A neural network model for estimating O2 absorption coefficient in shake-flasks
Authors: Liu Y-C.1; Chang H.1; I Y-P.2
Source: Biotechnology Letters, Volume 22, Number 23, December 2000 , pp. 1885-1888(4)
Publisher: Springer
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Abstract:
A comprehensive, simple, neural network model was constructed to replace the common semi-empirical mathematical models used for predicting individual O_2 absorption coefficients (K_La) within Erlenmeyer and Hinton shake-flasks. Different factors that influence K_La within shake-flasks, such as flask dimensions, working volumes, baffle-heights, and shaking speeds, were investigated and the experimental results employed to deduce the mathematical model for each type of shake-flask. Meanwhile, the K_La values calculated from the mathematical models were used to derive a non-linear neural network estimator (NNE). The NNE for K_La prediction was implemented to evaluate the O_2 absorption effect within the flasks and gave a promising result.
Keywords: mathematical model; neural network model; oxygen absorption coefficient; shake-flask
Language: English
Document Type: Regular paper
Affiliations: 1: Department of Chemical Engineering, National Chung Hsing University, Taichung 402, Taiwan, R.O. China 2: Department of Environmental and Safety Engineering, National Yunlin University of Science and Technology, Yunlin 640, Taiwan, R.O. China
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