An Expert Network for Predictive Modeling and Optimal Design of Extractive Bioseparations in Aqueous Two-Phase Systems

Sistemas aquosos bifásicos: fundamentos e aplicações para partição/purificação de proteínas

“…A combinação dos dois termos discutidos anteriormente, a entalpia e a entropia de mistura, na clássica equação da termodinâmica, Δ mix G=Δ mix H-TΔ mix S, fornece a Equação 11 (11) Caso tenhamos valores de Δε ij ou χ ij medidos ou calculados para um dado sistema em função da temperatura e concentração, pode-mos aplicar estes valores na Equação 11 e minimizando-a obteremos os dados referentes ao diagrama de fase, incluindo as composições das fases em equilíbrio, a curva binodal, o ponto crítico, etc. Infelizmente estes dados são escassos, e muitas vezes a minimização da função Δ mix G não é tarefa simples, levando à necessidade de aplicar novos modelos [38][39][40][41][42] .…”

Model based control of a yeast fermentation bioreactor using optimally designed artificial neural networks

“…product of mass-transfer coefficient for oxygen and gas-phase specific area (h −1 ) (k l a) 0 product of mass-transfer coefficient at 20 • C for O 2 and gas-phase specific area (h −1 ) K O 2 constant of oxygen consumption (g/l) K P constant of growth inhibition by ethanol (g/l) K P1 constant of fermentation inhibition by ethanol (g/l) K S constant in the substrate term for growth (g/l) K S1 constant in the substrate term for ethanol production (g/l) vector with all weights and biases of the reduced network ρ ag density of cooling agent (g/l) ρ r density of the mass of reaction (g/l) ξ j saliency for weight j corresponding to the ANN structure tions of gross errors in process systems [3], fault detection in control systems [4] and optimal design of chemical processes [5]. ANNs were successfully used in many applications as nonlinear input-output maps for process data, in the identification and modeling of linear and nonlinear systems [6][7][8], and in various process control [9][10][11], and pattern recognition [12,13] applications.…”

Modeling of vapor sorption in polymeric film studied by surface plasmon resonance spectroscopy

“…An example is environmental monitoring, such as detecting the presence and concentration of toxic or otherwise dangerous gases that are released through spillage or leakage [3]. Another broad application area is quality control and industrial monitoring, particularly in such industries as food processing, perfume, beverage and other chemical products [4,5]. Monitoring and determining the constituents of a sample gas typically involves collecting samples and analyzing them in a gas chromatograph-mass spectrometer (GC-MS) of significant size and cost [6].…”