Photophysical properties of novel functionalized fluorescent dyes based on diketopyrrolopyrrole and application in inkjet printing ink

2018 ◽  
Vol 199 ◽  
pp. 499-508 ◽  
Author(s):  
Mehdi M. Irani ◽  
Farahnaz Nourmohammadian ◽  
Saeed Bastani ◽  
Farhood Najafi ◽  
Niyaz Mohammad Mahmoodi
2018 ◽  
Author(s):  
Robert B. Quast ◽  
Fataneh Fatemi ◽  
Michel Kranendonk ◽  
Emmanuel Margeat ◽  
Gilles Truan

ABSTRACTConjugation of fluorescent dyes to proteins - a prerequisite for the study of conformational dynamics by single molecule Förster resonance energy transfer (smFRET) - can lead to substantial changes of the dye’s photophysical properties, ultimately biasing the quantitative determination of inter-dye distances. In particular the popular cyanine dyes and their derivatives, which are by far the most used dyes in smFRET experiments, exhibit such behavior. To overcome this, a general strategy to site-specifically equip proteins with FRET pairs by chemo-selective reactions using two distinct non-canonical amino acids simultaneously incorporated through genetic code expansion in Escherichia coli was developed. Applied to human NADPH- cytochrome P450 reductase (CPR), the importance of homogenously labeled samples for accurate determination of FRET efficiencies was demonstrated. Furthermore, the effect of NADP+ on the ionic strength dependent modulation of the conformational equilibrium of CPR was unveiled. Given its generality and accuracy, the presented methodology establishes a new benchmark to decipher complex molecular dynamics on single molecules.


Molecules ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 32 ◽  
Author(s):  
Siyang Ding ◽  
Bicheng Yao ◽  
Louis Schobben ◽  
Yuning Hong

Fluorescent dyes, especially those emitting in the long wavelength region, are excellent candidates in the area of bioassay and bioimaging. In this work, we report a series of simple organic fluorescent dyes consisting of electron-donating aniline groups and electron-withdrawing barbituric acid groups. These dyes are very easy to construct while emitting strongly in the red region in their solid state. The photophysical properties of these dyes, such as solvatochromism and aggregation-induced emission, are systematically characterized. Afterward, the structure–property relationships of these barbituric acid based fluorogens are discussed. Finally, we demonstrate their potential applications for protein amyloid fibril detection.


2013 ◽  
Vol 78 (12) ◽  
pp. 6121-6130 ◽  
Author(s):  
Jianhong Chen ◽  
Weimin Liu ◽  
Bingjiang Zhou ◽  
Guangle Niu ◽  
Hongyan Zhang ◽  
...  

2011 ◽  
Vol 121 (3) ◽  
pp. 1616-1621 ◽  
Author(s):  
Shaohai Fu ◽  
Guifang Zhang ◽  
Changsen Du ◽  
Anli Tian

2014 ◽  
Vol 12 (40) ◽  
pp. 7914-7918 ◽  
Author(s):  
Devendar Goud Vanga ◽  
Mithun Santra ◽  
Ashok Keerthi ◽  
Suresh Valiyaveettil

A few pyrene-based fluorescent compounds were synthesized using Pd/Cu-catalyzed cross-coupling reaction.


Coatings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1525
Author(s):  
Sofia Rubtsov ◽  
Albina Musin ◽  
Michael Zinigrad ◽  
Alexander Kalashnikov ◽  
Viktor Danchuk

This paper proposes a new strategy for producing thin films of TiO2 with embedded gold nanoparticles (TiO2/AuNP). One of the main tasks was the synthesis of a stable dispersion of TiO2 and gold nanoparticles in an aqueous solution of ethylene glycol, suitable for inkjet printing—ink with complex gold nanoparticles (AuCNP ink). The AuCNP were synthesized by a reduction from tetrachloroauric acid in the presence of TiO2 nanoparticles and ethylene glycol (EG). The final formation of TiO2/AuNP films occurred during the annealing of AuCNP layers, inkjet printed on a glass substrate. The TiO2/AuNP films demonstrate absorbance in the yellow-green range due to the localized surface plasmon resonance (LSPR) and are promising for solar cell application.


2020 ◽  
Author(s):  
Cheng-Wei Ju ◽  
Hanzhi Bai ◽  
Bo Li ◽  
Rizhang Liu

<div> <p>The development of functional organic fluorescent materials calls for fast and accurate predictions of photophysical parameters for processes such as high-throughput virtual screening, while the task is challenged by the limitations of quantum mechanical calculations. We establish a database covering >4,300 solvated organic fluorescent dyes and develop new machine learning (ML) approach aimed at efficient and accurate predictions of emission wavelength and photoluminescence quantum yield (PLQY). Our feature engineering has given rise to Functionalized Structure Descriptor (FSD) and Comprehensive General Solvent Descriptor (CGSD), whereby a highly black-box computational framework is realized with consistently good accuracy across different dye families, ability of describing substitution effects and solvent effects, efficiency for large-scale predictions and workability with on-the-fly learning. Evaluations with unseen molecules suggests a remarkable MAE of 0.13 for PLQY and 0.080 eV for emission energy, the latter comparable to time-dependent density functional theory (TD-DFT) calculations. An online prediction platform was constructed based on the ensemble model to make prediction in various solvents (https://www.chemfluor.top/). Our statistical learning methodology will complement quantum mechanical calculations as an efficient alternative approach for the prediction of these parameters.<br></p> </div><p> <br></p>


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