Thematische Bibliographien / Bioprocess online monitoring

Auswahl der wissenschaftlichen Literatur zum Thema „Bioprocess online monitoring“

Autor: Grafiati

Veröffentlicht am 27. Juli 2024

Zuletzt aktualisiert am 29. Juli 2024

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Zeitschriftenartikel zum Thema "Bioprocess online monitoring"

Büttgenbach, S., M. Michalzik und R. Wilke. „New Approaches to Online Bioprocess Monitoring“. Engineering in Life Sciences 6, Nr. 5 (Oktober 2006): 449–54. http://dx.doi.org/10.1002/elsc.200620150.

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Theuer, Lorenz, Judit Randek, Stefan Junne, Peter Neubauer, Carl-Fredrik Mandenius und Valerio Beni. „Single-Use Printed Biosensor for L-Lactate and Its Application in Bioprocess Monitoring“. Processes 8, Nr. 3 (09.03.2020): 321. http://dx.doi.org/10.3390/pr8030321.

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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.

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

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Constantinou, Antony, und Karen M. Polizzi. „Opportunities for bioprocess monitoring using FRET biosensors“. Biochemical Society Transactions 41, Nr. 5 (23.09.2013): 1146–51. http://dx.doi.org/10.1042/bst20130103.

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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.

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Brunner, Vincent, Lukas Klöckner, Roland Kerpes, Dominik Ulrich Geier und Thomas Becker. „Online sensor validation in sensor networks for bioprocess monitoring using swarm intelligence“. Analytical and Bioanalytical Chemistry 412, Nr. 9 (08.07.2019): 2165–75. http://dx.doi.org/10.1007/s00216-019-01927-7.

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Liu, Weiwen, Ziqi Liang, Yuanyu Wang, Jun Cao, Qiang Zhang, Xiaoping Liu, Yuxing Wang und 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, Nr. 3 (2022): 496–504. http://dx.doi.org/10.1039/d1an02249k.

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Franca, Rita D. G., Virgínia C. F. Carvalho, Joana C. Fradinho, Maria A. M. Reis und Nídia D. Lourenço. „Raman Spectrometry as a Tool for an Online Control of a Phototrophic Biological Nutrient Removal Process“. Applied Sciences 11, Nr. 14 (18.07.2021): 6600. http://dx.doi.org/10.3390/app11146600.

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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.

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Hans, Sebastian, Christian Ulmer, Harini Narayanan, Trygve Brautaset, Niels Krausch, Peter Neubauer, Irmgard Schäffl, Michael Sokolov und Mariano Nicolas Cruz Bournazou. „Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis“. Processes 8, Nr. 5 (14.05.2020): 582. http://dx.doi.org/10.3390/pr8050582.

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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.

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

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Gaudreault, Jimmy, Catherine Forest-Nault, Gregory De Crescenzo, Yves Durocher und Olivier Henry. „On the Use of Surface Plasmon Resonance-Based Biosensors for Advanced Bioprocess Monitoring“. Processes 9, Nr. 11 (09.11.2021): 1996. http://dx.doi.org/10.3390/pr9111996.

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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.

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Dissertationen zum Thema "Bioprocess online monitoring"

Gil, Gustavo Adolfo. „Online Raman spectroscopy for bioprocess monitoring“. Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/36757.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Author received the S.B. degree, June 2005 and the M. Eng. degree, Sept. 2005.
Includes bibliographical references (p. 195-202).
Online monitoring of bioprocesses is essential to expanding the potential of biotechnology. In this thesis, a system to estimate concentrations of chemical components of an Escherichia Coli fermentation growth medium via a remote fiber-optic Raman spectroscopy probe was studied in depth. The system was characterized to determine sources of instability and systematic error. A complete first-order error analysis was conducted to determine the theoretical sensitivity of the instrument. A suite of improvements and new features, including an online estimation of optical density and biomass, a method to correct for wavelength shifts, and a setup to increase repeatability and throughput for offline and calibration methods was developed accordingly. The theoretical and experimental ground work for developing a correction for spectrum distortions caused by elastic scattering, a fundamental problem for many spectroscopic applications, was laid out. In addition, offline Raman spectroscopy was used to estimate concentrations of fructose, glucose, sucrose, and nitrate in an oil palm (Elais guineensis) bioreaction. Finally, an expansion of optical techniques into new scale-up applications in plant cell bioprocesses, such as plant call differentiation was explored.
by Gustavo Adolfo Gil.
M.Eng.and S.B.

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Ladner, Tobias Michael David Verfasser], Jochen [Akademischer Betreuer] [Büchs und Bernd [Akademischer Betreuer] Hitzmann. „Technical developments for online bioprocess monitoring in continuously orbitally shaken microtiter plates / Tobias Michael David Ladner ; Jochen Büchs, Bernd Hitzmann“. Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1130872130/34.

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Yang, Ning. „Online monitoring of bioreactors by Raman spectroscopy and machine learning“. Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST083.

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Cette thèse présente une nouvelle stratégie de modélisation pour le suivi en ligne des bioréacteurs, utilisant la spectroscopie Raman et Machine Learning. L'objectif principal de cette étude est de développer des modèles simplifiés utilisant des spectres Raman provenant d'étalons. Elle se compose de trois parties.La première partie de cette thèse consiste à optimiser les paramètres d'acquisition Raman et à élaborer un modèle de régression PLS en utilisant des étalons purs. Ensuite, une validation préliminaire est entreprise en employant des étalons mixtes afin de simuler les variations de composition moléculaire dans le milieu, au cours du procédé, la fermentation alcoolique. La deuxième partie propose une expression non linéaire pour interpréter l'atténuation Raman due à la présence de micro-organismes dans un bioréacteur réel, permettant ainsi la correction des spectres diffusés par les cellules. Pour évaluer la performance du modèle, des bioréacteurs batch et fed-batch ont été réalisés, afin de confirmer la fiabilité et la robustesse prédictive de la stratégie de correction et du modèle de régression élaborés. Enfin, la troisième partie met en lumière les avantages de la méthodologie de modélisation proposée, comparativement à l'approche traditionnelle utilisant les spectres des bioréacteurs pour l'entraînement du modèle de régression.Dans l'ensemble, cette approche innovante a démontré une excellente performance de prédiction sur tous les ensembles de données de validation et de test, présentant un potentiel significatif pour l'ingénierie des bioprocédés. Elle permet un suivi plus précis et plus efficace de plusieurs composés en temps réel, et améliore le contrôle et l'optimisation des processus. La stratégie proposée devrait avoir une application étendue dans l'industrie de la bioproduction
This thesis presents a novel and reproducible modeling strategy for online monitoring of bioreactors using Raman spectroscopy and Machine Learning. The main aim of this study is to develop simplified models using the Raman spectra of standards in solution. It consists of three key parts.The first part involves optimizing Raman acquisition parameters and developing a PLS regression model using pure standards. Subsequently, a preliminary validation was carried out using mixed standards to mimic changes in the composition of different molecules in the medium during the alcoholic fermentation process. The second part defined a nonlinear expression to interpret the Raman attenuation induced by the presence of microorganisms in a real bioreactor, allowing the correction of cell--scattered spectra. For model evaluation, numerous batches and one fed--batch bioreactor were launched to validate the working performance and predictive robustness of the obtained correction strategy and regression model. The third part highlights the advantages of our proposed modeling methodology over the traditional way that uses the spectra from bioreactors to train the regression model.Overall, the innovative approach demonstrated an excellent prediction performance on all validation and testing datasets, presenting significant potential for bioprocess engineering. It enables more accurate and efficient monitoring of multiple compounds in real time, as well as enhances process control and optimization. The proposed strategy is expected to have an extended application in the bioproduction industry

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Lara, Ezequiel Franco. „Framework for online modeling, optimization and monitoring of bioprocesses“. [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=967218675.

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Hoche, Sven [Verfasser], Thomas [Akademischer Betreuer] Becker, Hermann [Gutachter] Nirschl und Thomas [Gutachter] Becker. „Ultrasound based PAT-concept for online monitoring of fermentative bioprocesses. / Sven Hoche ; Gutachter: Hermann Nirschl, Thomas Becker ; Betreuer: Thomas Becker“. München : Universitätsbibliothek der TU München, 2017. http://d-nb.info/1153882477/34.

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Alhusban, AAA. „Bioprocess monitoring using sequential injection capillary electrophoresis“. Thesis, 2016. https://eprints.utas.edu.au/23102/1/Alhusbana_whole_thesis_ex_pub_mat.pdf.

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Bioprocess monitoring has received significant interest over the past few years. The production of biopharmaceuticals synthesized by living cells during fermentation or cell culture processes is a rapidly growing field. Additionally, cell based assays have replaced many in vivo assays because of ethical and regulatory restrictions on working with laboratory animals. Biological processes are naturally susceptible to variability because living cells consume substrates and produce metabolites and products in a dynamic way with variations in metabolic rate across short time intervals. For the production of biopharmaceuticals, the FDA recommends documentation of nutrient and metabolite time profiles in the process analytical technology (PAT) policy to ensure product quality. At present, the majority of cell culture based monitoring is restricted to a few end point based assays that do not reflect the dynamic metabolic processes in cells that influence the final product. Therefore, a detailed and continuous monitoring of the bioprocesses in each production batch would significantly help manufacturers to control product quality, increase production yields and reduce production costs. At the same time, online monitoring of bioprocesses will also significantly enhance our understanding of fundamental dynamic cellular metabolic reactions that cannot be easily ascertained by end point measurements, and in turn facilitate pharmacological and biotechnological studies employed for screening and compounds testing. This thesis explores the potential of capillary electrophoresis (CE) for bioprocess monitoring. CE is a powerful and high resolution separation technique with the potential to provide detailed chemical information quickly using small sample volumes. First, the potential of Sequential injection capillary electrophoresis (SI-CE) for monitoring lactate production, an important metabolic indicator, during adherent mammalian cell culture, was examined. A new sampling interface was developed to sample from the medium covering a culture of human embryonic kidney cell line HEK293 and mouse fibroblast cell lines. Changes in lactate concentration in the cell culture medium were measured every 20 minutes over 3 days, requiring only 8.73 μL of sample per analysis. Second, a SI-CE system was developed for automated, online, near real-time monitoring of suspension cultures by integrating microfluidic components for cell counting and analyte extraction with the high-resolution separation technique. The correlation of cell growth of a human lymphocyte cell line with changes in the essential metabolic markers including glucose, glutamine, leucine/isoleucine and lactate provided new insights in the metabolic changes over time. Using only 8.1 mL of media (41 μL per analysis), the metabolic status and cell density were recorded every 30 minutes over 4 days. This system provides a promising new solution to meet the future demands in process monitoring in the biopharmaceutical industry. The developed platform for monitoring suspension cultures was extended to simultaneous monitoring of five parallel suspension cultures, capable of conducting cell density measurement and a high-resolution separation every 12 minutes for 4 days. This system was applied to study the metabolic effects of the drugs rotenone, β-lapachone and clioquinol on metabolism using lactate as indicator. For each drug, suspension culture experiments for three drug concentrations and two controls were monitored in parallel. Over the 4 days, 5.78 mL of media was consumed from each culture, equating to 60 μL per analysis. The fully automated system offers high sample throughput, good temporal resolution and low sample consumption combined with robustness, sensitivity and flexibility which provides a promising new platform for pharmacological and biotechnological studies.

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Lara, Ezequiel Franco [Verfasser]. „Framework for online modeling, optimization and monitoring of bioprocesses / von Ezequiel Franco Lara“. 2002. http://d-nb.info/967218675/34.

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Buchteile zum Thema "Bioprocess online monitoring"

Anderlei, Tibor, Michael V. Keebler, Jordi Joan Cairó und Martí Lecina. „HEK293 Cell-Based Bioprocess Development at Bench Scale by Means of Online Monitoring in Shake Flasks (RAMOS and SFR)“. In Animal Cell Biotechnology, 83–103. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0191-4_6.

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Marison, Ian, Siobhán Hennessy, Róisín Foley, Moira Schuler, Senthilkumar Sivaprakasam und Brian Freeland. „The Choice of Suitable Online Analytical Techniques and Data Processing for Monitoring of Bioprocesses“. In Advances in Biochemical Engineering/Biotechnology, 249–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/10_2012_175.

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Murugan, Chitra. „Soft Sensors for Biomass Monitoring during Low Cost Cellulase Production“. In Biotechnological Applications of Biomass. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96027.

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Low cost cellulase production has become a major challenge in recent years. The major hurdle in the production of biofuel and other products from biomass is the lack of efficient economically feasible cellulase. This can be achieved by proper monitoring and control of bioprocess. In order to implement any control scheme, the accurate representation of the system in the form of a model is necessary. There are many challenges associated with modeling the fermentation process such as inherent nonlinear dynamic behavior, complexity of process due to co-existence of viable and nonviable cells, presence of solid substrates, etc. Toward the achievement of this goal, researchers have been developing new techniques that can be used to monitor the process online and at-line. These newer techniques have paved the way for designing better control strategies that can be integrated with quality by design (QbD) and process analytic technology (PAT).

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Morais, Breno Alves de, Daniella Regina Arantes Martins Salha und Carlos Alfredo Galindo Blaha. „The importance of monitoring in remote teaching: Experiences of a nursing student in the collaborative teaching-learning process in academic training“. In INTERDISCIPLINARITY AND INNOVATION IN SCIENTIFIC RESEARCH. Seven Editora, 2023. http://dx.doi.org/10.56238/interdiinovationscrese-067.

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This is an experience report of a quantitative descriptive approach about the performance of the Monitor of the Integrated Monitoring project of the Department of Cell Biology and Genetics (MIC-DBG) of UFRN during the Emergency Remote Teaching in the pandemic caused by SARS CoV-2. The Monitoring actions were developed with bachelor's students in Ecology, Nursing, Dentistry and Pharmacy assisting the teachers of 03 classes of Cellular and Molecular Biology and 01 class of Genetics, making a population of 102 students. The use of TDICs in synchronous and asynchronous actions was of relevant importance for both students and professors, and none of them had sufficient skills and competencies to face higher education in the ERE condition as a strategy for continuing the general activities of the global population. The limitations and restrictions were not the same for the actors of the teacher-student teaching process and, consequently, for the Monitor. The results of the Monitor's actions were successful both with Cellular and Molecular Biology classes and with the Genetics class, where the use of Instagram and Whatsapp was the main communication link. The actions included group discussions, holding scavenger hunts through Instagram, providing didactic material, solving exercises discussed remotely, and also using virtual laboratories, online simulators, animations and games of cellular bioprocesses, culminating with the unique opportunity that Monitoring provides, that of teaching a theoretical class supervised by the teacher. There was good adherence of the students with participation in the discussions and search for monitoring to remove doubts individually with preferential use of messaging applications (insert the numbers %). Reports from students in the groups (67%) point to TDICs as excellent strategies for a greater assimilation of the content, as well as an improvement in the performance of the evaluations due to the contribution of the monitor. In this report of the experiences of a Bachelor's Degree in Nursing student as an Integrated Monitor, it is noted that, although the challenges experienced during the pandemic have affected the population in several instances, and in education it was no different, the possibilities with new technologies in line with synchronous and asynchronous remote teaching, it was possible to reap good results during the Emergency Remote Teaching (ERE) that contributed so much to the maturation and strengthening of the student-integrated monitor-teacher triad.

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Konferenzberichte zum Thema "Bioprocess online monitoring"

Wu, C., F. Brunelle, M. Harnois, J. Follet und V. Senez. „An integrated hybrid microfluidic system for online bioprocesses monitoring: Combining electrical lysis and EWOD sample preparation“. In 2012 IEEE 25th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2012. http://dx.doi.org/10.1109/memsys.2012.6170301.

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