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Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocess characterization

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Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocess characterization

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Título Evaluation of wavelength selection methods for 2D fluorescence spectra applied to bioprocess characterization
Autor Masiero, Sara Scomazzon
Trierweiler, Jorge Otávio
Farenzena, Marcelo
Escobar, Matheus de Souza
Trierweiler, Luciane Ferreira
Ranzan, Cassiano
Abstract In biotechnological processes, the productivity and costs depend strongly on the control of the operating conditions. For this reason, sensors that allow the monitoring of variables of interest become quite important. 2D fluorescence spectroscopy is one promising option among those that are being applied for this purpose. In the present work, three methods were evaluated to select the best excitation/emission wavelength pairs of 2D fluorescence spectra to infer product, substrate and cellular concentrations throughout a fermentation using a multiple linear chemometric model: Exhaustive Search (ES), Stepwise Regression and Genetic Algorithm (GA). The Stepwise Regression presented unsatisfying results, while GA always led to good R² values in short computational times. However, for the proposed problem, the ES showed the best performance, finding the global optimum in a few minutes.
Contido em Brazilian journal of chemical engineering. São Paulo. Vol. 30, no. 2 (Apr./June 2013), p. 289-298
Assunto Biotecnologia
Fermentação
Fluorometria
[en] 2D fluorescence spectroscopy
[en] Fermentation
[en] Variable selection
[en] Wavelength
Origem Nacional
Tipo Artigo de periódico
URI http://hdl.handle.net/10183/115650
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