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

Publication date: 2000-12-01