Comparison of noninvasive, in-situ and external monitoring of microbial growth in fed-batch cultivations in Corynebacterium glutamicum

Lira-Parada, Pedro A.; Tuveri, Andrea; Seibold, Gerd M.; Bar, Nadav

doi:10.1016/j.bej.2021.107989

Cited by 6 publications

(2 citation statements)

References 62 publications

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“…Therefore, it is necessary to process the online monitoring data of submarine cables to eliminate the high-frequency capacitive effect of submarine cables. The coaxial capacitor calculation method is used to characterize the capacitance characteristics of each phase of submarine cables and then judge the elimination of high-frequency capacitive effect [13]. The calculation expression of capacitance characteristics of each stage of submarine cable is:…”

Section: Composite Submarine Cable Online Monitoring Data Acquisitionmentioning

confidence: 99%

A Method for Online Monitoring Data Release of Composite Submarine Cable Based on Horizontal Federated Learning

Lao,

Zhang,

Gao

et al. 2023

SCPE

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Conventional online composite submarine cable monitoring data release mostly adopts the method and principle of blockchain dynamic zoning consensus. In the data release process, there are omissions, and it takes a long time to complete the task, which reduces the timeliness of online composite submarine cable monitoring data release. Based on this, a new data publishing method is proposed by introducing horizontal federation learning. First, the online monitoring data of composite submarine cables are collected and preprocessed to eliminate the high-frequency capacitive effect of submarine cables. Secondly, manage composite submarine cable data nodes, transform the status relationship of data nodes, and ensure the quality of subsequent data release. A horizontal federation learning model is established to design the online monitoring data release process. The experimental results show that the new data release method is highly feasible. With the increasing online monitoring data of composite submarine cables, the time required for data release is short, and the timeliness is high.

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Section: Composite Submarine Cable Online Monitoring Data Acquisitionmentioning

confidence: 99%

A Method for Online Monitoring Data Release of Composite Submarine Cable Based on Horizontal Federated Learning

Lao,

Zhang,

Gao

et al. 2023

SCPE

View full text Add to dashboard Cite

show abstract

“…Additionally, DS measurements are also closely related to the cell's physiological state, and several properties like cell concentration (Zitzmann et al, 2018), changes in cell size (Randek & Mandenius, 2020), cell viability (Tibayrenc et al, 2011), and cell death can be estimated (Ma et al, 2019). However, applying this PAT tool can be challenging in the case of bacteria, especially recombinant E. coli , due to the smaller size of the cells (Ehgartner et al, 2015), high signal noise in the capacitance measurements (A. C. L. Horta et al, 2015), and sensitivity of the capacitance probe with aeration and agitation (Lira‐Parada et al, 2021). Therefore, it is essential to acquire reliable capacitance signals from the fed‐batch cultivation of recombinant E. coli producing biotherapeutic protein for its application in estimating the physiological properties of the organism.…”

Section: Introductionmentioning

confidence: 99%

Cole‐Cole modeling of real‐time capacitance data for estimation of cell physiological properties in recombinant Escherichia coli cultivation

Swaminathan

Priyanka

Rathore

et al. 2022

Biotech & Bioengineering

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Real-time estimation of physiological properties of the cell during recombinant protein production would ensure enhanced process monitoring. In this study, we explored the application of dielectric spectroscopy to track the fed-batch phase of recombinant Escherichia coli cultivation for estimating the physiological properties, namely, cell diameter and viable cell concentration (VCC). The scanning capacitance data from the dielectric spectroscopy were pre-processed using moving average. Later, it was modeled through a nonlinear theoretical Cole-Cole model and further solved using a global evolutionary genetic algorithm (GA). The parameters obtained from the GA were further applied for the estimation of the aforementioned physiological properties. The offline cell diameter and cell viability data were obtained from particle size analyzer and flow cytometry measurements to validate the Cole-Cole model. The offline VCC was calculated from the cell viability % from flow cytometry data and dry cell weight concentration. The Cole-Cole model predicted the cell diameter and VCC with an error of 1.03% and 7.72%, respectively. The proposed approach can enable the operator to take real-time process decisions to achieve desired productivity and product quality.

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Membrane inlet—ion mobility spectrometry with automatic spectra evaluation as online monitoring tool for the process control of microalgae cultivation

Cämmerer

Mayer

Schott

et al. 2023

Engineering in Life Sciences

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The cultivation of algae either in open raceway ponds or in closed bioreactors could allow the renewable production of biomass for food, pharmaceutical, cosmetic, or chemical industries. Optimal cultivation conditions are however required to ensure that the production of these compounds is both efficient and economical. Therefore, high-frequency analytical measurements are required to allow timely process control and to detect possible disturbances during algae growth. Such analytical methods are only available to a limited extent. Therefore, we introduced a method for monitoring algae release volatile organic compounds (VOCs) in the headspace above a bioreactor in real time. This method is based on ion mobility spectrometry (IMS) in combination with a membrane inlet (MI). The unique feature of IMS is that complete spectra are detected in real time instead of sum signals. These spectral patterns produced in the ion mobility spectrum were evaluated automatically via principal component analysis (PCA).The detected peak patterns are characteristic for the respective algae culture; allow the assignment of the individual growth phases and reflect the influence of experimental parameters. These results allow for the first time a continuous monitoring of the algae cultivation and thus an early detection of possible disturbances in the biotechnological process.

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Comparison of noninvasive, in-situ and external monitoring of microbial growth in fed-batch cultivations in Corynebacterium glutamicum

Cited by 6 publications

References 62 publications

A Method for Online Monitoring Data Release of Composite Submarine Cable Based on Horizontal Federated Learning

A Method for Online Monitoring Data Release of Composite Submarine Cable Based on Horizontal Federated Learning

Cole‐Cole modeling of real‐time capacitance data for estimation of cell physiological properties in recombinant Escherichia coli cultivation

Membrane inlet—ion mobility spectrometry with automatic spectra evaluation as online monitoring tool for the process control of microalgae cultivation

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