Mass spectrometry for on-line monitoring of biotechnological processes

Heinzle, Elmar

doi:10.1007/bfb0004425

Cited by 35 publications

(5 citation statements)

References 93 publications

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“…Data were acquired via the in-house software at 0.1 Hz. Metabolic rates were calculated as described previously ( von Meyenburg, 1969a ; Heinzle, 1987 ; Verduyn et al, 1991 ; Marison et al, 1998 ; Murray et al, 2007 ) from the online recorded data. Details and all equations are provided in Appendix A of the supporting information.…”

Section: Methodsmentioning

confidence: 99%

Pulse-Width Modulation of Gene Expression in Budding Yeast

Machné

Sh²,

et al. 2021

Preprint

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Metabolic self-synchronization in yeast cultures highlights significant gaps in our understanding of fundamental cellular processes. The oscillation percolates throughout cellular physiology, and the transcriptome oscillates between expression of genes encoding for biosynthesis and growth, and for catabolism and stress-response. However, long protein half-lives dampen this oscillation of transcript abundances, and putative functions remain elusive. We analyze an RNA-seq time series over 2.5 cycles of a short period respiratory oscillation (≈36 min, strain IFO 0233), preceding a distinct bifurcation of system dynamics. An integrative analysis of metabolic dynamics and co-expression cohorts identifies CO2 and carbonic anhydrase as putative players in oscillation and culture synchronization via a feedforward from catabolic to anabolic metabolism. Differential modulation of the relative duration of biosynthetic and catabolic protein cohort transcription precedes the bifurcation, compatible with a causative role in growth rate-dependent cellular resource allocation. The temporal program of protein-coding transcripts encodes the spatial structure of the cell. We suggest a function of periodic transcription in subcellular pattern formation of the growing cell.

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Section: Methodsmentioning

confidence: 99%

Pulse-Width Modulation of Gene Expression in Budding Yeast

Machné

Sh²,

et al. 2021

Preprint

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“…Mass balancing the reactor in-gas and off-gas allowed calculation of the carbon dioxide evolution rate (CER), the respiratory quotient (RQ) and the oxygen uptake rate (OUR). 28 As the RQ is constant during the whole process CER and OUR were perfectly correlated. Therefore, only CER is used in the following text.…”

Section: Standard Bioreactor Measurements (Sbm)mentioning

confidence: 97%

Online monitoring of a bioprocess based on a multi‐analyser system and multivariate statistical process modelling

Cimander

Mandenius

2002

J of Chemical Tech & Biotech

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Multivariate statistical process control (MSPC) was for the first time applied to analyse data from a bioprocess on-line multi-analyser system consisting of an electronic nose (EN), a near-infrared spectroscope (NIRS), a mass spectrometer (MS) and standard bioreactor probes. One hundred and fifty sensor signals from the electronic nose, 1050 wavelength signals from the NIRS, carbon dioxide evolution rate calculated from mass spectrometer signals and standard bioreactor data (eg amount of substrate fed) were interrogated for their ability to model a bioprocess using MSPC. The models obtained were validated on a recombinant Escherichia coli fed-batch process for tryptophan production. Limiting trajectories were defined in the MSPC models for warning, action, and process experience with respect to biomass and tryptophan concentrations. The results showed the capacity and robustness of MSPC models for monitoring with multi-analysers and allowed a comparison of the different analysers' suitability for this kind of data processing. Furthermore, the results demonstrate that MSPC models provide a functional and versatile framework for coping with large information flows and are also suited to a variety of other bioprocessing monitoring and control tasks.

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“…It is either made with infrared sensors for CO 2 and paramagnetic sensors for O 2 [91] or with quadrupole mass spectrometers [33,49,50]. Infrared and paramagnetic sensors are on the market since many years and widespread in industrial gas analysis.…”

Section: On-line Measurementsmentioning

confidence: 99%