Open AccessA New Evaluation Method for 2‐D Fluorescence Spectra Based on Theoretical Modeling
Author(s) -
Geissler D.,
Solle D.,
Stärk E.,
Scheper T.,
Märkl H.,
Hitzmann B.
Publication year - 2003
Publication title -
engineering in life sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.547
H-Index - 57
eISSN - 1618-2863
pISSN - 1618-0240
DOI - 10.1002/elsc.200300019
Subject(s) - calibration , biological system , fluorescence , mean squared error , spectral line , biomass (ecology) , process (computing) , chemistry , analytical chemistry (journal) , root mean square , mathematics , chromatography , statistics , computer science , physics , optics , biology , ecology , quantum mechanics , astronomy , operating system
This article presents a new evaluation procedure of 2‐D fluorescence spectra obtained during a yeast cultivation without performing a calibration measurement. The 2‐D fluorescence spectra are used to predict the process variables biomass, glucose and ethanol. The new calibration procedure uses a theoretical model of these process variables, i.e., differential equations, to replace any calibration measurement. The theoretical model parameters are identified simultaneously during the calculation of the chemometric models. The root mean square error of prediction of the chemometric models with respect to off‐line measurements are 1.5 g/L, 0.40 g/L and 0.56 g/L for glucose, biomass and ethanol, respectively.