Direct micro-scale monitoring of molecular aggregation, its growth and diffusion via aggregation-induced emission

Soft Matter ◽  
2020 ◽  
Vol 16 (11) ◽  
pp. 2664-2668
Author(s):  
Mane Jyothi ◽  
Mari Annadhasan ◽  
Vuppu Vinay Pradeep ◽  
Rajadurai Chandrasekar
Keyword(s):  
Model Compound ◽  
Molecular Level ◽  
Time Dependent ◽  
Molecular Aggregation ◽  
Aggregation Induced Emission ◽  
Micro Scale ◽  
Diffusion Dynamics ◽  
And Diffusion

Time-dependent monitoring of aggregation-induced fluorescence of a model compound unearth hitherto unknown molecular level events such as the onset of molecular aggregation, their growth, size, and diffusion dynamics.

Controlling Light Emitting Properties in Bis(pyrenyl)-di-imines by Tuning Chemical Functionality of Spacer Group

2021 ◽  
Author(s):  
Moyna Das ◽  
Vishakha Vishakha ◽  
Suvendu Maity ◽  
Prasanta Ghosh ◽  
Madhushree Sarkar
Keyword(s):  
Molecular Aggregation ◽  
Light Emitting ◽  
Aggregation Induced Emission ◽  
Spacer Group ◽  
Chemical Functionality

Aggregation caused quenching (ACQ) and aggregation induced emission (AIE) are dictated by the molecular aggregation which in turn is decided by the chemical features present in a molecule. The photophysical...

Time-dependent internal Quantum Efficiency and diffusion Modulation Transfer Function of N/P photodiodes

2017 ◽  
Vol 49 (11) ◽  
Author(s):  
Christelle Peillon ◽  
Magali Estribeau ◽  
Pierre Magnan ◽  
Alice Pelamatti ◽  
Olivier Saint-Pé ◽  
...  
Keyword(s):  
Transfer Function ◽  
Quantum Efficiency ◽  
Modulation Transfer Function ◽  
Internal Quantum Efficiency ◽  
Time Dependent ◽  
Modulation Transfer ◽  
And Diffusion

scholarly journals An Algorithm for the Stochastic Simulation of Gene Expression and Heterogeneous Population Dynamics

2011 ◽  
Vol 9 (1) ◽  
pp. 89-112 ◽  
Author(s):  
Daniel A. Charlebois ◽  
Jukka Intosalmi ◽  
Dawn Fraser ◽  
Mads Kærn
Keyword(s):  
Gene Expression ◽  
Population Dynamics ◽  
Steady State ◽  
Stochastic Simulation ◽  
Molecular Level ◽  
Single Cells ◽  
Heterogeneous Population ◽  
Population Heterogeneity ◽  
Time Dependent ◽  
Cell Populations

AbstractWe present an algorithm for the stochastic simulation of gene expression and heterogeneous population dynamics. The algorithm combines an exact method to simulate molecular-level fluctuations in single cells and a constant-number Monte Carlo method to simulate time-dependent statistical characteristics of growing cell populations. To benchmark performance, we compare simulation results with steady-state and time-dependent analytical solutions for several scenarios, including steady-state and time-dependent gene expression, and the effects on population heterogeneity of cell growth, division, and DNA replication. This comparison demonstrates that the algorithm provides an efficient and accurate approach to simulate how complex biological features influence gene expression. We also use the algorithm to model gene expression dynamics within “bet-hedging” cell populations during their adaption to environmental stress. These simulations indicate that the algorithm provides a framework suitable for simulating and analyzing realistic models of heterogeneous population dynamics combining molecular-level stochastic reaction kinetics, relevant physiological details and phenotypic variability.

Review. Fluorescence Microscopy Studies of Porous Silica Materials

2013 ◽  
Vol 68 (5-6) ◽  
pp. 423-444 ◽  
Author(s):  
Bastian Rühle ◽  
Melari Davies ◽  
Thomas Bein ◽  
Christoph Bräuchle
Keyword(s):  
Drug Delivery ◽  
Fluorescence Microscopy ◽  
Single Molecule ◽  
Catalyst Deactivation ◽  
Porous Silica ◽  
Diffusion Dynamics ◽  
Silica Materials ◽  
Microscopy Techniques ◽  
And Diffusion ◽  
Diffusion Properties

In this article, we discuss how fluorescence microscopy techniques are used to investigate important characteristics of porous silica materials. We start with a discussion of the synthesis, formation mechanism and functionalization of these materials. We then give an introduction to single molecule microscopy and show how this technique can be used to gain deeper insights into some defining properties of porous silica, such as pore structure, host-guest interactions and diffusion dynamics. We also provide examples from the literature demonstrating how fluorescence microscopy is used for elucidating important aspects of porous silica materials and heterogeneous catalysis, e. g. diffusion properties, reactivity, morphology, intergrowth, accessibility, and catalyst deactivation. Finally, a short outlook on the scope of porous silica hosts in drug delivery applications is given

Technology Diffusion, Product Differentiation and Environmental Subsidies

2009 ◽  
Vol 9 (1) ◽  
Author(s):  
Matthew McGinty ◽  
Frans P de Vries
Keyword(s):  
Product Differentiation ◽  
Technology Diffusion ◽  
Substitution Effect ◽  
Clean Technology ◽  
Environmental Damage ◽  
Diffusion Dynamics ◽  
Imperfectly Competitive ◽  
Environmental Subsidies ◽  
The Relationship ◽  
And Diffusion

Abstract This paper explores the relationship between environmental subsidies, the diffusion of a clean technology, and the degree of product differentiation in an imperfectly competitive market. Like others, we show that the subsidy succeeds in reducing environmental damage only when the substitution effect (the reduction in pollution associated with the clean technology) exceeds the output effect (the extent that the subsidy increases output). Here, we add product differentiation and diffusion dynamics. When the substitution effect dominates, environmental damage decreases monotonically during the diffusion process. The extent of technology diffusion (the degree to which clean technology replaces dirty) is decreasing in the degree of product differentiation. Further, as products become closer substitutes, it is more likely that the subsidy will reduce environmental damage. Finally, the subsidy for clean technology will spill over to the remaining dirty producers, increasing their profit as well. In a free-entry equilibrium, the subsidy decreases pollution when product differentiation is low compared to the relative pollution intensity of the clean technology.

Computer Simulation of Xe adsorption in Zeolite Y

1996 ◽  
Vol 431 ◽  
Author(s):  
Vishwas Gupta ◽  
H. Ted Davis ◽  
Alon V. McCormick
Keyword(s):  
Crystal Structure ◽  
Computer Simulation ◽  
Computer Modeling ◽  
Potential Field ◽  
Molecular Level ◽  
Zeolite Y ◽  
Strong Link ◽  
Adsorption Sites ◽  
Commercially Important ◽  
And Diffusion

AbstractComputer modeling of fluids in zeolites can provide a detailed molecular level understanding of the process of adsorption and diffusion under the influence of the 3-D potential field and the confinement offered by the crystal structure. We have shown that there is a strong link between the location, geometry and energetics of sites and the observed thermodynamics and spectroscopy of the adsorbates. Here we report on the modeling of Xe in zeolite Y, which is of interest both because it is commercially important and because it offers two distinct adsorption sites.

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