Articles de revues : « Bioprocess online monitoring »

1

Büttgenbach, S., M. Michalzik et R. Wilke. « New Approaches to Online Bioprocess Monitoring ». Engineering in Life Sciences 6, n^o 5 (octobre 2006) : 449–54. http://dx.doi.org/10.1002/elsc.200620150.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

2

Theuer, Lorenz, Judit Randek, Stefan Junne, Peter Neubauer, Carl-Fredrik Mandenius et Valerio Beni. « Single-Use Printed Biosensor for L-Lactate and Its Application in Bioprocess Monitoring ». Processes 8, n^o 3 (9 mars 2020) : 321. http://dx.doi.org/10.3390/pr8030321.

Texte intégral

Résumé :

There is a profound need in bioprocess manufacturing for low-cost single-use sensors that allow timely monitoring of critical product and production attributes. One such opportunity is screen-printed enzyme-based electrochemical sensors, which have the potential to enable low-cost online and/or off-line monitoring of specific parameters in bioprocesses. In this study, such a single-use electrochemical biosensor for lactate monitoring is designed and evaluated. Several aspects of its fabrication and use are addressed, including enzyme immobilization, stability, shelf-life and reproducibility. Applicability of the biosensor to off-line monitoring of bioprocesses was shown by testing in two common industrial bioprocesses in which lactate is a critical quality attribute (Corynebacterium fermentation and mammalian Chinese hamster ovary (CHO) cell cultivation). The specific response to lactate of the screen-printed biosensor was characterized by amperometric measurements. The usability of the sensor at typical industrial culture conditions was favorably evaluated and benchmarked with commonly used standard methods (HPLC and enzymatic kits). The single-use biosensor allowed fast and accurate detection of lactate in prediluted culture media used in industrial practice. The design and fabrication of the biosensor could most likely be adapted to several other critical bioprocess analytes using other specific enzymes. This makes this single-use screen-printed biosensor concept a potentially interesting and versatile tool for further applications in bioprocess monitoring.

Styles APA, Harvard, Vancouver, ISO, etc.

3

Panjan, Peter, Vesa Virtanen et Adama Marie Sesay. « Towards microbioprocess control : an inexpensive 3D printed microbioreactor with integrated online real-time glucose monitoring ». Analyst 143, n^o 16 (2018) : 3926–33. http://dx.doi.org/10.1039/c8an00308d.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

4

Constantinou, Antony, et Karen M. Polizzi. « Opportunities for bioprocess monitoring using FRET biosensors ». Biochemical Society Transactions 41, n^o 5 (23 septembre 2013) : 1146–51. http://dx.doi.org/10.1042/bst20130103.

Texte intégral

Résumé :

Bioprocess monitoring is used to track the progress of a cell culture and ensure that the product quality is maintained. Current schemes for monitoring metabolism rely on offline measurements of samples of the extracellular medium. However, in the era of synthetic biology, it is now possible to design and implement biosensors that consist of biological macromolecules and are able to report on the intracellular environment of cells. The use of fluorescent reporter signals allows non-invasive, non-destructive and online monitoring of the culture, which reduces the delay between measurement and any necessary intervention. The present mini-review focuses on protein-based biosensors that utilize FRET as the signal transduction mechanism. The mechanism of FRET, which utilizes the ratio of emission intensity at two wavelengths, has an inherent advantage of being ratiometric, meaning that small differences in the experimental set-up or biosensor expression level can be normalized away. This allows for more reliable quantitative estimation of the concentration of the target molecule. Existing FRET biosensors that are of potential interest to bioprocess monitoring include those developed for primary metabolites, redox potential, pH and product formation. For target molecules where a biosensor has not yet been developed, some candidate binding domains can be identified from the existing biological databases. However, the remaining challenge is to make the process of developing a FRET biosensor faster and more efficient.

Styles APA, Harvard, Vancouver, ISO, etc.

5

Brunner, Vincent, Lukas Klöckner, Roland Kerpes, Dominik Ulrich Geier et Thomas Becker. « Online sensor validation in sensor networks for bioprocess monitoring using swarm intelligence ». Analytical and Bioanalytical Chemistry 412, n^o 9 (8 juillet 2019) : 2165–75. http://dx.doi.org/10.1007/s00216-019-01927-7.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

6

Liu, Weiwen, Ziqi Liang, Yuanyu Wang, Jun Cao, Qiang Zhang, Xiaoping Liu, Yuxing Wang et Chengxi Cao. « A facile online multi-gear capacitively coupled contactless conductivity detector for an automatic and wide range monitoring of high salt in HPLC ». Analyst 147, n^o 3 (2022) : 496–504. http://dx.doi.org/10.1039/d1an02249k.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

7

Franca, Rita D. G., Virgínia C. F. Carvalho, Joana C. Fradinho, Maria A. M. Reis et Nídia D. Lourenço. « Raman Spectrometry as a Tool for an Online Control of a Phototrophic Biological Nutrient Removal Process ». Applied Sciences 11, n^o 14 (18 juillet 2021) : 6600. http://dx.doi.org/10.3390/app11146600.

Texte intégral

Résumé :

Real-time bioprocess monitoring is crucial for efficient operation and effective bioprocess control. Aiming to develop an online monitoring strategy for facilitating optimization, fault detection and decision-making during wastewater treatment in a photo-biological nutrient removal (photo-BNR) process, this study investigated the application of Raman spectroscopy for the quantification of total organic content (TOC), volatile fatty acids (VFAs), carbon dioxide (CO2), ammonia (NH3), nitrate (NO3), phosphate (PO4), total phosphorus (total P), polyhydroxyalkanoates (PHAs), total carbohydrates, total and volatile suspended solids (TSSs and VSSs, respectively). Specifically, partial least squares (PLS) regression models were developed to predict these parameters based on Raman spectra, and evaluated based on a full cross-validation. Through the optimization of spectral pre-processing, Raman shift regions and latent variables, 8 out of the 11 parameters that were investigated—namely TOC, VFAs, CO2, NO3, total P, PHAs, TSSs and VSSs—could be predicted with good quality by the respective Raman-based PLS calibration models, as shown by the high coefficient of determination (R2 > 90.0%) and residual prediction deviation (RPD > 5.0), and relatively low root mean square error of cross-validation. This study showed for the first time the high potential of Raman spectroscopy for the online monitoring of TOC, VFAs, CO2, NO3, total P, PHAs, TSSs and VSSs in a photo-BNR reactor.

Styles APA, Harvard, Vancouver, ISO, etc.

8

Hans, Sebastian, Christian Ulmer, Harini Narayanan, Trygve Brautaset, Niels Krausch, Peter Neubauer, Irmgard Schäffl, Michael Sokolov et Mariano Nicolas Cruz Bournazou. « Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis ». Processes 8, n^o 5 (14 mai 2020) : 582. http://dx.doi.org/10.3390/pr8050582.

Texte intégral

Résumé :

In conditional microbial screening, a limited number of candidate strains are tested at different conditions searching for the optimal operation strategy in production (e.g., temperature and pH shifts, media composition as well as feeding and induction strategies). To achieve this, cultivation volumes of >10 mL and advanced control schemes are required to allow appropriate sampling and analyses. Operations become even more complex when the analytical methods are integrated into the robot facility. Among other multivariate data analysis methods, principal component analysis (PCA) techniques have especially gained popularity in high throughput screening. However, an important issue specific to high throughput bioprocess development is the lack of so-called golden batches that could be used as a basis for multivariate analysis. In this study, we establish and present a program to monitor dynamic parallel cultivations in a high throughput facility. PCA was used for process monitoring and automated fault detection of 24 parallel running experiments using recombinant E. coli cells expressing three different fluorescence proteins as the model organism. This approach allowed for capturing events like stirrer failures and blockage of the aeration system and provided a good signal to noise ratio. The developed application can be easily integrated in existing data- and device-infrastructures, allowing automated and remote monitoring of parallel bioreactor systems.

Styles APA, Harvard, Vancouver, ISO, etc.

9

Sarma, Saurabh Jyoti, Sampa Maiti, Satinder Kaur Brar, Yann Le Bihan, Gerardo Buelna et Mausam Verma. « Low cost semi-continuous bioprocess and online monitoring of hydrogen production from crude glycerol ». RSC Advances 5, n^o 109 (2015) : 89809–16. http://dx.doi.org/10.1039/c5ra14470a.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

10

Gaudreault, Jimmy, Catherine Forest-Nault, Gregory De Crescenzo, Yves Durocher et Olivier Henry. « On the Use of Surface Plasmon Resonance-Based Biosensors for Advanced Bioprocess Monitoring ». Processes 9, n^o 11 (9 novembre 2021) : 1996. http://dx.doi.org/10.3390/pr9111996.

Texte intégral

Résumé :

Biomanufacturers are being incited by regulatory agencies to transition from a quality by testing framework, where they extensively test their product after their production, to more of a quality by design or even quality by control framework. This requires powerful analytical tools and sensors enabling measurements of key process variables and/or product quality attributes during production, preferably in an online manner. As such, the demand for monitoring technologies is rapidly growing. In this context, we believe surface plasmon resonance (SPR)-based biosensors can play a role in enabling the development of improved bioprocess monitoring and control strategies. The SPR technique has been profusely used to probe the binding behavior of a solution species with a sensor surface-immobilized partner in an investigative context, but its ability to detect binding in real-time and without a label has been exploited for monitoring purposes and is promising for the near future. In this review, we examine applications of SPR that are or could be related to bioprocess monitoring in three spheres: biotherapeutics production monitoring, vaccine monitoring, and bacteria and contaminant detection. These applications mainly exploit SPR’s ability to measure solution species concentrations, but performing kinetic analyses is also possible and could prove useful for product quality assessments. We follow with a discussion on the limitations of SPR in a monitoring role and how recent advances in hardware and SPR response modeling could counter them. Mainly, throughput limitations can be addressed by multi-detection spot instruments, and nonspecific binding effects can be alleviated by new antifouling materials. A plethora of methods are available for cell growth and metabolism monitoring, but product monitoring is performed mainly a posteriori. SPR-based biosensors exhibit potential as product monitoring tools from early production to the end of downstream processing, paving the way for more efficient production control. However, more work needs to be done to facilitate or eliminate the need for sample preprocessing and to optimize the experimental protocols.

Styles APA, Harvard, Vancouver, ISO, etc.

11

Cimander, Christian, et Carl-Fredrik Mandenius. « Online monitoring of a bioprocess based on a multi-analyser system and multivariate statistical process modelling ». Journal of Chemical Technology & ; Biotechnology 77, n^o 10 (2002) : 1157–68. http://dx.doi.org/10.1002/jctb.691.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

12

Pretzner, Barbara, Rüdiger W. Maschke, Claudia Haiderer, Gernot T. John, Christoph Herwig et Peter Sykacek. « Predictive Monitoring of Shake Flask Cultures with Online Estimated Growth Models ». Bioengineering 8, n^o 11 (6 novembre 2021) : 177. http://dx.doi.org/10.3390/bioengineering8110177.

Texte intégral

Résumé :

Simplicity renders shake flasks ideal for strain selection and substrate optimization in biotechnology. Uncertainty during initial experiments may, however, cause adverse growth conditions and mislead conclusions. Using growth models for online predictions of future biomass (BM) and the arrival of critical events like low dissolved oxygen (DO) levels or when to harvest is hence important to optimize protocols. Established knowledge that unfavorable metabolites of growing microorganisms interfere with the substrate suggests that growth dynamics and, as a consequence, the growth model parameters may vary in the course of an experiment. Predictive monitoring of shake flask cultures will therefore benefit from estimating growth model parameters in an online and adaptive manner. This paper evaluates a newly developed particle filter (PF) which is specifically tailored to the requirements of biotechnological shake flask experiments. By combining stationary accuracy with fast adaptation to change the proposed PF estimates time-varying growth model parameters from iteratively measured BM and DO sensor signals in an optimal manner. Such proposition of inferring time varying parameters of Gompertz and Logistic growth models is to our best knowledge novel and here for the first time assessed for predictive monitoring of Escherichia coli (E. coli) shake flask experiments. Assessments that mimic real-time predictions of BM and DO levels under previously untested growth conditions demonstrate the efficacy of the approach. After allowing for an initialization phase where the PF learns appropriate model parameters, we obtain accurate predictions of future BM and DO levels and important temporal characteristics like when to harvest. Statically parameterized growth models that represent the dynamics of a specific setting will in general provide poor characterizations of the dynamics when we change strain or substrate. The proposed approach is thus an important innovation for scientists working on strain characterization and substrate optimization as providing accurate forecasts will improve reproducibility and efficiency in early-stage bioprocess development.

Styles APA, Harvard, Vancouver, ISO, etc.

13

Morschett, Holger, Roman Jansen, Christian Neuendorf, Matthias Moch, Wolfgang Wiechert et Marco Oldiges. « Parallelized microscale fed-batch cultivation in online-monitored microtiter plates : implications of media composition and feed strategies for process design and performance ». Journal of Industrial Microbiology & ; Biotechnology 47, n^o 1 (31 octobre 2019) : 35–47. http://dx.doi.org/10.1007/s10295-019-02243-w.

Texte intégral

Résumé :

Abstract Limited throughput represents a substantial drawback during bioprocess development. In recent years, several commercial microbioreactor systems have emerged featuring parallelized experimentation with optical monitoring. However, many devices remain limited to batch mode and do not represent the fed-batch strategy typically applied on an industrial scale. A workflow for 32-fold parallelized microscale cultivation of protein secreting Corynebacterium glutamicum in microtiter plates incorporating online monitoring, pH control and feeding was developed and validated. Critical interference of the essential media component protocatechuic acid with pH measurement was revealed, but was effectively resolved by 80% concentration reduction without affecting biological performance. Microfluidic pH control and feeding (pulsed, constant and exponential) were successfully implemented: Whereas pH control improved performance only slightly, feeding revealed a much higher optimization potential. Exponential feeding with µ = 0.1 h−1 resulted in the highest product titers. In contrast, other performance indicators such as biomass-specific or volumetric productivity resulted in different optimal feeding regimes.

Styles APA, Harvard, Vancouver, ISO, etc.

14

Heux, Stéphanie, Benjamin Philippe et Jean-Charles Portais. « High-Throughput Workflow for Monitoring and Mining Bioprocess Data and Its Application to Inferring the Physiological Response of Escherichia coli to Perturbations ». Applied and Environmental Microbiology 77, n^o 19 (12 août 2011) : 7040–49. http://dx.doi.org/10.1128/aem.05838-11.

Texte intégral

Résumé :

ABSTRACTMiniaturization and high-throughput screening are currently the focus of emerging research areas such as systems biology and systems biotechnology. A fluorescence-based screening assay for the online monitoring of oxygen and pH and a numerical method to mine the resulting online process data are described. The assay employs commercial phosphorescent oxygen- and pH-sensitive probes in standard 48- or 96-well plates on a plate reader equipped with a shaker. In addition to dual parametric analysis of both pH and oxygen in a single well, the assay allows monitoring of growth, as measured by absorbance. Validation of the assay is presented and compared with commercially available plates equipped with optical sensors for oxygen and pH. By using model-free fitting to the readily available online measurements, the length and rate of each phase such as the duration of lag and transition phase or acidification, growth, and oxygen consumption rates are automatically detected. In total, nine physiological descriptors, which can be used for further statistical and comparison analysis, are extracted from the pH, oxygen partial pressure (pO2), and optical density (OD) profiles. The combination of a simple mix-and-measure procedure with an automatic data mining method allows high sample throughput and good reproducibility while providing a physiological state identification and characterization of test cells. As a proof of concept, the utility of the workflow in assessing the physiological response ofEscherichia colito environmental and genetic perturbations is demonstrated.

Styles APA, Harvard, Vancouver, ISO, etc.

15

Pais, Daniel A. M., Paulo R. S. Galrão, Anastasiya Kryzhanska, Jérémie Barbau, Inês A. Isidro et Paula M. Alves. « Holographic Imaging of Insect Cell Cultures : Online Non-Invasive Monitoring of Adeno-Associated Virus Production and Cell Concentration ». Processes 8, n^o 4 (22 avril 2020) : 487. http://dx.doi.org/10.3390/pr8040487.

Texte intégral

Résumé :

The insect cell-baculovirus vector system has become one of the favorite platforms for the expression of viral vectors for vaccination and gene therapy purposes. As it is a lytic system, it is essential to balance maximum recombinant product expression with harvest time, minimizing product exposure to detrimental proteases. With this purpose, new bioprocess monitoring solutions are needed to accurately estimate culture progression. Herein, we used online digital holographic microscopy (DHM) to monitor bioreactor cultures of Sf9 insect cells. Batches of baculovirus-infected Sf9 cells producing recombinant adeno-associated virus (AAV) and non-infected cells were used to evaluate DHM prediction capabilities for viable cell concentration, culture viability and AAV titer. Over 30 cell-related optical attributes were quantified using DHM, followed by a forward stepwise regression to select the most significant (p < 0.05) parameters for each variable. We then applied multiple linear regression to obtain models which were able to predict culture variables with root mean squared errors (RMSE) of 7 × 105 cells/mL, 3% for cell viability and 2 × 103 AAV/cell for 3-fold cross-validation. Overall, this work shows that DHM can be implemented for online monitoring of Sf9 concentration and viability, also permitting to monitor product titer, namely AAV, or culture progression in lytic systems, making it a valuable tool to support the time of harvest decision and for the establishment of controlled feeding strategies.

Styles APA, Harvard, Vancouver, ISO, etc.

16

Wieser, Wiviane, Antony Ali Assaf, Benjamin Le Gouic, Emmanuel Dechandol, Laura Herve, Thomas Louineau, Omar Hussein Dib et al. « Development and Application of an Automated Raman Sensor for Bioprocess Monitoring : From the Laboratory to an Algae Production Platform ». Sensors 23, n^o 24 (11 décembre 2023) : 9746. http://dx.doi.org/10.3390/s23249746.

Texte intégral

Résumé :

Microalgae provide valuable bio-components with economic and environmental benefits. The monitoring of microalgal production is mostly performed using different sensors and analytical methods that, although very powerful, are limited to qualified users. This study proposes an automated Raman spectroscopy-based sensor for the online monitoring of microalgal production. For this purpose, an in situ system with a sampling station was made of a light-tight optical chamber connected to a Raman probe. Microalgal cultures were routed to this chamber by pipes connected to pumps and valves controlled and programmed by a computer. The developed approach was evaluated on Parachlorella kessleri under different culture conditions at a laboratory and an industrial algal platform. As a result, more than 4000 Raman spectra were generated and analysed by statistical methods. These spectra reflected the physiological state of the cells and demonstrate the ability of the developed sensor to monitor the physiology of microalgal cells and their intracellular molecules of interest in a complex production environment.

Styles APA, Harvard, Vancouver, ISO, etc.

17

Berbegal, Carmen, Iuliia Khomenko, Pasquale Russo, Giuseppe Spano, Mariagiovanna Fragasso, Franco Biasioli et Vittorio Capozzi. « PTR-ToF-MS for the Online Monitoring of Alcoholic Fermentation in Wine : Assessment of VOCs Variability Associated with Different Combinations of Saccharomyces/Non-Saccharomyces as a Case-Study ». Fermentation 6, n^o 2 (26 mai 2020) : 55. http://dx.doi.org/10.3390/fermentation6020055.

Texte intégral

Résumé :

The management of the alcoholic fermentation (AF) in wine is crucial to shaping product quality. Numerous variables (e.g., grape varieties, yeast species/strains, technological parameters) can affect the performances of this fermentative bioprocess. The fact that these variables are often interdependent, with a high degree of interaction, leads to a huge ‘oenological space’ associated with AF that scientists and professionals have explored to obtain the desired quality standards in wine and to promote innovation. This challenge explains the high interest in approaches tested to monitor this bioprocess including those using volatile organic compounds (VOCs) as target molecules. Among direct injection mass spectrometry approaches, no study has proposed an untargeted online investigation of the diversity of volatiles associated with the wine headspace. This communication proposed the first application of proton-transfer reaction-mass spectrometry coupled to a time-of-flight mass analyzer (PTR-ToF-MS) to follow the progress of AF and evaluate the impact of the different variables of wine quality. As a case study, the assessment of VOC variability associated with different combinations of Saccharomyces/non-Saccharomyces was selected. The different combinations of microbial resources in wine are among the main factors susceptible to influencing the content of VOCs associated with the wine headspaces. In particular, this investigation explored the effect of multiple combinations of two Saccharomyces strains and two non-Saccharomyces strains (belonging to the species Metschnikowia pulcherrima and Torulaspora delbrueckii) on the content of VOCs in wine, inoculated both in commercial grape juice and fresh grape must. The results demonstrated the possible exploitation of non-invasive PTR-ToF-MS monitoring to explore, using VOCs as biomarkers, (i) the huge number of variables influencing AF in wine, and (ii) applications of single/mixed starter cultures in wine. Reported preliminary findings underlined the presence of different behaviors on grape juice and on must, respectively, and confirmed differences among the single yeast strains ‘volatomes’. It was one of the first studies to include the simultaneous inoculation on two non-Saccharomyces species together with a S. cerevisiae strain in terms of VOC contribution. Among the other outcomes, evidence suggests that the addition of M. pulcherrima to the coupled S. cerevisiae/T. delbrueckii can modify the global release of volatiles as a function of the characteristics of the fermented matrix.

Styles APA, Harvard, Vancouver, ISO, etc.

18

Alexander, Ronald, Gilson Campani, San Dinh et Fernando V. Lima. « Challenges and Opportunities on Nonlinear State Estimation of Chemical and Biochemical Processes ». Processes 8, n^o 11 (15 novembre 2020) : 1462. http://dx.doi.org/10.3390/pr8111462.

Texte intégral

Résumé :

This paper provides an overview of nonlinear state estimation techniques along with a discussion on the challenges and opportunities for future work in the field. Emphasis is given on Bayesian methods such as moving horizon estimation (MHE) and extended Kalman filter (EKF). A discussion on Bayesian, deterministic, and hybrid methods is provided and examples of each of these methods are listed. An approach for nonlinear state estimation design is included to guide the selection of the nonlinear estimator by the user/practitioner. Some of the current challenges in the field are discussed involving covariance estimation, uncertainty quantification, time-scale multiplicity, bioprocess monitoring, and online implementation. A case study in which MHE and EKF are applied to a batch reactor system is addressed to highlight the challenges of these technologies in terms of performance and computational time. This case study is followed by some possible opportunities for state estimation in the future including the incorporation of more efficient optimization techniques and development of heuristics to streamline the further adoption of MHE.

Styles APA, Harvard, Vancouver, ISO, etc.

19

Berg, Christoph, Nina Ihling, Maurice Finger, Olivier Paquet-Durand, Bernd Hitzmann et Jochen Büchs. « Online 2D Fluorescence Monitoring in Microtiter Plates Allows Prediction of Cultivation Parameters and Considerable Reduction in Sampling Efforts for Parallel Cultivations of Hansenula polymorpha ». Bioengineering 9, n^o 9 (4 septembre 2022) : 438. http://dx.doi.org/10.3390/bioengineering9090438.

Texte intégral

Résumé :

Multi-wavelength (2D) fluorescence spectroscopy represents an important step towards exploiting the monitoring potential of microtiter plates (MTPs) during early-stage bioprocess development. In combination with multivariate data analysis (MVDA), important process information can be obtained, while repetitive, cost-intensive sample analytics can be reduced. This study provides a comprehensive experimental dataset of online and offline measurements for batch cultures of Hansenula polymorpha. In the first step, principal component analysis (PCA) was used to assess spectral data quality. Secondly, partial least-squares (PLS) regression models were generated, based on spectral data of two cultivation conditions and offline samples for glycerol, cell dry weight, and pH value. Thereby, the time-wise resolution increased 12-fold compared to the offline sampling interval of 6 h. The PLS models were validated using offline samples of a shorter sampling interval. Very good model transferability was shown during the PLS model application to the spectral data of cultures with six varying initial cultivation conditions. For all the predicted variables, a relative root-mean-square error (RMSE) below 6% was obtained. Based on the findings, the initial experimental strategy was re-evaluated and a more practical approach with minimised sampling effort and elevated experimental throughput was proposed. In conclusion, the study underlines the high potential of multi-wavelength (2D) fluorescence spectroscopy and provides an evaluation workflow for PLS modelling in microtiter plates.

Styles APA, Harvard, Vancouver, ISO, etc.

20

Koch, Cosima, Andreas E. Posch, Christoph Herwig et Bernhard Lendl. « Comparison of Fiber Optic and Conduit Attenuated Total Reflection (ATR) Fourier Transform Infrared (FT-IR) Setup for In-Line Fermentation Monitoring ». Applied Spectroscopy 70, n^o 12 (19 novembre 2016) : 1965–73. http://dx.doi.org/10.1177/0003702816662618.

Texte intégral

Résumé :

The performance of a fiber optic and an optical conduit in-line attenuated total reflection mid-infrared (IR) probe during in situ monitoring of Penicillium chrysogenum fermentation were compared. The fiber optic probe was connected to a sealed, portable, Fourier transform infrared (FT-IR) process spectrometer via a plug-and-play interface. The optical conduit, on the other hand, was connected to a FT-IR process spectrometer via a knuckled probe with mirrors that had to be adjusted prior to each fermentation, which were purged with dry air. Penicillin V (PenV) and its precursor phenoxyacetic acid (POX) concentrations were determined by online high-performance liquid chromatography and the obtained concentrations were used as reference to build partial least squares regression models. Cross-validated root-mean-square errors of prediction were found to be 0.2 g L−1 (POX) and 0.19 g L−1 (PenV) for the fiber optic setup and 0.17 g L−1 (both POX and PenV) for the conduit setup. Higher noise-levels and spectrum-to-spectrum variations of the fiber optic setup lead to higher noise of estimated (i.e., unknown) POX and PenV concentrations than was found for the conduit setup. It seems that trade-off has to be made between ease of handling (fiber optic setup) and measurement accuracy (optical conduit setup) when choosing one of these systems for bioprocess monitoring.

Styles APA, Harvard, Vancouver, ISO, etc.

21

Silalahi, Sari Muthia, Dedy Anwar et Juli Yanti Damanik. « Lecturers’ checklist instrument to monitor students’ understanding in distance learning ». Journal of Education and Learning (EduLearn) 16, n^o 4 (1 novembre 2022) : 464–71. http://dx.doi.org/10.11591/edulearn.v16i4.20485.

Texte intégral

Résumé :

This paper aimed at exploring the results of participant self monitoring using a checklist instrument in distance learning with flipped classroom setting. The participants were 11 lecturers of Bioprocess Engineering Study Program at Institut Teknologi Del (IT Del), Indonesia. The objective of the checklist instrument was for the lecturers to monitor their students’ understanding about the lessons given each week. The data generated from the instrument was analysed descriptively. The results found that pre-class, in-class and out-class are important parts of learning in flipped classroom setting. The data showed that 56% of students achieved good understading of the knowledge taught by their lecturers. The same idea as in-class, attendance checking and interaction between students and lecturers had a key factor in the learning process. It was found that students’ understanding increased by 20% (very good), 62% (good) and 18% (moderate) through questions and answers, discussions, and tests at the end of class. Those were the modes of interactions that had been done in class. In line with an out-class checklist, giving assignments and feedback could improve students understanding into the level of very good (61%), good (27%) and sufficient (10%). with using a checklist tool, participants in this study self-monitored their progress in a flipped classroom while taking distance learning courses online to improve the quality of their class.

Styles APA, Harvard, Vancouver, ISO, etc.

22

Surowiec, Izabella, et Jochen Scholz. « Capacitance sensors in cell-based bioprocesses : online monitoring of biomass and more ». Current Opinion in Biotechnology 83 (octobre 2023) : 102979. http://dx.doi.org/10.1016/j.copbio.2023.102979.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

23

König, J. C., T. Steinwedel, D. Solle, M. Findeis, G. T. John, T. Scheper et S. Beutel. « Development and characterisation of a new fluorescence sensor for online monitoring of bioprocesses ». New Biotechnology 44 (octobre 2018) : S22. http://dx.doi.org/10.1016/j.nbt.2018.05.146.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

24

König, Jan C., Tobias Steinwedel, Dörte Solle, Patrick Lindner, Ingo de Vries, Thorleif Hentrop, Michael Findeis, Gernot T. John, Thomas Scheper et Sascha Beutel. « Development and characterisation of a new fluorescence sensor for online monitoring of bioprocesses ». Journal of Sensors and Sensor Systems 7, n^o 2 (8 août 2018) : 461–67. http://dx.doi.org/10.5194/jsss-7-461-2018.

Texte intégral

Résumé :

Abstract. Fluorescence spectroscopy is a highly sensitive and non-invasive technique for the identification of characteristic process states and for the online monitoring of substrate and product concentrations. Nevertheless, fluorescence sensors are mainly used in academic studies and are not well implemented for monitoring of industrial production processes. In this work, we present a newly developed robust online fluorescence sensor that facilitates the analysis of fluorescence measurements. The set-up of the sensor was miniaturised and realised without any moveable part to be robust enough for application in technical environments. It was constructed to measure only the three most important biologic fluorophores (tryptophan, NADH and FAD/FMN), resulting in a significant data reduction compared to conventional a 2-D fluorescence spectrometer. The sensor performance was evaluated by calibration curves and selectivity tests. The measuring ranges were determined as 0.5–50 µmol L−1 for NADH and 0.0025–7.5 µmol L−1 for BSA and riboflavin. Online monitoring of batch cultivations of wild-type Escherichia coli K1 in a 10 L bioreactor scale were performed. The data sets were analysed using principal component analysis and partial least square regression. The recorded fluorescence data were successfully used to predict the biomass of an independent cultivation (RMSEP 4.6 %).

Styles APA, Harvard, Vancouver, ISO, etc.

25

Krause, D., M. A. Hussein et T. Becker. « Online monitoring of bioprocesses via multivariate sensor prediction within swarm intelligence decision making ». Chemometrics and Intelligent Laboratory Systems 145 (juillet 2015) : 48–59. http://dx.doi.org/10.1016/j.chemolab.2015.04.012.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

26

Hille, Rubin, Heiko Brandt, Vera Colditz, Jens Classen, Lukas Hebing, Matthäus Langer, Steffen Kreye et al. « Application of Model-based Online Monitoring and Robust Optimizing Control to Fed-Batch Bioprocesses ». IFAC-PapersOnLine 53, n^o 2 (2020) : 16846–51. http://dx.doi.org/10.1016/j.ifacol.2020.12.1204.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

27

Bayer, Benjamin, Andreas Maccani, Johanna Jahn, Mark Duerkop, Ewald Kapeller, Robert Pletzenauer, Barbara Kraus, Gerald Striedner et Juan A. Hernandez Bort. « Proton-transfer-reaction mass spectrometry (PTR-MS) for online monitoring of glucose depletion and cell concentrations in HEK 293 gene therapy processes ». Biotechnology Letters 44, n^o 1 (12 novembre 2021) : 77–88. http://dx.doi.org/10.1007/s10529-021-03205-y.

Texte intégral

Résumé :

Abstract Objectives The applicability of proton-transfer-reaction mass spectrometry (PTR-MS) as a versatile online monitoring tool to increase consistency and robustness for recombinant adeno-associated virus (rAAV) producing HEK 293 bioprocesses was evaluated. We present a structured workflow to extract process relevant information from PTR-MS data. Results Reproducibility of volatile organic compound (VOC) measurements was demonstrated with spiking experiments and the process data sets used for applicability evaluation consisted of HEK 293 cell culture triplicates with and without transfection. The developed data workflow enabled the identification of six VOCs, of which two were used to develop a soft sensor providing better real-time estimates than the conventional capacitance sensor. Acetaldehyde, another VOC, provides online process information about glucose depletion that can directly be used for process control purposes. Conclusions The potential of PTR-MS for HEK 293 cell culture monitoring has been shown. VOC data derived information can be used to develop soft sensors and to directly set up new process control strategies.

Styles APA, Harvard, Vancouver, ISO, etc.

28

Sinner, Peter, Marlene Stiegler, Christoph Herwig et Julian Kager. « Noninvasive online monitoring of Corynebacterium glutamicum fed-batch bioprocesses subject to spent sulfite liquor raw material uncertainty ». Bioresource Technology 321 (février 2021) : 124395. http://dx.doi.org/10.1016/j.biortech.2020.124395.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

29

Haby, Benjamin, Sebastian Hans, Emmanuel Anane, Annina Sawatzki, Niels Krausch, Peter Neubauer et Mariano Nicolas Cruz Bournazou. « Integrated Robotic Mini Bioreactor Platform for Automated, Parallel Microbial Cultivation With Online Data Handling and Process Control ». SLAS TECHNOLOGY : Translating Life Sciences Innovation 24, n^o 6 (9 juillet 2019) : 569–82. http://dx.doi.org/10.1177/2472630319860775.

Texte intégral

Résumé :

During process development, the experimental search space is defined by the number of experiments that can be performed in specific time frames but also by its sophistication (e.g., inputs, sensors, sampling frequency, analytics). High-throughput liquid-handling stations can perform a large number of automated experiments in parallel. Nevertheless, the experimental data sets that are obtained are not always relevant for development of industrial bioprocesses, leading to a high rate of failure during scale-up. We present an automated mini bioreactor platform that enables parallel cultivations in the milliliter scale with online monitoring and control, well-controlled conditions, and advanced feeding strategies similar to industrial processes. The combination of two liquid handlers allows both automated mini bioreactor operation and at-line analysis in parallel. A central database enables end-to-end data exchange and fully integrated device and process control. A model-based operation algorithm allows for the accurate performance of complex cultivations for scale-down studies and strain characterization via optimal experimental redesign, significantly increasing the reliability and transferability of data throughout process development. The platform meets the tradeoff between experimental throughput and process control and monitoring comparable to laboratory-scale bioreactors.

Styles APA, Harvard, Vancouver, ISO, etc.

30

Romano, Andrea, Vittorio Capozzi, Iuliia Khomenko et Franco Biasioli. « Advances in the Application of Direct Injection Mass Spectrometry Techniques to the Analysis of Grape, Wine and Other Alcoholic Beverages ». Molecules 28, n^o 22 (17 novembre 2023) : 7642. http://dx.doi.org/10.3390/molecules28227642.

Texte intégral

Résumé :

Direct injection mass spectrometry (DIMS) entails the direct introduction of a gaseous sample into a mass analyser without prior treatment or separation. DIMS techniques offer the opportunity to monitor processes in time, with limits of detection as low as 0.5 parts per trillion in volume (for a 1 s measurement time) while providing results with high informational content. This review provides insight into current and promising future developments of DIMS in the analysis of grape, wine and other alcoholic beverages. Thanks to its unique characteristics, DIMS allows the online monitoring of volatile organic compounds (VOCs) released by grapes during fermentative bioprocesses or by wine directly from the glass headspace or during drinking. A DIMS-based approach can also be adopted to perform quality control and high-throughput analysis, allowing us to characterise the volatile profile of large sample sets rapidly and in a comprehensive fashion. Furthermore, DIMS presents several characteristic elements of green analytical chemistry approaches, catalysing an interest linked to the development of sustainable paths in research and development activities in the field of viticulture and oenology.

Styles APA, Harvard, Vancouver, ISO, etc.

31

« Advanced bioprocess monitoring via online PTR-MS ». Biotechnology and Bioengineering 109, n^o 12 (25 octobre 2012) : fmvi. http://dx.doi.org/10.1002/bit.24333.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

32

Caño De Las Heras, Simoneta, Carina L. Gargalo, Fiammetta Caccavale, Krist V. Gernaey et Ulrich Krühne. « NyctiDB : A non-relational bioprocesses modeling database supported by an ontology ». Frontiers in Chemical Engineering 4 (14 décembre 2022). http://dx.doi.org/10.3389/fceng.2022.1036867.

Texte intégral

Résumé :

Strategies to exploit and enable the digitalization of industrial processes are on course to become game-changers in optimizing (bio)chemical facilities. To achieve this, these industries face an increasing need for process models and, as importantly, an efficient way to store the models and data/information. Therefore, this work proposes developing an online information storage system that can facilitate the reuse and expansion of process models and make them available to the digitalization cycle. This system is named NyctiDB, and it is a novel non-relational database coupled with a bioprocess ontology. The ontology supports the selection and classification of bioprocess models focused information, while the database is in charge of the online storage of said information. Through a series of online collections, NyctiDB contains essential knowledge for the design, monitoring, control, and optimization of a bioprocess based on its mathematical model. Once NyctiDB has been implemented, its applicability and usefulness are demonstrated through two applications. Application A shows how NyctiDB is integrated inside the software architecture of an online educational bioprocess simulator. This implies that NyctiDB provides the information for the visualization of different bioprocess behaviours and the modifications of the models in the software. Moreover, the information related to the parameters and conditions of each model is used to support the users’ understanding of the process. Additionally, application B illustrates that NyctiDB can be used as AI enabler to further the research in this field through open-source and reliable data. This can, in fact, be used as the information source for the AI frameworks when developing, for example, hybrid models or smart expert systems for bioprocesses. Henceforth, this work aims to provide a blueprint on how to collect bioprocess modeling information and connect it to facilitate and empower the Internet-of-Things paradigm and the digitalization of the biomanufacturing industries.

Styles APA, Harvard, Vancouver, ISO, etc.

33

Chandarana, Chandni, Jyoti Suthar et Aman Goyel. « Spectrophotometric Techniques : A Versatile Tool for Bioprocess Monitoring ». Current Biotechnology 09 (25 novembre 2020). http://dx.doi.org/10.2174/2211550109999201125202420.

Texte intégral

Résumé :

Abstract:: Online analysis of bioprocesses by analytical spectroscopic methods is used to produce fast sample analysis. Bio-transformations are directly controlled by continuous process. It improves management of quality. Various methods for online analysis have been reported. This review article majorly covers applications for infrared (NIR and MIR); Fluorescence; Ultraviolet (UV) Spectroscopy and Raman Spectroscopy for online monitoring of bioprocesses.

Styles APA, Harvard, Vancouver, ISO, etc.

34

Haberkorn, Iris, Cosima L. Off, Michael D. Besmer, Leandro Buchmann et Alexander Mathys. « Automated Online Flow Cytometry Advances Microalgal Ecosystem Management as in situ, High-Temporal Resolution Monitoring Tool ». Frontiers in Bioengineering and Biotechnology 9 (23 mars 2021). http://dx.doi.org/10.3389/fbioe.2021.642671.

Texte intégral

Résumé :

Microalgae are emerging as a next-generation biotechnological production system in the pharmaceutical, biofuel, and food domain. The economization of microalgal biorefineries remains a main target, where culture contamination and prokaryotic upsurge are main bottlenecks to impair culture stability, reproducibility, and consequently productivity. Automated online flow cytometry (FCM) is gaining momentum as bioprocess optimization tool, as it allows for spatial and temporal landscaping, real-time investigations of rapid microbial processes, and the assessment of intrinsic cell features. So far, automated online FCM has not been applied to microalgal ecosystems but poses a powerful technology for improving the feasibility of microalgal feedstock production through in situ, real-time, high-temporal resolution monitoring. The study lays the foundations for an application of automated online FCM implying far-reaching applications to impel and facilitate the implementation of innovations targeting at microalgal bioprocesses optimization. It shows that emissions collected on the FL1/FL3 fluorescent channels, harnessing nucleic acid staining and chlorophyll autofluorescence, enable a simultaneous assessment (quantitative and diversity-related) of prokaryotes and industrially relevant phototrophic Chlorella vulgaris in mixed ecosystems of different complexity over a broad concentration range (2.2–1,002.4 cells ⋅μL–1). Automated online FCM combined with data analysis relying on phenotypic fingerprinting poses a powerful tool for quantitative and diversity-related population dynamics monitoring. Quantitative data assessment showed that prokaryotic growth phases in engineered and natural ecosystems were characterized by different growth speeds and distinct peaks. Diversity-related population monitoring based on phenotypic fingerprinting indicated that prokaryotic upsurge in mixed cultures was governed by the dominance of single prokaryotic species. Automated online FCM is a powerful tool for microalgal bioprocess optimization owing to its adaptability to myriad phenotypic assays and its compatibility with various cultivation systems. This allows advancing bioprocesses associated with both microalgal biomass and compound production. Hence, automated online FCM poses a viable tool with applications across multiple domains within the biobased sector relying on single cell–based value chains.

Styles APA, Harvard, Vancouver, ISO, etc.

35

Hasan, Hasibul, Vikash Kumar, Xudong Ge, Chad Sundberg, Christopher Slaughter et Govind Rao. « An automatic glucose monitoring system based on periplasmic binding proteins for online bioprocess monitoring ». Biosensors and Bioelectronics, février 2024, 116138. http://dx.doi.org/10.1016/j.bios.2024.116138.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

36

Kinet, Romain, Anne Richelle, Michael Colle, Didier Demaegd, Moritz von Stosch, Matthew Sanders, Hannah Sehrt, Frank Delvigne et Philippe Goffin. « Giving the cells what they need when they need it : Biosensor‐based feeding control ». Biotechnology and Bioengineering, 23 janvier 2024. http://dx.doi.org/10.1002/bit.28657.

Texte intégral

Résumé :

Abstract“Giving the cells exactly what they need, when they need it” is the core idea behind the proposed bioprocess control strategy: operating bioprocess based on the physiological behavior of the microbial population rather than exclusive monitoring of environmental parameters. We are envisioning to achieve this through the use of genetically encoded biosensors combined with online flow cytometry (FCM) to obtain a time‐dependent “physiological fingerprint” of the population. We developed a biosensor based on the glnA promoter (glnAp) and applied it for monitoring the nitrogen‐related nutritional state of Escherichia coli. The functionality of the biosensor was demonstrated through multiple cultivation runs performed at various scales—from microplate to 20 L bioreactor. We also developed a fully automated bioreactor—FCM interface for on‐line monitoring of the microbial population. Finally, we validated the proposed strategy by performing a fed‐batch experiment where the biosensor signal is used as the actuator for a nitrogen feeding feedback control. This new generation of process control, —based on the specific needs of the cells, —opens the possibility of improving process development on a short timescale and therewith, the robustness and performance of fermentation processes.

Styles APA, Harvard, Vancouver, ISO, etc.

37

Dzurendova, Simona, Pernille Margrethe Olsen, Dana Byrtusová, Valeria Tafintseva, Volha Shapaval, Svein Jarle Horn, Achim Kohler, Martin Szotkowski, Ivana Marova et Boris Zimmermann. « Raman spectroscopy online monitoring of biomass production, intracellular metabolites and carbon substrates during submerged fermentation of oleaginous and carotenogenic microorganisms ». Microbial Cell Factories 22, n^o 1 (18 décembre 2023). http://dx.doi.org/10.1186/s12934-023-02268-y.

Texte intégral

Résumé :

Abstract Background Monitoring and control of both growth media and microbial biomass is extremely important for the development of economical bioprocesses. Unfortunately, process monitoring is still dependent on a limited number of standard parameters (pH, temperature, gasses etc.), while the critical process parameters, such as biomass, product and substrate concentrations, are rarely assessable in-line. Bioprocess optimization and monitoring will greatly benefit from advanced spectroscopy-based sensors that enable real-time monitoring and control. Here, Fourier transform (FT) Raman spectroscopy measurement via flow cell in a recirculatory loop, in combination with predictive data modeling, was assessed as a fast, low-cost, and highly sensitive process analytical technology (PAT) system for online monitoring of critical process parameters. To show the general applicability of the method, submerged fermentation was monitored using two different oleaginous and carotenogenic microorganisms grown on two different carbon substrates: glucose fermentation by yeast Rhodotorula toruloides and glycerol fermentation by marine thraustochytrid Schizochytrium sp. Additionally, the online FT-Raman spectroscopy approach was compared with two at-line spectroscopic methods, namely FT-Raman and FT-infrared spectroscopies in high throughput screening (HTS) setups. Results The system can provide real-time concentration data on carbon substrate (glucose and glycerol) utilization, and production of biomass, carotenoid pigments, and lipids (triglycerides and free fatty acids). Robust multivariate regression models were developed and showed high level of correlation between the online FT-Raman spectral data and reference measurements, with coefficients of determination (R2) in the 0.94–0.99 and 0.89–0.99 range for all concentration parameters of Rhodotorula and Schizochytrium fermentation, respectively. The online FT-Raman spectroscopy approach was superior to the at-line methods since the obtained information was more comprehensive, timely and provided more precise concentration profiles. Conclusions The FT-Raman spectroscopy system with a flow measurement cell in a recirculatory loop, in combination with prediction models, can simultaneously provide real-time concentration data on carbon substrate utilization, and production of biomass, carotenoid pigments, and lipids. This data enables monitoring of dynamic behaviour of oleaginous and carotenogenic microorganisms, and thus can provide critical process parameters for process optimization and control. Overall, this study demonstrated the feasibility of using FT-Raman spectroscopy for online monitoring of fermentation processes.

Styles APA, Harvard, Vancouver, ISO, etc.

38

Rehfeld, Johanna S., Louis M. Kuhnke, Christian Ude, Gernot T. John et Sascha Beutel. « Investigation and evaluation of a 3D‐printed optical modified cultivation vessel for improved scattered light measurement of biotechnologically relevant organisms ». Engineering in Life Sciences, 23 août 2023. http://dx.doi.org/10.1002/elsc.202300204.

Texte intégral

Résumé :

AbstractIn the field of bioprocess development miniaturization, parallelization and flexibility play a key role reducing costs and time. To precisely meet these requirements, additive manufacturing (3D‐printing) is an ideal technology. 3D‐printing enables rapid prototyping and cost‐effective fabrication of individually designed devices with complex geometries on demand. For successful bioprocess development, monitoring of process‐relevant parameters, such as pH, dissolved oxygen (DO), and biomass, is crucial. Online monitoring is preferred as offline sampling is time‐consuming and leads to loss of information. In this study, 3D‐printed cultivation vessels with optical prisms are evaluated for the use in upstream processes of different industrially relevant microorganisms and cell lines. It was shown, that the 3D‐printed optically modified well (OMW) is of benefit for a wide range of biotechnologically relevant microorganisms and even for mammalian suspension cells. Evaluation tests with Escherichia coli, Bacillus subtilis, Saccharomyces cerevisiae, and Chinese hamster ovary (CHO) cells were performed, providing highly reproducible results. Growth behavior of OMW cultures was comparable to behavior of shake flask (SF) cultivations and the signal to noise ratio in online biomass measurement was shown to be reduced up to 95.8% by using the OMW. Especially the cultivation phases with low turbidity respective optical densities below 1.0 rel.AU could be monitored accurately for the first time. Furthermore, it was demonstrated that the 3D‐printed optics are transferable to different well geometries and sizes, enabling efficient biomass monitoring for individual requirements with tailor‐made 3D‐printed cultivation vessels in small scale.

Styles APA, Harvard, Vancouver, ISO, etc.

39

Pastoors, Johannes, Alexander Deitert, Carina Michel, Karsten Günster, Maurice Finger, Jordy Hofstede, Jeff Deischter et al. « In situ adsorption of itaconic acid from fermentations of Ustilago cynodontis improves bioprocess efficiency ». Biotechnology for Biofuels and Bioproducts 16, n^o 1 (26 novembre 2023). http://dx.doi.org/10.1186/s13068-023-02433-w.

Texte intégral

Résumé :

Abstract Background Reducing the costs of biorefinery processes is a crucial step in replacing petrochemical products by sustainable, biotechnological alternatives. Substrate costs and downstream processing present large potential for improvement of cost efficiency. The implementation of in situ adsorption as an energy-efficient product recovery method can reduce costs in both areas. While selective product separation is possible at ambient conditions, yield-limiting effects, as for example product inhibition, can be reduced in an integrated process. Results An in situ adsorption process was integrated into the production of itaconic acid with Ustilago cynodontis IAmax, as an example of a promising biorefinery process. A suitable feed strategy was developed to enable efficient production and selective recovery of itaconic acid by maintaining optimal glucose concentrations. Online monitoring via Raman spectroscopy was implemented to enable a first process control and understand the interactions of metabolites with the adsorbent. In the final, integrated bioprocess, yield, titre, and space–time yield of the fermentation process were increased to values of 0.41 gIA/gGlucose, 126.5 gIA/L and 0.52 gIA/L/h. This corresponds to an increase of up to 30% in comparison to the first extended batch experiment without in situ product removal. Itaconic acid was recovered with a purity of at least 95% and high concentrations above 300 g/L in the eluate. Conclusion Integration of product separation via adsorption into the bioprocess was successfully conducted and improved the efficiency of itaconic acid production. Raman spectroscopy was proven to be a reliable tool for online monitoring of various metabolites and facilitated design and validation of the complex separation and feed process. The general process concept can be transferred to the production of various similar bioproducts, expanding the tool kit for design of innovative biorefinery processes.

Styles APA, Harvard, Vancouver, ISO, etc.

40

Salmela, Milla, Meri Mäkelä, Changshuo Liu, Markus Karjalainen, Anton Kontunen, Suvi Santala, Antti Roine et Ville Santala. « Online Monitoring of Volatile Products of Bioprocess Using Differential Ion Mobility─A Proof of Concept with 1-Undecene ». Industrial & ; Engineering Chemistry Research, 9 avril 2024. http://dx.doi.org/10.1021/acs.iecr.3c04188.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

41

Lüchtrath, Clara, Felix Lamping, Sven Hansen, Maurice Finger, Jørgen Magnus et Jochen Büchs. « Diffusion-driven fed-batch fermentation in perforated ring flasks ». Biotechnology Letters, 17 mai 2024. http://dx.doi.org/10.1007/s10529-024-03493-0.

Texte intégral

Résumé :

Abstract Purpose Simultaneous membrane-based feeding and monitoring of the oxygen transfer rate shall be introduced to the newly established perforated ring flask, which consists of a cylindrical glass flask with an additional perforated inner glass ring, for rapid bioprocess development. Methods A 3D-printed adapter was constructed to enable monitoring of the oxygen transfer rate in the perforated ring flasks. Escherichia coli experiments in batch were performed to validate the adapter. Fed-batch experiments with different diffusion rates and feed solutions were performed. Results The adapter and the performed experiments allowed a direct comparison of the perforated ring flasks with Erlenmeyer flasks. In batch cultivations, maximum oxygen transfer capacities of 80 mmol L−1 h−1 were reached with perforated ring flasks, corresponding to a 3.5 times higher capacity than in Erlenmeyer flasks. Fed-batch experiments with a feed reservoir concentration of 500 g glucose L−1 were successfully conducted. Based on the oxygen transfer rate, an ammonium limitation could be observed. By adding 40 g ammonium sulfate L−1 to the feed reservoir, the limitation could be prevented. Conclusion The membrane-based feeding, an online monitoring technique, and the perforated ring flask were successfully combined and offer a new and promising tool for screening and process development in biotechnology.

Styles APA, Harvard, Vancouver, ISO, etc.

42

Birgen, Cansu, Kristin F. Degnes, Sidsel Markussen, Alexander Wentzel et Håvard Sletta. « Butanol production from lignocellulosic sugars by Clostridium beijerinckii in microbioreactors ». Biotechnology for Biofuels 14, n^o 1 (30 janvier 2021). http://dx.doi.org/10.1186/s13068-021-01886-1.

Texte intégral

Résumé :

Abstract Background Butanol (n-butanol) has been gaining attention as a renewable energy carrier and an alternative biofuel with superior properties to the most widely used ethanol. We performed 48 anaerobic fermentations simultaneously with glucose and xylose as representative lignocellulosic sugars by Clostridium beijerinckii NCIMB 8052 in BioLector® microbioreactors to understand the effect of different sugar mixtures on fermentation and to demonstrate the applicability of the micro-cultivation system for high-throughput anaerobic cultivation studies. We then compared the results to those of similar cultures in serum flasks to provide insight into different setups and measurement methods. Results ANOVA results showed that the glucose-to-xylose ratio affects both growth and production due to Carbon Catabolite Repression. The study demonstrated successful use of BioLector® system for the first time for screening several media and sugar compositions under anaerobic conditions by using online monitoring of cell mass and pH in real-time and at unprecedented time-resolution. Fermentation products possibly interfered with dissolved oxygen (DO) measurements, which require a careful interpretation of DO monitoring results. Conclusions The statistical approach to evaluate the microbioreactor setup, and information obtained in this study will support further research in bioreactor and bioprocess design, which are very important aspects of industrial fermentations of lignocellulosic biomass.

Styles APA, Harvard, Vancouver, ISO, etc.

43

Berg, Christoph, Laura Herbst, Lisa Gremm, Nina Ihling, Olivier Paquet-Durand, Bernd Hitzmann et Jochen Büchs. « Assessing the capabilities of 2D fluorescence monitoring in microtiter plates with data-driven modeling for secondary substrate limitation experiments of Hansenula polymorpha ». Journal of Biological Engineering 17, n^o 1 (13 février 2023). http://dx.doi.org/10.1186/s13036-023-00332-0.

Texte intégral

Résumé :

Abstract Background Non-invasive online fluorescence monitoring in high-throughput microbioreactors is a well-established method to accelerate early-stage bioprocess development. Recently, single-wavelength fluorescence monitoring in microtiter plates was extended to measurements of highly resolved 2D fluorescence spectra, by introducing charge-coupled device (CCD) detectors. Although introductory experiments demonstrated a high potential of the new monitoring technology, an assessment of the capabilities and limits for practical applications is yet to be provided. Results In this study, three experimental sets introducing secondary substrate limitations of magnesium, potassium, and phosphate to cultivations of a GFP-expressing H. polymorpha strain were conducted. This increased the complexity of the spectral dynamics, which were determined by 2D fluorescence measurements. The metabolic responses upon growth limiting conditions were assessed by monitoring of the oxygen transfer rate and extensive offline sampling. Using only the spectral data, subsequently, partial least-square (PLS) regression models for the key parameters of glycerol, cell dry weight, and pH value were generated. For model calibration, spectral data of only two cultivation conditions were combined with sparse offline sampling data. Applying the models to spectral data of six cultures not used for calibration, resulted in an average relative root-mean-square error (RMSE) of prediction between 6.8 and 6.0%. Thus, while demanding only sparse offline data, the models allowed the estimation of biomass accumulation and glycerol consumption, even in the presence of more or less pronounced secondary substrate limitation. Conclusion For the secondary substrate limitation experiments of this study, the generation of data-driven models allowed a considerable reduction in sampling efforts while also providing process information for unsampled cultures. Therefore, the practical experiments of this study strongly affirm the previously claimed advantages of 2D fluorescence spectroscopy in microtiter plates.

Styles APA, Harvard, Vancouver, ISO, etc.

44

Schlembach, Ivan, Hamed Hosseinpour Tehrani, Lars M. Blank, Jochen Büchs, Nick Wierckx, Lars Regestein et Miriam A. Rosenbaum. « Consolidated bioprocessing of cellulose to itaconic acid by a co-culture of Trichoderma reesei and Ustilago maydis ». Biotechnology for Biofuels 13, n^o 1 (décembre 2020). http://dx.doi.org/10.1186/s13068-020-01835-4.

Texte intégral

Résumé :

Abstract Background Itaconic acid is a bio-derived platform chemical with uses ranging from polymer synthesis to biofuel production. The efficient conversion of cellulosic waste streams into itaconic acid could thus enable the sustainable production of a variety of substitutes for fossil oil based products. However, the realization of such a process is currently hindered by an expensive conversion of cellulose into fermentable sugars. Here, we present the stepwise development of a fully consolidated bioprocess (CBP), which is capable of directly converting recalcitrant cellulose into itaconic acid without the need for separate cellulose hydrolysis including the application of commercial cellulases. The process is based on a synthetic microbial consortium of the cellulase producer Trichoderma reesei and the itaconic acid producing yeast Ustilago maydis. A method for process monitoring was developed to estimate cellulose consumption, itaconic acid formation as well as the actual itaconic acid production yield online during co-cultivation. Results The efficiency of the process was compared to a simultaneous saccharification and fermentation setup (SSF). Because of the additional substrate consumption of T. reesei in the CBP, the itaconic acid yield was significantly lower in the CBP than in the SSF. In order to increase yield and productivity of itaconic acid in the CBP, the population dynamics was manipulated by varying the inoculation delay between T. reesei and U. maydis. Surprisingly, neither inoculation delay nor inoculation density significantly affected the population development or the CBP performance. Instead, the substrate availability was the most important parameter. U. maydis was only able to grow and to produce itaconic acid when the cellulose concentration and thus, the sugar supply rate, was high. Finally, the metabolic processes during fed-batch CBP were analyzed in depth by online respiration measurements. Thereby, substrate availability was again identified as key factor also controlling itaconic acid yield. In summary, an itaconic acid titer of 34 g/L with a total productivity of up to 0.07 g/L/h and a yield of 0.16 g/g could be reached during fed-batch cultivation. Conclusion This study demonstrates the feasibility of consortium-based CBP for itaconic acid production and also lays the fundamentals for the development and improvement of similar microbial consortia for cellulose-based organic acid production.

Styles APA, Harvard, Vancouver, ISO, etc.

45

Weichert, Henry, et Mario Becker. « Online glucose-lactate monitoring and control in cell culture and microbial fermentation bioprocesses ». BMC Proceedings 7, S6 (décembre 2013). http://dx.doi.org/10.1186/1753-6561-7-s6-p18.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

46

Porras Reyes, Luis, Ivo Havlik et Sascha Beutel. « Software sensors in the monitoring of microalgae cultivations ». Reviews in Environmental Science and Bio/Technology, 10 janvier 2024. http://dx.doi.org/10.1007/s11157-023-09679-8.

Texte intégral

Résumé :

AbstractMicroalgae are well-known photosynthetic microorganisms used as cell factories for the production of relevant biotechnological compounds. Despite the outstanding characteristics attributed to microalgae, their industrial-scale production still struggles with scale-up problems and economic feasibility. One important bottleneck is the lack of suitable online sensors for the reliable monitoring of biological parameters, mostly concentrations of intracellular components, in microalgae bioprocesses. Software sensors provide an approach to improving the monitoring of those process parameters that are difficult to quantify directly and are therefore only indirectly accessible. Their use aims to improve the productivity of microalgal bioprocesses through better monitoring, control and automation, according to the current demands of Industry 4.0. In this review, a description of the microalgae components of interest as candidates for monitoring in a cultivation, an overview of software sensors, some of the available approaches and tools, and the current state-of-the-art of the design and use of software sensors in microalgae cultivation are presented. The latter is grouped on the basis of measurement methods used as software sensor inputs, employing either optical or non-optical techniques, or a combination of both. Some examples of software sensor design using simulated process data are also given, grouped according to their design, either as model-driven or data-driven estimators.

Styles APA, Harvard, Vancouver, ISO, etc.

47

Gaudreault, Jimmy, Catherine Forest‐Nault, Michel Gilbert, Yves Durocher, Olivier Henry et Gregory De Crescenzo. « A low‐temperature SPR‐based assay for monoclonal antibody galactosylation and fucosylation assessment using FcγRIIA/B ». Biotechnology and Bioengineering, 14 février 2024. http://dx.doi.org/10.1002/bit.28673.

Texte intégral

Résumé :

AbstractMonoclonal antibodies (MAbs) are powerful therapeutic tools in modern medicine and represent a rapidly expanding multibillion USD market. While bioprocesses are generally well understood and optimized for MAbs, online quality control remains challenging. Notably, N‐glycosylation is a critical quality attribute of MAbs as it affects binding to Fcγ receptors (FcγRs), impacting the efficacy and safety of MAbs. Traditional N‐glycosylation characterization methods are ill‐suited for online monitoring of a bioreactor; in contrast, surface plasmon resonance (SPR) represents a promising avenue, as SPR biosensors can record MAb–FcγR interactions in real‐time and without labeling. In this study, we produced five lots of differentially glycosylated Trastuzumab (TZM) and finely characterized their glycosylation profile by HILIC‐UPLC chromatography. We then compared the interaction kinetics of these MAb lots with four FcγRs including FcγRIIA and FcγRIIB at 5°C and 25°C. When interacting with FcγRIIA/B at low temperature, the differentially glycosylated MAb lots exhibited distinct kinetic behaviors, contrary to room‐temperature experiments. Galactosylated TZM (1) and core fucosylated TZM (2) could be discriminated and even quantified using an analytical technique based on the area under the curve of the signal recorded during the dissociation phase of a SPR sensorgram describing the interaction with FcγRIIA (1) or FcγRII2B (2). Because of the rapidity of the proposed method (<5 min per measurement) and the small sample concentration it requires (as low as 30 nM, exact concentration not required), it could be a valuable process analytical technology for MAb glycosylation monitoring.

Styles APA, Harvard, Vancouver, ISO, etc.

48

Lara, Alvaro R., Flavio Kunert, Vincent Vandenbroucke, Hilal Taymaz‐Nikerel, Luz María Martínez, Juan‐Carlos Sigala, Frank Delvigne, Guillermo Gosset et Jochen Büchs. « Transport‐controlled growth decoupling for self‐induced protein expression with a glycerol‐repressible genetic circuit ». Biotechnology and Bioengineering, 12 mars 2024. http://dx.doi.org/10.1002/bit.28697.

Texte intégral

Résumé :

AbstractDecoupling cell formation from recombinant protein synthesis is a potent strategy to intensify bioprocesses. Escherichia coli strains with mutations in the glucose uptake components lack catabolite repression, display low growth rate, no overflow metabolism, and high recombinant protein yields. Fast growth rates were promoted by the simultaneous consumption of glucose and glycerol, and this was followed by a phase of slow growth, when only glucose remained in the medium. A glycerol‐repressible genetic circuit was designed to autonomously induce recombinant protein expression. The engineered strain bearing the genetic circuit was cultured in 3.9 g L−1 glycerol + 18 g L−1 glucose in microbioreactors with online oxygen transfer rate monitoring. The growth was fast during the simultaneous consumption of both carbon sources (C‐sources), while expression of the recombinant protein was low. When glycerol was depleted, the growth rate decreased, and the specific fluorescence reached values 17% higher than those obtained with a strong constitutive promoter. Despite the relatively high amount of C‐source used, no oxygen limitation was observed. The proposed approach eliminates the need for the substrate feeding or inducers addition and is set as a simple batch culture while mimicking fed‐batch performance.

Styles APA, Harvard, Vancouver, ISO, etc.

Articles de revues sur le sujet « Bioprocess online monitoring »

Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres