Citation

BibTex format

@article{Royce:1992:10.1002/bit.260400511,
author = {Royce, PN and Thornhill, NF},
doi = {10.1002/bit.260400511},
journal = {Biotechnol Bioeng},
pages = {634--637},
title = {Analysis of noise and bias in fermentation oxygen uptake rate data.},
url = {http://dx.doi.org/10.1002/bit.260400511},
volume = {40},
year = {1992}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The calculation of many derived fermentation variables such as the respiratory quotient (RQ) and mass transfer coefficient (K(L)a) requires the differences between the molar percentages of oxygen and carbon dioxide in the fermentor inlet and exit gas, called the %OUR and %CER. Noise and bias in %CER data is of order that in the exit gas carbon dioxide analysis. However, the relative amount of noise in the %OUR is one to two orders of magnitude greater than the noise in the raw oxygen analyses because the %OUR is calculated as a small difference between two large quantities. The noise in the %OUR is white with a Gaussian amplitude probability distribution of absolute standard deviation 0.0145. A chi-square filter of the %OUR data is shown to considerably improve the quality of the calculated RQ and K(L)a for a fermentation of Streptomyces clavuligerus.
AU - Royce,PN
AU - Thornhill,NF
DO - 10.1002/bit.260400511
EP - 637
PY - 1992///
SN - 0006-3592
SP - 634
TI - Analysis of noise and bias in fermentation oxygen uptake rate data.
T2 - Biotechnol Bioeng
UR - http://dx.doi.org/10.1002/bit.260400511
UR - https://www.ncbi.nlm.nih.gov/pubmed/18601160
VL - 40
ER -

Contact us

Nina Thornhill, ABB/RAEng Professor of Process Automation
Centre for Process Systems Engineering
Department of Chemical Engineering
Imperial College London
South Kensington Campus, London SW7 2AZ

Tel: +44 (0)20 7594 6622
Email: n.thornhill@imperial.ac.uk