Grafting reactions onto poly(organophosphazenes). IV. Light-induced graft copolymerization of organic polymers containing free acid or basic functionalities onto poly[bis(4-benzylphenoxy)phosphazene]

1995 ◽  
Vol 56 (6) ◽  
pp. 747-756 ◽  
Author(s):  
Francesco Minto ◽  
Mario Gleria ◽  
Pietro Bortolus ◽  
Luca Fambri ◽  
Alessandro Pegoretti
1992 ◽  
Vol 28 (2) ◽  
pp. 167-173 ◽  
Author(s):  
Francesco Minto ◽  
Marco Scoponi ◽  
Luca Fambri ◽  
Mario Gleria ◽  
Pietro Bortolus ◽  
...  

Author(s):  
Peter K. Hepler ◽  
Dale A. Callaham

Calcium ions (Ca) participate in many signal transduction processes, and for that reason it is important to determine where these ions are located within the living cell, and when and to what extent they change their local concentration. Of the different Ca-specific indicators, the fluorescent dyes, developed by Grynkiewicz et al. (1), have proved most efficacious, however, their use on plants has met with several problems (2). First, the dyes as acetoxy-methyl esters are often cleaved by extracellular esterases in the plant cell wall, and thus they do not enter the cell. Second, if the dye crosses the plasma membrane it may continue into non-cytoplasmic membrane compartments. Third, even if cleaved by esterases in the cytoplasm, or introduced as the free acid into the cytoplasmic compartment, the dyes often become quickly sequestered into vacuoles and organelles, or extruded from the cell. Finally, the free acid form of the dye readily complexes with proteins reducing its ability to detect free calcium. All these problems lead to an erroneous measurement of calcium (2).


1983 ◽  
Vol 44 (8) ◽  
pp. 953-955 ◽  
Author(s):  
C. Aslangul ◽  
D. Saint-James

1998 ◽  
Vol 29 (1-3) ◽  
pp. 140-145
Author(s):  
R. Sh. Vainberg ◽  
S. A. Bogdanov ◽  
N. D. Butskii

2021 ◽  
Author(s):  
Daniel P. Engelhart ◽  
Vanessa J. Murray ◽  
Elena A. Plis ◽  
Karin Fulford ◽  
Dale C. Ferguson ◽  
...  

2017 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Chong Cheng ◽  
Johannes Hachmann

Organic materials with a high index of refraction (RI) are attracting considerable interest due to their potential application in optic and optoelectronic devices. However, most of these applications require an RI value of 1.7 or larger, while typical carbon-based polymers only exhibit values in the range of 1.3–1.5. This paper introduces an efficient computational protocol for the accurate prediction of RI values in polymers to facilitate in silico studies that an guide the discovery and design of next-generation high-RI materials. Our protocol is based on the Lorentz-Lorenz equation and is parametrized by the polarizability and number density values of a given candidate compound. In the proposed scheme, we compute the former using first-principles electronic structure theory and the latter using an approximation based on van der Waals volumes. The critical parameter in the number density approximation is the packing fraction of the bulk polymer, for which we have devised a machine learning model. We demonstrate the performance of the proposed RI protocol by testing its predictions against the experimentally known RI values of 112 optical polymers. Our approach to combine first-principles and data modeling emerges as both a successful and highly economical path to determining the RI values for a wide range of organic polymers.


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