Uso de redes neurais recorrentes na determinação das constantes de acidez para a 7-epiclusianona em misturas etanol-água

Abstract

Recebido em 14/2/11; aceito em 15/6/11; publicado na web em 5/8/11 USE OF RECURRENT NEURAL NETWORKS FOR DETERMINATION OF 7-EPICLUSIANONE ACIDITY CONSTANTS IN ETHANOL-WATER MIXTURES. This work propose a recursive neural network to solve inverse equilibrium problem. The acidity constants of 7-epiclusianone in ethanol-water binary mixtures were determined from multiwavelength spectrophotmetric data. A linear relationship between acidity constants and the %w/v of ethanol in the solvent mixture was observed. The proposed method efficiency is compared with the Simplex method, commonly used in nonlinear optimization techniques. The neural network method is simple, numerically stable and has a broad range of applicability.

Antibacterial Activity of 7-Epiclusianone and Its Novel Copper Metal Complex on Streptococcus spp. Isolated from Bovine Mastitis and Their Cytotoxicity in MAC-T Cells

“…For the synthesis of 7-epi-Cu, 7-epi was weighed out, dissolved in ethanol, and added to potassium bicarbonate. The potassium bicarbonate ionized the benzophenone, which is a weak acid (pKa = 3.756) [ 52 ], and increased complexation. The metal ion Cu 2+ was added to ionize the chelator molecule and there was a large excess of metal relative to benzophenone, which shifted the equilibrium toward complex formation.…”