Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 507-517 |
| Number of pages | 10 |
| Journal | Yeast |
| Volume | 23 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2006 |
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Keywords
- near-infrared spectroscopy
- saccharomyces cerevisiae
- bioprocess monitoring
- high cell density
- fed-batch bioprocess
- pharmacology
- biomedical sciences
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Near infrared spectroscopic monitoring biomass, glucose, ethanol and protein content in a high cell density baker's yeast fed-batch culture. / McNeil, B.; Finn, B.; Harvey, L.M.
In: Yeast, Vol. 23, No. 7, 2006, p. 507-517.Research output: Contribution to journal › Article
TY - JOUR
T1 - Near infrared spectroscopic monitoring biomass, glucose, ethanol and protein content in a high cell density baker's yeast fed-batch culture
AU - McNeil, B.
AU - Finn, B.
AU - Harvey, L.M.
PY - 2006
Y1 - 2006
N2 - The use of at-line NIRS to monitor a high cell density fed-batch baker's yeast bioprocess was investigated. Quantification of the key analytes (biomass, ethanol and glucose) and the product quality indicator (percentage protein content) was studied. Biomass was quantitatively modelled using whole matrix samples (as was percentage protein content). The dominance of the whole matrix spectrum by biomass, and its associated light scattering effects, were overcome by use of filtrate samples and adapted (semi-synthetic) filtrate samples, which allowed successful ethanol and glucose modelling, respectively. Calibrations were rigorously challenged via external validation with large sample sets relative to the calibration sample size, ensuring model robustness and potential practical utility. The standard errors of calibration for biomass, glucose, ethanol and total intracellular protein were (g/l) 1.79, 0.19, 0.79 and 0.91, respectively, comparable to those of the primary assays. The calibration strategies necessary to generate quantitative models for this range of analytes in such a complex high cell density bioprocess fluid are discussed.
AB - The use of at-line NIRS to monitor a high cell density fed-batch baker's yeast bioprocess was investigated. Quantification of the key analytes (biomass, ethanol and glucose) and the product quality indicator (percentage protein content) was studied. Biomass was quantitatively modelled using whole matrix samples (as was percentage protein content). The dominance of the whole matrix spectrum by biomass, and its associated light scattering effects, were overcome by use of filtrate samples and adapted (semi-synthetic) filtrate samples, which allowed successful ethanol and glucose modelling, respectively. Calibrations were rigorously challenged via external validation with large sample sets relative to the calibration sample size, ensuring model robustness and potential practical utility. The standard errors of calibration for biomass, glucose, ethanol and total intracellular protein were (g/l) 1.79, 0.19, 0.79 and 0.91, respectively, comparable to those of the primary assays. The calibration strategies necessary to generate quantitative models for this range of analytes in such a complex high cell density bioprocess fluid are discussed.
KW - near-infrared spectroscopy
KW - saccharomyces cerevisiae
KW - bioprocess monitoring
KW - high cell density
KW - fed-batch bioprocess
KW - pharmacology
KW - biomedical sciences
UR - http://dx.doi.org/10.1002/yea.1371
U2 - 10.1002/yea.1371
DO - 10.1002/yea.1371
M3 - Article
VL - 23
SP - 507
EP - 517
JO - Yeast
JF - Yeast
SN - 0749-503X
IS - 7
ER -