6533b871fe1ef96bd12d1148
RESEARCH PRODUCT
A rapid method for the differentiation of yeast cells grown under carbon and nitrogen-limited conditions by means of partial least squares discriminant analysis employing infrared micro-spectroscopic data of entire yeast cells.
Christoph HerwigGuillermo QuintásBernhard LendlJulia Kuligowskisubject
Time FactorsChemistry(all)Spectrophotometry InfraredNitrogenAnalytical chemistryInfrared spectroscopyPichiaArticleAnalytical ChemistryPichia pastorisPichia pastorisInfrared (IR) micro-spectroscopyPartial least squares regressionProcess controlPartial least squares-discriminant analysis (PLS-DA)Least-Squares AnalysisProjection (set theory)Cell ProliferationPrincipal Component AnalysisbiologyChemistryDiscriminant AnalysisReproducibility of ResultsLinear discriminant analysisbiology.organism_classificationDouble cross validation (2CV)YeastCarbonYeastCulture MediaPermutation testingPrincipal component analysisFeasibility StudiesBiological systemdescription
This paper shows the ease of application and usefulness of mid-IR measurements for the investigation of orthogonal cell states on the example of the analysis of Pichia pastoris cells. A rapid method for the discrimination of entire yeast cells grown under carbon and nitrogen-limited conditions based on the direct acquisition of mid-IR spectra and partial least squares discriminant analysis (PLS-DA) is described. The obtained PLS-DA model was extensively validated employing two different validation strategies: (i) statistical validation employing a method based on permutation testing and (ii) external validation splitting the available data into two independent sub-sets. The Variable Importance in Projection scores of the PLS-DA model provided deeper insight into the differences between the two investigated states. Hence, we demonstrate the feasibility of a method which uses IR spectra from intact cells that may be employed in a second step as an in-line tool in process development and process control along Quality by Design principles.
year | journal | country | edition | language |
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2012-09-01 | Talanta |