Literature DB >> 18392869

Biomass measurement online: the performance of in situ measurements and software sensors.

Kristiina Kiviharju1, Kalle Salonen, Ulla Moilanen, Tero Eerikäinen.   

Abstract

Biomass measurement is one of the most critical measurements in biotechnological processes. The technologies developed for the measurement of biomass in situ have developed over the years. Because it has been over 10 years since the last review concentrating on practical issues concerning biomass measurements, it is time to evaluate recent developments in the field. This review concentrates on the applications of dielectric spectroscopy, optical density, infrared spectroscopy, and fluorescence for in situ measurement of biomass. The advantages offered by these methods and an economic way of estimating biomass concentration, the software sensors, are considered.

Mesh：

Year:  2008        PMID： 18392869     DOI： 10.1007/s10295-008-0346-5

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN： 1367-5435            Impact factor:   3.346


  39 in total

Review 1.  On-line, real-time measurements of cellular biomass using dielectric spectroscopy.

Authors:  J E Yardley; D B Kell; J Barrett; C L Davey
Journal:  Biotechnol Genet Eng Rev       Date:  2000

Review 2.  In-situ-fluorescence-probes: a useful tool for non-invasive bioprocess monitoring.

Authors:  E Stärk; B Hitzmann; K Schügerl; T Scheper; C Fuchs; D Köster; H Märkl
Journal:  Adv Biochem Eng Biotechnol       Date:  2002       Impact factor: 2.635

3.  Simple technique for simultaneous on-line estimation of biomass and acetate from base consumption and conductivity measurements in high-cell density cultures of Escherichia coli.

Authors:  F Hoffmann; M Schmidt; U Rinas
Journal:  Biotechnol Bioeng       Date:  2000-11-05       Impact factor: 4.530

4.  Estimation of multiple biomass growth rates and biomass concentration in a class of bioprocesses.

Authors:  V Lubenova; I Rocha; E C Ferreira
Journal:  Bioprocess Biosyst Eng       Date:  2003-06-18       Impact factor: 3.210

5.  The tuning of a model-based estimator for the specific growth rate of Candida utilis.

Authors:  E J November; J F Van Impe
Journal:  Bioprocess Biosyst Eng       Date:  2002-02-09       Impact factor: 3.210

6.  Enhanced production of L-(+)-lactic acid in chemostat by Lactobacillus casei DSM 20011 using ion-exchange resins and cross-flow filtration in a fully automated pilot plant controlled via NIR.

Authors:  A González-Vara Y R; G Vaccari; E Dosi; A Trilli; M Rossi; D Matteuzzi
Journal:  Biotechnol Bioeng       Date:  2000-01-20       Impact factor: 4.530

7.  An on-line approach to monitor ethanol fermentation using FTIR spectroscopy.

Authors:  Ennis L Veale; Joseph Irudayaraj; Ali Demirci
Journal:  Biotechnol Prog       Date:  2007-02-21

8.  Two-dimensional fluorescence spectroscopy: a new tool for on-line bioprocess monitoring.

Authors:  S Marose; C Lindemann; T Scheper
Journal:  Biotechnol Prog       Date:  1998 Jan-Feb

Review 9.  Intelligent sensors in biotechnology. Applications for the monitoring of fermentations and cellular metabolism.

Authors:  J J Vallino; G N Stephanopoulos
Journal:  Ann N Y Acad Sci       Date:  1987       Impact factor: 5.691

10.  Studies of on-line viable yeast biomass with a capacitance biomass monitor.

Authors:  G D Austin; R W Watson; T D'Amore
Journal:  Biotechnol Bioeng       Date:  1994-02-20       Impact factor: 4.530
View more
  17 in total

1.  Dielectric analysis and multi-cell electrofusion of the yeast Pichia pastoris for electrophysiological studies.

Authors:  Ulrich Terpitz; Sebastian Letschert; Ulrich Bonda; Christoph Spahn; Chonglin Guan; Markus Sauer; Ulrich Zimmermann; Ernst Bamberg; Dirk Zimmermann; Vladimir L Sukhorukov
Journal:  J Membr Biol       Date:  2012-08-08       Impact factor: 1.843

2.  Introducing process analytical technology (PAT) in filamentous cultivation process development: comparison of advanced online sensors for biomass measurement.

Authors:  Nanna Petersen Rønnest; Stuart M Stocks; Anna Eliasson Lantz; Krist V Gernaey
Journal:  J Ind Microbiol Biotechnol       Date:  2011-04-02       Impact factor: 3.346

Review 3.  Methods for quantification of growth and productivity in anaerobic microbiology and biotechnology.

Authors:  Lisa-Maria Mauerhofer; Patricia Pappenreiter; Christian Paulik; Arne H Seifert; Sébastien Bernacchi; Simon K-M R Rittmann
Journal:  Folia Microbiol (Praha)       Date:  2018-11-16       Impact factor: 2.099

4.  Two-methods approach to follow up biomass by impedance spectroscopy: Bacillus thuringiensis fermentations as a study model.

Authors:  Adrián Díaz Pacheco; Raul Jacobo Delgado-Macuil; Claudia Patricia Larralde-Corona; Jabel Dinorín-Téllez-Girón; Francisco Martínez Montes; Shirlley E Martinez Tolibia; Victor Eric López Y López
Journal:  Appl Microbiol Biotechnol       Date:  2022-01-17       Impact factor: 4.813

5.  Real-time estimation of biomass and specific growth rate in physiologically variable recombinant fed-batch processes.

Authors:  Patrick Wechselberger; Patrick Sagmeister; Christoph Herwig
Journal:  Bioprocess Biosyst Eng       Date:  2012-11-23       Impact factor: 3.210

6.  Application of an online-biomass sensor in an optical multisensory platform prototype for growth monitoring of biotechnical relevant microorganism and cell lines in single-use shake flasks.

Authors:  Christian Ude; Jörg Schmidt-Hager; Michael Findeis; Gernot Thomas John; Thomas Scheper; Sascha Beutel
Journal:  Sensors (Basel)       Date:  2014-09-17       Impact factor: 3.576

7.  Towards better understanding of an industrial cell factory: investigating the feasibility of real-time metabolic flux analysis in Pichia pastoris.

Authors:  Mariana L Fazenda; Joao M L Dias; Linda M Harvey; Alison Nordon; Ruan Edrada-Ebel; David Littlejohn; Brian McNeil
Journal:  Microb Cell Fact       Date:  2013-05-21       Impact factor: 5.328

8.  An Innovative Optical Sensor for the Online Monitoring and Control of Biomass Concentration in a Membrane Bioreactor System for Lactic Acid Production.

Authors:  Rong Fan; Mehrdad Ebrahimi; Hendrich Quitmann; Matthias Aden; Peter Czermak
Journal:  Sensors (Basel)       Date:  2016-03-21       Impact factor: 3.576

9.  Detecting cell lysis using viscosity monitoring in E. coli fermentation to prevent product loss.

Authors:  Joseph M Newton; Desmond Schofield; Joanna Vlahopoulou; Yuhong Zhou
Journal:  Biotechnol Prog       Date:  2016-05-17

10.  Fed-Batch Production of Bacterial Ghosts Using Dielectric Spectroscopy for Dynamic Process Control.

Authors:  Andrea Meitz; Patrick Sagmeister; Werner Lubitz; Christoph Herwig; Timo Langemann
Journal:  Microorganisms       Date:  2016-03-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.