Estimation of the volumetric oxygen transfer coefficient (KLa) from the gas balance and using a neural network technique



Document title: Estimation of the volumetric oxygen transfer coefficient (KLa) from the gas balance and using a neural network technique
Journal: Brazilian journal of chemical engineering
Database: PERIÓDICA
System number: 000308644
ISSN: 0104-6632
Authors: 1

2

Institutions: 1Universidade Federal de Sao Carlos, Departamento de Engenharia Quimica, Sao Carlos, Sao Paulo. Brasil
2Universidade Estadual Paulista "Julio de Mesquita Filho", Instituto de Quimica, Araraquara, Sao Paulo. Brasil
Year:
Season: Jun
Volumen: 16
Number: 2
Pages: 179-183
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Experimental, aplicado
English abstract This paper reports on the use of the gas balance and dynamic methods to obtain an estimate of the volumetric oxygen transfer coefficient (kLa) in a conventional reactor during the growth phase of the microorganism Cephalosporium acremonium. A new way of calculating kLa by the dynamic method employing an electrode with a slow response, is proposed. The calculated values of kLa were used in the training of a feedforward neural network, for which the inputs were the parameter measurements of the related variables. The neural network technique proved effective, predicting values of kLa accurately from input data not used during the training phase. In contrast, the gas balance method was shown to be less useful. This could be attributed to the poor data obtained with the apparatus used to measure the oxygen in the exhaust gas, explained by the low rate of oxygen consumption by the microorganism
Disciplines: Química
Keyword: Biotecnología,
Ingeniería química,
Reactores,
Cultivo de hongos,
Oxígeno volumétrico,
Coeficiente de transferencia,
Cephalosporium acremonium
Keyword: Chemistry,
Biotechnology,
Chemical engineering,
Reactors,
Fungi culture,
Volumetric oxygen,
Transfer coefficient,
Cephalosporium acremonium
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