Literature DB >> 12325148

Use of at-line and in-situ near-infrared spectroscopy to monitor biomass in an industrial fed-batch Escherichia coli process.

S Alison Arnold1, Rumpai Gaensakoo, Linda M Harvey, Brian McNeil.   

Abstract

One of the key goals in bioprocess monitoring is to achieve real-time knowledge of conditions within the bioreactor, i.e., in-situ. Near-infrared spectroscopy (NIRS), with its ability to carry out multi-analyte quantification rapidly with little sample presentation, is potentially applicable in this role. In the present study, the application of NIRS to a complex, fed-batch industrial E. coli (RV308/PHKY531) process was investigated. This process undergoes a series of temperature changes and is vigorously agitated and aerated. These conditions can pose added challenges to in-situ NIRS. Using the measurement of a key analyte (biomass) as an illustration, the details of the relationship between the at-line and in-situ use of NIRS are considered from the viewpoint of both theory and practical application. This study shows that NIRS can be used both at-line and in-situ in order to achieve good predictive models for biomass. There are particular challenges imposed by in-situ operation (loss of wavelength regions and noise) which meant the need for signal optimisation studies. This showed that whilst the at-line modelling process may provide some useful information for the in-situ process, there were distinct differences. This study shows that the in-situ use of NIRS in a highly challenging matrix (similar to those encountered in current industrial practice) is possible, and thus extends previous works in the area. Copyright 2002 Wiley Periodicals, Inc.

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Year:  2002        PMID: 12325148     DOI: 10.1002/bit.10383

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  13 in total

1.  On-line biomass measurements in bioreactor cultivations: comparison study of two on-line probes.

Authors:  K Kiviharju; K Salonen; U Moilanen; E Meskanen; M Leisola; T Eerikäinen
Journal:  J Ind Microbiol Biotechnol       Date:  2007-08       Impact factor: 3.346

Review 2.  Biomass measurement online: the performance of in situ measurements and software sensors.

Authors:  Kristiina Kiviharju; Kalle Salonen; Ulla Moilanen; Tero Eerikäinen
Journal:  J Ind Microbiol Biotechnol       Date:  2008-04-08       Impact factor: 3.346

3.  Improvement of bioprocess monitoring: development of novel concepts.

Authors:  Franz Clementschitsch; Karl Bayer
Journal:  Microb Cell Fact       Date:  2006-05-22       Impact factor: 5.328

4.  A comparative analysis of industrial Escherichia coli K-12 and B strains in high-glucose batch cultivations on process-, transcriptome- and proteome level.

Authors:  Karoline Marisch; Karl Bayer; Theresa Scharl; Juergen Mairhofer; Peter M Krempl; Karin Hummel; Ebrahim Razzazi-Fazeli; Gerald Striedner
Journal:  PLoS One       Date:  2013-08-08       Impact factor: 3.240

5.  A combined approach of generalized additive model and bootstrap with small sample sets for fault diagnosis in fermentation process of glutamate.

Authors:  Chunbo Liu; Feng Pan; Yun Li
Journal:  Microb Cell Fact       Date:  2016-07-29       Impact factor: 5.328

6.  On-line near-infrared spectroscopy optimizing and monitoring biotransformation process of γ-aminobutyric acid.

Authors:  Guoyu Ding; Yuanyuan Hou; Jiamin Peng; Yunbing Shen; Min Jiang; Gang Bai
Journal:  J Pharm Anal       Date:  2016-02-06

Review 7.  Industrializing Autologous Adoptive Immunotherapies: Manufacturing Advances and Challenges.

Authors:  Rohin K Iyer; Paul A Bowles; Howard Kim; Aaron Dulgar-Tulloch
Journal:  Front Med (Lausanne)       Date:  2018-05-23

8.  Probeless non-invasive near-infrared spectroscopic bioprocess monitoring using microspectrometer technology.

Authors:  Robert Zimmerleiter; Julian Kager; Ramin Nikzad-Langerodi; Vladimir Berezhinskiy; Frank Westad; Christoph Herwig; Markus Brandstetter
Journal:  Anal Bioanal Chem       Date:  2019-12-04       Impact factor: 4.142

9.  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

10.  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
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