors. However, achieving sequential, multistate switching with distinct optical outputs on a single molecular platform remains challenging. Here, we introduce a class of dynamic fluorescent systems built upon a single benzo-conjugated acceptor. This system undergoes programmed molecular reconfiguration and fluorescence switching through sequential chemical and pH-driven triggers, leveraging intramolecular oxa/thiol-Michael addition-elimination reactions via dynamic covalent bonding in aqueous medias. Each distinct molecular state exhibits unique, trackable absorbance and fluorescence signatures, governed by precisely controlled pseudo-p<i>K</i> <sub>a</sub> values. We demonstrate the utility of this system by achieving real-time, noninvasive optical tracking of topological transitions in soft materials, specifically monitoring hydrogel degradation and reformation (gel-sol-gel). Furthermore, by tuning the molecular scaffold, we developed derivatives for live-cell imaging, enabling dynamic visualization of intracellular pH fluctuations. This work presents a versatile platform for designing programmable, multistimuli-responsive molecular systems with potential in adaptive materials, chemical sensing, and advanced biomedical diagnostics.

Authors

Institutions

Publication Details

Journal
Precision Chemistry
Published
2025-06-27
DOI
https://doi.org/10.1021/prechem.5c00047
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmable Multi-State Fluorescence Switching on a Dynamic Molecular System via Sequential Dynamic Covalent Chemistry and Applications

Xiaolong Sun, Liren Xu, Yifan Wen, Xiangkun Si
1 links
Precision Chemistry
Photoreceptor and optogenetics research
article

Programmable Multi-State Fluorescence Switching on a Dynamic Molecular System via Sequential Dynamic Covalent Chemistry and Applications

Xiaolong Sun, Liren Xu, Yifan Wen, Xiangkun Si
article en

Abstract

Dynamic molecular systems capable of controlled transformations are foundational for developing next-generation intelligent materials and sensors. However, achieving sequential, multistate switching with distinct optical outputs on a single molecular platform remains challenging. Here, we introduce a class of dynamic fluorescent systems built upon a single benzo-conjugated acceptor. This system undergoes programmed molecular reconfiguration and fluorescence switching through sequential chemical and pH-driven triggers, leveraging intramolecular oxa/thiol-Michael addition-elimination reactions via dynamic covalent bonding in aqueous medias. Each distinct molecular state exhibits unique, trackable absorbance and fluorescence signatures, governed by precisely controlled pseudo-p<i>K</i> <sub>a</sub> values. We demonstrate the utility of this system by achieving real-time, noninvasive optical tracking of topological transitions in soft materials, specifically monitoring hydrogel degradation and reformation (gel-sol-gel). Furthermore, by tuning the molecular scaffold, we developed derivatives for live-cell imaging, enabling dynamic visualization of intracellular pH fluctuations. This work presents a versatile platform for designing programmable, multistimuli-responsive molecular systems with potential in adaptive materials, chemical sensing, and advanced biomedical diagnostics.

Precision ChemistryVol. 3(11)
Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Xi’an Jiaotong University, Dalian University of Technology
Affordable and clean energy
Openalex Percentile: Top 84%
Photoreceptor and optogenetics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.