State variables monitoring by in situ multi-wavelength fluorescence spectroscopy in heterologous protein production by Pichia pastoris

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Anna Surribas
  • David Geissler
  • Alexander Gierse
  • Thomas Scheper
  • Bernd Hitzmann
  • José Luis Montesinos
  • Francisco Valero

Organisationseinheiten

Externe Organisationen

  • Universidad Autónoma de Barcelona (UAB)
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Details

OriginalspracheEnglisch
Seiten (von - bis)412-419
Seitenumfang8
FachzeitschriftJournal of biotechnology
Jahrgang124
Ausgabenummer2
PublikationsstatusVeröffentlicht - 20 Feb. 2006

Abstract

State variables throughout non-induced and induced cultivations of Pichia pastoris for the heterologous Rhizopus oryzae lipase (ROL) production were monitored with a multi-wavelength on-line fluorescence sensor. Based on this work, the use of in situ multi-wavelength fluorometry combined with chemometrics models (PLS-1 models) provided a quantitative prediction of biomass and substrates (glycerol and methanol) during non-induced and induced ROL production. The mean prediction errors for both variables were about 7% and 10%, respectively. ROL is also quite satisfactory estimated in the exponential growth phase with prediction errors similar to biomass and substrate variables. However, in the stationary phase, where proteolytic degradation of ROL is observed, the prediction error could get a value about 20%. This fact is due to the lower reproducibility of protein production from batch to batch.

ASJC Scopus Sachgebiete

Zitieren

State variables monitoring by in situ multi-wavelength fluorescence spectroscopy in heterologous protein production by Pichia pastoris. / Surribas, Anna; Geissler, David; Gierse, Alexander et al.
in: Journal of biotechnology, Jahrgang 124, Nr. 2, 20.02.2006, S. 412-419.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Surribas A, Geissler D, Gierse A, Scheper T, Hitzmann B, Montesinos JL et al. State variables monitoring by in situ multi-wavelength fluorescence spectroscopy in heterologous protein production by Pichia pastoris. Journal of biotechnology. 2006 Feb 20;124(2):412-419. doi: 10.1016/j.jbiotec.2006.01.002
Surribas, Anna ; Geissler, David ; Gierse, Alexander et al. / State variables monitoring by in situ multi-wavelength fluorescence spectroscopy in heterologous protein production by Pichia pastoris. in: Journal of biotechnology. 2006 ; Jahrgang 124, Nr. 2. S. 412-419.
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title = "State variables monitoring by in situ multi-wavelength fluorescence spectroscopy in heterologous protein production by Pichia pastoris",
abstract = "State variables throughout non-induced and induced cultivations of Pichia pastoris for the heterologous Rhizopus oryzae lipase (ROL) production were monitored with a multi-wavelength on-line fluorescence sensor. Based on this work, the use of in situ multi-wavelength fluorometry combined with chemometrics models (PLS-1 models) provided a quantitative prediction of biomass and substrates (glycerol and methanol) during non-induced and induced ROL production. The mean prediction errors for both variables were about 7% and 10%, respectively. ROL is also quite satisfactory estimated in the exponential growth phase with prediction errors similar to biomass and substrate variables. However, in the stationary phase, where proteolytic degradation of ROL is observed, the prediction error could get a value about 20%. This fact is due to the lower reproducibility of protein production from batch to batch.",
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AU - Geissler, David

AU - Gierse, Alexander

AU - Scheper, Thomas

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AU - Montesinos, José Luis

AU - Valero, Francisco

N1 - Funding information: A.S. is recipient of a predoctoral fellowship from the Ministerio de Educación y Ciencia (Spain). This work has been supported by the Spanish programme on Chemical Processes Technologies (CTQ2004-00300). The Department of Chemical Engineering (UAB) is member as Unit of Biochemical Engineering of the Centre de Referència en Biotecnologia de Catalunya (Generalitat de Catalunya). Authors would like to thank Martina Weiss for their contribution to this work.

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