Real‐Time Measurement and Monitoring of Bioprocesses

Sonnleitner, Bernhard

doi:10.1002/9783527697441.ch14

Cited by 2 publications

(4 citation statements)

References 39 publications

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“…Because of the morphological characteristics of hairy roots, representative sampling is not possible. As the direct determination of biomass requires the destruction of all the plant material, current investigations have to be parallelized and carried out with a high number of experimental approaches [11,20,21]. Experiments for screening and optimization are consequently very time-consuming and cost-intensive [11].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the apical growth characteristics of hairy roots using non‐invasive laser speckle contrast imaging

Schott

Bley

Walter

et al. 2021

Engineering in Life Sciences

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Hairy roots are used to produce plant agents and additives. Due to their heterogeneous structure and growth characteristics, it is difficult to determine growthrelated parameters continuously and in real time. Laser speckle contrast analysis is widely used as a non-destructive measurement technique in material testing or in medical technology. This type of analysis is based on the principle that moving objects or particles cause fluctuations in stochastic interference patterns known as speckle patterns. They are formed by the random backscattering of coherent laser light on an optically rough surface. A Laser Speckle Imager, which is well established for speckle studies of hemodynamics, was used for the first time for non-invasive speckle measurements on hairy roots to study dynamic behavior in plant tissue. Based on speckle contrast, a specific flux value was defined to map the dynamic changes in the investigated tissue. Using this method, we were able to predict the formation of lateral strands and to identify the growth zone in the apical root region, as well as dividing it into functional regions. This makes it possible to monitor physiological processes in the apical growth zone in vivo and in real time without labeling the target structures.

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Section: Introductionmentioning

confidence: 99%

Monitoring the apical growth characteristics of hairy roots using non‐invasive laser speckle contrast imaging

Schott

Bley

Walter

et al. 2021

Engineering in Life Sciences

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“…Oxygen is an essential substrate in aerobic bioprocesses. It is considered to be one of the main limiting factors to reach high‐density cell cultures . Given its low solubility in high density cultures, and the varying demand in batch and fed‐batch cultures, an increasing oxygen transfer rate (OTR) over time is required .…”

Section: Introductionmentioning

confidence: 99%

“…Physical methods for k L a estimation are based on dissolved oxygen (DO) concentration changes with time, where dynamic gassing‐in and gassing‐out procedures are still the most commonly used . However, these approaches could become inaccurate if the delay of the measuring system is neglected .…”

Section: Introductionmentioning

confidence: 99%

“…10 Physical methods for k L a estimation are based on dissolved oxygen (DO) concentration changes with time, 2,10 where dynamic gassing-in and gassing-out procedures are still the most commonly used. 1,11,12 However, these approaches could become inaccurate if the delay of the measuring system is neglected. 2,13 -15 This can mainly be attributed to the response time , e , of the electrode's probe, whose dynamic response can be approximated by the following first-order equation: 2,11,14,16…”

Section: Introductionmentioning

confidence: 99%

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Automated algorithm to determinek_Laconsidering system delay

Torres

Cerri

Ribeiro

et al. 2017

J. Chem. Technol. Biotechnol

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BACKGROUND Quantification of the volumetric oxygen transfer coefficient (kLa) is essential to characterize and optimize the oxygen transfer capacity of bioreactors. First order methodologies are commonly used to estimate kLa; however, when the delay of the system cannot be neglected, second‐order methodologies are required for accurate estimations. Second‐order methods are time consuming and hard to reproduce. In this study, we describe an automated algorithm to estimate kLa in conventional bioreactors. RESULTS The simple, four step algorithm developed considers: (1) data smoothing; (2) selection of a high oxygen variation zone; (3) selection of the time period where the instantaneous kLa is constant; and (4) kLa estimation. The algorithm was coded in MATLAB and four adjustable parameters were fixed heuristically using eight response curves with different hydrodynamic conditions (varying viscosity, agitation and aeration). Compared with manual processing, 80 validation experiments showed that the proposed automatic algorithm yields much more reproducible results in a fraction of the manual processing time. CONCLUSION The algorithm is fast and yields, without human intervention, reliable kLa estimations under different hydrodynamic conditions; hence, it is useful for designing high throughput kLa assessment systems to optimize oxygen delivery in bioreactors. © 2016 Society of Chemical Industry

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Real‐Time Measurement and Monitoring of Bioprocesses

Cited by 2 publications

References 39 publications

Monitoring the apical growth characteristics of hairy roots using non‐invasive laser speckle contrast imaging

Monitoring the apical growth characteristics of hairy roots using non‐invasive laser speckle contrast imaging

Automated algorithm to determinek_Laconsidering system delay

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Real‐Time Measurement and Monitoring of Bioprocesses

Cited by 2 publications

References 39 publications

Monitoring the apical growth characteristics of hairy roots using non‐invasive laser speckle contrast imaging

Monitoring the apical growth characteristics of hairy roots using non‐invasive laser speckle contrast imaging

Automated algorithm to determinekLaconsidering system delay

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Automated algorithm to determinek_Laconsidering system delay