Electrolyte—Solvent Interaction. XIII. Conductance of Amine Picrates in Ethylene Chloride at 25°1

1964 ◽  
Vol 68 (2) ◽  
pp. 434-435 ◽  
Author(s):  
James J. Zwolenik ◽  
Raymond M. Fuoss
2018 ◽  
Vol 20 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Tsutomu Arakawa ◽  
Yoshiko Kita

Previously, we have reviewed in this journal (Arakawa, T., Kita, Y., Curr. Protein Pept. Sci., 15, 608-620, 2014) the interaction of arginine with proteins and various applications of this solvent additive in the area of protein formulations and downstream processes. In this special issue, we expand the concept of protein-solvent interaction into the analysis of the effects of solvent additives on various column chromatography, including mixed-mode chromatography. Earlier in our research, we have studied the interactions of such a variety of solvent additives as sugars, salts, amino acids, polymers and organic solvents with a variety of proteins, which resulted in mechanistic understanding on their protein stabilization and precipitation effects, the latter known as Hofmeister series. While such a study was then a pure academic research, rapid development of genetic engineering technologies and resultant biotechnologies made it a valuable knowledge in fully utilizing solvent additives in manipulation of protein solution, including column chromatography.


1992 ◽  
Vol 57 (10) ◽  
pp. 2078-2088 ◽  
Author(s):  
Mohinder S. Chauhan ◽  
Kishore C. Sharma ◽  
Sanjay Gupta ◽  
Suvarcha Chauhan ◽  
Vijay K. Syal

Molar conductances and viscosities of Bu4NBPh4, NaBPh4 and R4NBr (R ethyl, propyl and butyl) at 35 °C in acetonitrile (AN), dimethylsulfoxide (DMSO) and their binary mixtures have been reported. The conductivity data has been analysed by the Shedlovsky conductance equation and viscosity data by the Jones-Dole equation. Resolution of limiting molar conductivity (Λ0) and viscosity B coefficient of electrolytes into their ionic components have been achieved by the reference salt method. Viscosity A coefficients have been compared with theoretical Aη coefficients. Derived conductance and viscosity parameters have been discussed in terms of the ion-solvent interaction.


1969 ◽  
Vol 73 (1) ◽  
pp. 223-227 ◽  
Author(s):  
Alessandro D'Aprano ◽  
Raymond M. Fuoss

Gels ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 42
Author(s):  
Simon Friesen ◽  
Yvonne Hannappel ◽  
Sergej Kakorin ◽  
Thomas Hellweg

A full quantitative description of the swelling of smart microgels is still problematic in many cases. The original approach of Flory and Huggins for the monomer–solvent interaction parameter χ cannot be applied to some microgels. The reason for this obviously is that the cross-linking enhances the cooperativity of the volume phase transitions, since all meshes of the network are mechanically coupled. This was ignored in previous approaches, arguing with distinct transition temperatures for different meshes to describe the continuous character of the transition of microgels. Here, we adjust the swelling curves of a series of smart microgels using the Flory–Rehner description, where the polymer–solvent interaction parameter χ is modeled by a Hill-like equation for a cooperative thermotropic transition. This leads to a very good description of all measured microgel swelling curves and yields the physically meaningful Hill parameter ν. A linear decrease of ν is found with increasing concentration of the cross-linker N,N′-methylenebisacrylamide in the microgel particles p(NIPAM), p(NNPAM), and p(NIPMAM). The linearity suggests that the Hill parameter ν corresponds to the number of water molecules per network chain that cooperatively leave the chain at the volume phase transition. Driven by entropy, ν water molecules of the solvate become cooperatively “free” and leave the polymer network.


2020 ◽  
Vol 552 ◽  
pp. 125941
Author(s):  
Wenlong Li ◽  
Peng Shi ◽  
Shichao Du ◽  
Lingyu Wang ◽  
Dandan Han ◽  
...  

1986 ◽  
Vol 59 (1) ◽  
pp. 138-141 ◽  
Author(s):  
Robert A. Hayes

Abstract A two-solvent method for determining the polymer-solvent interaction parameters independently of stress-strain data is described. The values obtained are much lower than those reported previously. Network densities calculated from swelling data and these interaction parameters are in good agreement with those calculated from the return portion of a hysteresis loop at high elongations.


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