Fluorescent Probes Based on 7-(Diethylamino)quinolin-2(1<i>H</i>)-one Cucurbit[7]uril Complexes for Indicator Displacement Assays: <i>In Silico</i> and Experimental Approaches

In this work, two 7-(diethylamino)-quinolin-2-(1<i>H</i>)-one derivatives (<b>DQ1</b> and <b>DQ2</b>) were synthesized and characterized both structurally and physicochemically. The interaction of these derivatives with cucurbit[7]-uril (<b>CB7</b>) was explored through combined experimental and <i>in silico</i> approaches, highlighting their unique behavior and practical potential. Experimentally, the complexes exhibited a 1:1 stoichiometry, as confirmed by fluorescence spectroscopy and isothermal titration calorimetry (ITC). Remarkably, the interaction with the <b>CB7</b> macrocycle resulted in an unusual negative shift in the p<i>K</i> <sub>a</sub> values of the probes alongside a significant enhancement in fluorescence emission, quantum yield, and fluorescence lifetime. From a computational perspective, the molecular dynamics simulations (MD) demonstrated that hydrogen bonds play a critical role in maintaining the system's stability. Finally, <b>DQ2</b> is proposed as a probe for the indicator displacement assay (IDA) and was tested using methyl viologen (<b>MV</b>) as an analyte.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-06-17
DOI
https://doi.org/10.1021/acsomega.5c03501
Citations
2
Primary Topic
Molecular Sensors and Ion Detection
Type
article
Field-Weighted Citation Impact
1.51

Funders

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

Fluorescent Probes Based on 7-(Diethylamino)quinolin-2(1H)-one Cucurbit[7]uril Complexes for Indicator Displacement Assays: In Silico and Experimental Approaches

Edwin G. Pérez, Margarita E. Aliaga, Kevin Droguett, Nuno Basílio et al.
2 citations
ACS Omega
Molecular Sensors and Ion Detection
1.51
article

Fluorescent Probes Based on 7-(Diethylamino)quinolin-2(1H)-one Cucurbit[7]uril Complexes for Indicator Displacement Assays: In Silico and Experimental Approaches

Edwin G. Pérez, Margarita E. Aliaga, Kevin Droguett, Nuno Basílio, Angélica Fierro, Guillermo E. Quintero
article en
2 citations

Abstract

In this work, two 7-(diethylamino)-quinolin-2-(1<i>H</i>)-one derivatives (<b>DQ1</b> and <b>DQ2</b>) were synthesized and characterized both structurally and physicochemically. The interaction of these derivatives with cucurbit[7]-uril (<b>CB7</b>) was explored through combined experimental and <i>in silico</i> approaches, highlighting their unique behavior and practical potential. Experimentally, the complexes exhibited a 1:1 stoichiometry, as confirmed by fluorescence spectroscopy and isothermal titration calorimetry (ITC). Remarkably, the interaction with the <b>CB7</b> macrocycle resulted in an unusual negative shift in the p<i>K</i> <sub>a</sub> values of the probes alongside a significant enhancement in fluorescence emission, quantum yield, and fluorescence lifetime. From a computational perspective, the molecular dynamics simulations (MD) demonstrated that hydrogen bonds play a critical role in maintaining the system's stability. Finally, <b>DQ2</b> is proposed as a probe for the indicator displacement assay (IDA) and was tested using methyl viologen (<b>MV</b>) as an analyte.

ACS OmegaVol. 10(25)
Pontificia Universidad Católica de Chile (CL), Rede de Química e Tecnologia (PT), Universidade Nova de Lisboa (PT)
Agencia Nacional de Investigación y Desarrollo, Fundação para a Ciência e a Tecnologia, Fondo Nacional de Desarrollo Científico y Tecnológico
Openalex Percentile: Top 18%
Molecular Sensors and Ion Detection
1.51
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.