TY - GEN
T1 - Monitoring bacterial processes by Fourier transform infrared spectroscopy
T2 - 2011 1st Portuguese Meeting in Bioengineering: The Challenge of the XXI Century, ENBENG 2011
AU - Scholz, Teresa
AU - Lopes, Vitor V.
AU - Calado, Cecília R.C.
PY - 2011
Y1 - 2011
N2 - Fourier transform infrared (FTIR) spectroscopy is evaluated as a tool to monitor two bacterial processes: strain discrimination and drug inactivation studies with the gastric pathogen Helicobacter pylori and the plasmid production process based on high-density cultures of recombinant Escherichia coli. Results show, that after evaluation of different incubation conditions of H.pylori with the drug model, the application of principal component analysis to the FTIR spectra assembles the samples into clusters which can be related with the minimal inhibitory concentration. Morever, the same methodology applied to FTIR spectra from 12 different strains can be used to distinguish them. For the E.coli cultures it is possible to estimate the concentration of relevant bioprocess monitoring variables, such as plasmid, biomass, and carbon sources (glucose, glycerol, acetate) by using partial least squares (PLS) models based on FTIR spectra.
AB - Fourier transform infrared (FTIR) spectroscopy is evaluated as a tool to monitor two bacterial processes: strain discrimination and drug inactivation studies with the gastric pathogen Helicobacter pylori and the plasmid production process based on high-density cultures of recombinant Escherichia coli. Results show, that after evaluation of different incubation conditions of H.pylori with the drug model, the application of principal component analysis to the FTIR spectra assembles the samples into clusters which can be related with the minimal inhibitory concentration. Morever, the same methodology applied to FTIR spectra from 12 different strains can be used to distinguish them. For the E.coli cultures it is possible to estimate the concentration of relevant bioprocess monitoring variables, such as plasmid, biomass, and carbon sources (glucose, glycerol, acetate) by using partial least squares (PLS) models based on FTIR spectra.
KW - Bioprocess monitoring
KW - Chemometrics
KW - Drug inactivation
KW - E.coli
KW - FTIR spectroscopy
KW - H.pylori
UR - https://www.scopus.com/pages/publications/80053949537
U2 - 10.1109/ENBENG.2011.6026090
DO - 10.1109/ENBENG.2011.6026090
M3 - Conference contribution
AN - SCOPUS:80053949537
SN - 9781457705229
T3 - 1st Portuguese Meeting in Biomedical Engineering, ENBENG 2011
BT - 1st Portuguese Meeting in Biomedical Engineering, ENBENG 2011
Y2 - 1 March 2011 through 4 March 2011
ER -