Pauletto, P. S.; Goncalves, J. O.; Pinto, L. A. A.; Dotto, G. L.; Salau, N. P. G. published the article 《Single and competitive dye adsorption onto chitosan-based hybrid hydrogels using artificial neural network modeling》. Keywords: competitive dye adsorption chitosan hydrogel artificial neural network modeling; Artificial neural network; Binary system; Chitosan; Competitive adsorption; Hydrogel.They researched the compound: Sodium 6-hydroxy-5-((2-methoxy-5-methyl-4-sulfonatophenyl)diazenyl)naphthalene-2-sulfonate( cas:25956-17-6 ).COA of Formula: C18H14N2Na2O8S2. Aromatic heterocyclic compounds can be divided into two categories: single heterocyclic and fused heterocyclic. In addition, there is a lot of other information about this compound (cas:25956-17-6) here.
Chitosan-based hybrid hydrogels such as chitosan hydrogel (CH), chitosan hydrogel with activated carbon (CH-AC), scaffold-chitosan hydrogel (SCH), scaffold-chitosan hydrogel with activated carbon (SCH-AC) and scaffold-chitosan hydrogel with carbon nanotubes (SCH-CN) were synthesized, characterized and applied to adsorb Acid Blue 9 (AB) and Allura Red AC (AR) from single and simultaneous binary liquid systems. Exptl. results revealed competitive adsorption as the adsorption capacity was reduced in binary system for each dye. In addition, SCH-CN presented the highest adsorption capacity for both dyes, indicating that the modification increased the number of active sites and the functionalization with -OH groups favored the interactions with sulfonated groups of the dyes. A predictive artificial neural network (ANN) was implemented to forecast the adsorption capacity for AB and AR dyes as a function of initial molar concentration of each dye, adsorption time, porosity and mass percentage of carbonaceous material on each hydrogel. The network was trained with the Levenberg-Marquardt back-propagation optimization, and according to the high correlation coefficient (R = 0.9987) and low values of root mean square error (RMSE = 0.0119), sum of the absolute error (SAE = 0.7541) and sum of squares error (SSE = 0.0132), the best topol. was found to be 5-10-10-10-2. The ANN proved to be effective in predicting dye adsorption capacity of each hydrogel, even for the competitive adsorption, as the R values were close to unity for all simulation systems.
After consulting a lot of data, we found that this compound(25956-17-6)COA of Formula: C18H14N2Na2O8S2 can be used in many types of reactions. And in most cases, this compound has more advantages.
Reference:
Pyrazole – Wikipedia,
Pyrazoles – an overview | ScienceDirect Topics