Interaction of Caffeic Acid with SDS Micellar Aggregates.

Micellar systems consisting of a surfactant and an additive such as an organic salt or an acid usually self-organize as a series of worm-like micelles that ultimately form a micellar network. The nature of the additive influences micellar structure and properties such as aggregate lifetime. For ionic surfactants such as sodium dodecyl sulfate (SDS), CMC decreases with increasing temperature to a minimum in the low-temperature region beyond which it exhibits the opposite trend.

Redispersion and Self-Assembly of C Fullerene in Water and Toluene.

This work aims at assessing the influence of two different solvents, bidistilled water and toluene, on dispersions of carbon-based engineered nanomaterials, namely, fullerenes, and their self-assembly behavior. The obtained self-assembled carbon-based materials were characterized using UV-vis spectrophotometry and transmission electron microscopy techniques. The results obtained were unexpected when toluene was used for dispersing fullerene C, with the formation of two different types of self-assembled structures: fullerene C nanowhiskers (FNWs) and a type of quasispherical nanostructure.

Esters flash point prediction using artificial neural networks.

In this article, an artificial neural network to predict the flash point of 95 esters was implemented. Four variables were used for its development. A neural network with 4-5-8-5-1 topology was encountered to gain the best agreement of the experimental results with those predicted (square correlation coefficient (R(2)) and root mean square error were 0.