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Journal articles on the topic 'Bioprocess online monitoring'

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1

Büttgenbach, S., M. Michalzik, and R. Wilke. "New Approaches to Online Bioprocess Monitoring." Engineering in Life Sciences 6, no. 5 (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, and Valerio Beni. "Single-Use Printed Biosensor for L-Lactate and Its Application in Bioprocess Monitoring." Processes 8, no. 3 (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. A
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Panjan, Peter, Vesa Virtanen, and Adama Marie Sesay. "Towards microbioprocess control: an inexpensive 3D printed microbioreactor with integrated online real-time glucose monitoring." Analyst 143, no. 16 (2018): 3926–33. http://dx.doi.org/10.1039/c8an00308d.

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Constantinou, Antony, and Karen M. Polizzi. "Opportunities for bioprocess monitoring using FRET biosensors." Biochemical Society Transactions 41, no. 5 (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 a
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Brunner, Vincent, Lukas Klöckner, Roland Kerpes, Dominik Ulrich Geier, and Thomas Becker. "Online sensor validation in sensor networks for bioprocess monitoring using swarm intelligence." Analytical and Bioanalytical Chemistry 412, no. 9 (2019): 2165–75. http://dx.doi.org/10.1007/s00216-019-01927-7.

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Liu, Weiwen, Ziqi Liang, Yuanyu Wang, et al. "A facile online multi-gear capacitively coupled contactless conductivity detector for an automatic and wide range monitoring of high salt in HPLC." Analyst 147, no. 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, and Nídia D. Lourenço. "Raman Spectrometry as a Tool for an Online Control of a Phototrophic Biological Nutrient Removal Process." Applied Sciences 11, no. 14 (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, to
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Hans, Sebastian, Christian Ulmer, Harini Narayanan, et al. "Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis." Processes 8, no. 5 (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
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Sarma, Saurabh Jyoti, Sampa Maiti, Satinder Kaur Brar, Yann Le Bihan, Gerardo Buelna, and Mausam Verma. "Low cost semi-continuous bioprocess and online monitoring of hydrogen production from crude glycerol." RSC Advances 5, no. 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, and Olivier Henry. "On the Use of Surface Plasmon Resonance-Based Biosensors for Advanced Bioprocess Monitoring." Processes 9, no. 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
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Cimander, Christian, and 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, no. 10 (2002): 1157–68. http://dx.doi.org/10.1002/jctb.691.

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Pretzner, Barbara, Rüdiger W. Maschke, Claudia Haiderer, Gernot T. John, Christoph Herwig, and Peter Sykacek. "Predictive Monitoring of Shake Flask Cultures with Online Estimated Growth Models." Bioengineering 8, no. 11 (2021): 177. http://dx.doi.org/10.3390/bioengineering8110177.

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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
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Morschett, Holger, Roman Jansen, Christian Neuendorf, Matthias Moch, Wolfgang Wiechert, and 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, no. 1 (2019): 35–47. http://dx.doi.org/10.1007/s10295-019-02243-w.

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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 interferenc
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Heux, Stéphanie, Benjamin Philippe, and 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, no. 19 (2011): 7040–49. http://dx.doi.org/10.1128/aem.05838-11.

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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 b
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Wieser, Wiviane, Antony Ali Assaf, Benjamin Le Gouic, et al. "Development and Application of an Automated Raman Sensor for Bioprocess Monitoring: From the Laboratory to an Algae Production Platform." Sensors 23, no. 24 (2023): 9746. http://dx.doi.org/10.3390/s23249746.

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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 a
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Pais, Daniel A. M., Paulo R. S. Galrão, Anastasiya Kryzhanska, Jérémie Barbau, Inês A. Isidro, and Paula M. Alves. "Holographic Imaging of Insect Cell Cultures: Online Non-Invasive Monitoring of Adeno-Associated Virus Production and Cell Concentration." Processes 8, no. 4 (2020): 487. http://dx.doi.org/10.3390/pr8040487.

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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
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Berbegal, Carmen, Iuliia Khomenko, Pasquale Russo, et al. "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, no. 2 (2020): 55. http://dx.doi.org/10.3390/fermentation6020055.

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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 bi
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18

Alexander, Ronald, Gilson Campani, San Dinh, and Fernando V. Lima. "Challenges and Opportunities on Nonlinear State Estimation of Chemical and Biochemical Processes." Processes 8, no. 11 (2020): 1462. http://dx.doi.org/10.3390/pr8111462.

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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 involvi
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19

Berg, Christoph, Nina Ihling, Maurice Finger, Olivier Paquet-Durand, Bernd Hitzmann, and 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, no. 9 (2022): 438. http://dx.doi.org/10.3390/bioengineering9090438.

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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
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20

Koch, Cosima, Andreas E. Posch, Christoph Herwig, and 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, no. 12 (2016): 1965–73. http://dx.doi.org/10.1177/0003702816662618.

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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 a
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Silalahi, Sari Muthia, Dedy Anwar, and Juli Yanti Damanik. "Lecturers’ checklist instrument to monitor students’ understanding in distance learning." Journal of Education and Learning (EduLearn) 16, no. 4 (2022): 464–71. http://dx.doi.org/10.11591/edulearn.v16i4.20485.

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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 settin
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Sari, Muthia Silalahi, Anwar Dedy, and Yanti Damanik Juli. "Lecturers' checklist instrument to monitor students' understanding in distance learning." Journal of Education and Learning (EduLearn) 16, no. 4 (2022): 464–71. https://doi.org/10.11591/edulearn.v16i4.20485.

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

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24

König, J. C., T. Steinwedel, D. Solle, et al. "Development and characterisation of a new fluorescence sensor for online monitoring of bioprocesses." New Biotechnology 44 (October 2018): S22. http://dx.doi.org/10.1016/j.nbt.2018.05.146.

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König, Jan C., Tobias Steinwedel, Dörte Solle, et al. "Development and characterisation of a new fluorescence sensor for online monitoring of bioprocesses." Journal of Sensors and Sensor Systems 7, no. 2 (2018): 461–67. http://dx.doi.org/10.5194/jsss-7-461-2018.

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

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Hille, Rubin, Heiko Brandt, Vera Colditz, et al. "Application of Model-based Online Monitoring and Robust Optimizing Control to Fed-Batch Bioprocesses." IFAC-PapersOnLine 53, no. 2 (2020): 16846–51. http://dx.doi.org/10.1016/j.ifacol.2020.12.1204.

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Bayer, Benjamin, Andreas Maccani, Johanna Jahn, et al. "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, no. 1 (2021): 77–88. http://dx.doi.org/10.1007/s10529-021-03205-y.

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

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Haby, Benjamin, Sebastian Hans, Emmanuel Anane, et al. "Integrated Robotic Mini Bioreactor Platform for Automated, Parallel Microbial Cultivation With Online Data Handling and Process Control." SLAS TECHNOLOGY: Translating Life Sciences Innovation 24, no. 6 (2019): 569–82. http://dx.doi.org/10.1177/2472630319860775.

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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 i
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Hermann, Lucas, and Andreas Kremling. "A Hybrid Soft Sensor Approach Combining Partial Least-Squares Regression and an Unscented Kalman Filter for State Estimation in Bioprocesses." Bioengineering 12, no. 6 (2025): 654. https://doi.org/10.3390/bioengineering12060654.

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Real-time information on key state variables during fermentation is crucial for the effective optimization and control of bioprocesses. Specialized sensors for online or at-line monitoring of these variables are often associated with high costs, especially during early-stage process optimization. In this study, fed-batch processes of an L-phenylalanine (L-phe) production process were carried out using a recombinant Escherichia coli strain under varying inducer concentrations. The available online process variables from the L-phe production process were used to estimate the state variables biom
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Cho, Sooyeon. "(Invited) Integrating Molecular Recognition Nanosensors with Bioprocesses for Real-Time, Non-Destructive, and Multivariate Process Analytics." ECS Meeting Abstracts MA2024-02, no. 11 (2024): 1528. https://doi.org/10.1149/ma2024-02111528mtgabs.

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As biological and chemical production processes become more sophisticated and evolve in various forms, there is a critical need for the development of new biochemical analysis systems capable of qualifying the versatile synthesis variables and product quality at each site. Despite traditional instrumental analyses including spectroscopy, mass spectrometry, or chromatography, being utilized as the gold standard providing precision, they are not suitable for smart process analytical technology (PAT) for future chemical and biological manufacturing, which should enable real-time, non-destructive,
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Romano, Andrea, Vittorio Capozzi, Iuliia Khomenko, and Franco Biasioli. "Advances in the Application of Direct Injection Mass Spectrometry Techniques to the Analysis of Grape, Wine and Other Alcoholic Beverages." Molecules 28, no. 22 (2023): 7642. http://dx.doi.org/10.3390/molecules28227642.

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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 vol
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"Advanced bioprocess monitoring via online PTR-MS." Biotechnology and Bioengineering 109, no. 12 (2012): fmvi. http://dx.doi.org/10.1002/bit.24333.

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

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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 bioproces
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Heuer, Christopher, Anton Enders, Steffen Winkler, Martin Klaßen, Thorsten Teutenberg, and Janina Bahnemann. "A 3D‐Printed Microfluidic Sensor Platform for Online Bioprocess Monitoring." Advanced Sensor Research, May 5, 2025. https://doi.org/10.1002/adsr.70001.

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AbstractIn order to screen for optimal bioprocess parameters at higher throughput, researchers developing new biopharmaceuticals are increasingly turning to miniaturized cultivation systems with reduced space and media consumption. However, these systems still face challenges related to the continuous monitoring of critical bioprocess parameters, in particular, because sensor integration is often difficult, and sample volumes for offline measurements are limited. In this work, a novel 3D‐printed microfluidic lab‐on‐a‐chip sensor platform is presented, specifically designed to be compatible wit
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Chandarana, Chandni, Jyoti Suthar, and Aman Goyel. "Spectrophotometric Techniques: A Versatile Tool for Bioprocess Monitoring." Current Biotechnology 09 (November 25, 2020). http://dx.doi.org/10.2174/2211550109999201125202420.

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

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

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Kinet, Romain, Anne Richelle, Michael Colle, et al. "Giving the cells what they need when they need it: Biosensor‐based feeding control." Biotechnology and Bioengineering, January 23, 2024. http://dx.doi.org/10.1002/bit.28657.

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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 nutrit
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Dzurendova, Simona, Pernille Margrethe Olsen, Dana Byrtusová, et al. "Raman spectroscopy online monitoring of biomass production, intracellular metabolites and carbon substrates during submerged fermentation of oleaginous and carotenogenic microorganisms." Microbial Cell Factories 22, no. 1 (2023). http://dx.doi.org/10.1186/s12934-023-02268-y.

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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 spectros
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Rehfeld, Johanna S., Louis M. Kuhnke, Christian Ude, Gernot T. John, and 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, August 23, 2023. http://dx.doi.org/10.1002/elsc.202300204.

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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 los
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Strehl, Lara, Anna‐Lena Kuhn, Kyra Hoffmann, Marcel Mann, and Jørgen Barsett Magnus. "A novel multiparameter sensor for shake flask cultivations: Online biomass, dissolved oxygen, and fluorescence monitoring for comprehensive bioprocess characterization." Biotechnology Progress, April 23, 2025. https://doi.org/10.1002/btpr.70035.

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AbstractShake flasks are one of the most widely used cultivation vessels in biotechnological process development. To improve the process understanding, new technologies have been reported for online monitoring of different parameters like oxygen, pH, or biomass in the last couple of years. However, most reports address the monitoring of a single parameter per shake flask. This work evaluates the ability to measure dissolved oxygen (DO), biomass, and fluorescence in parallel with a new Multiparameter Sensor (MPS). Therefore, abiotic tests for reproducibility, sensitivity, and accuracy were perf
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Brauneck, Gesa, Dominik Engel, Luca Antonia Grebe, et al. "Pitfalls in Early Bioprocess Development Using Shake Flask Cultivations." Engineering in Life Sciences 25, no. 1 (2025). https://doi.org/10.1002/elsc.70001.

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ABSTRACTFor about 100 years, the shake flask has been established for biotechnological cultivations as one of the most important cultivation systems in early process development. Its appeal lies in its simple handling and highly versatile application for a wide range of cell types—from bacteria to mammalian cells. In recent decades, extensive research has been conducted on the shake flask, to not perform processes blindly but to gain a deeper understanding of the various process parameters, phenomena, and their impact on the process. Although the characterization of the shake flask is now well
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Pastoors, Johannes, Alexander Deitert, Carina Michel, et al. "In situ adsorption of itaconic acid from fermentations of Ustilago cynodontis improves bioprocess efficiency." Biotechnology for Biofuels and Bioproducts 16, no. 1 (2023). http://dx.doi.org/10.1186/s13068-023-02433-w.

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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 i
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Sarikaya, Burak, Karsten Günster, Luca Antonia Grebe, et al. "High‐sensitivity real‐time monitoring of pH and respiration activity unveils metabolic dynamics in shake flask cultures." Biotechnology Progress, December 13, 2024. https://doi.org/10.1002/btpr.3525.

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AbstractErlenmeyer shake flasks are widely used during the first steps of bioprocess development. Despite their broad application in academia and industry, shake flasks usually lack standardized and user‐friendly online monitoring techniques. In this work, the pH and Respiratory Activity MOnitoring System (pH‐RAMOS) for the non‐invasive online measurement of the oxygen transfer rate (OTR), carbon dioxide transfer rate (CTR), and pH in up to eight parallel shake flasks under sterile conditions is presented. The OTR and CTR are quasi‐continuously measured in the headspace of the shake flasks usi
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Salmela, Milla, Meri Mäkelä, Changshuo Liu, et al. "Online Monitoring of Volatile Products of Bioprocess Using Differential Ion Mobility─A Proof of Concept with 1-Undecene." Industrial & Engineering Chemistry Research, April 9, 2024. http://dx.doi.org/10.1021/acs.iecr.3c04188.

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Ji, Kaidi, Xiaofei Yu, Lifan Chen, et al. "Data‐Augmented Deep Learning Algorithm for Accurate Control of Bioethanol Fermentation Using an Online Raman Analyzer." Biotechnology and Bioengineering, June 8, 2025. https://doi.org/10.1002/bit.29040.

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ABSTRACTFed‐batch fermentation has become the preferred strategy in many industrial biomanufacturing processes. However, a key challenge remains in optimizing the feeding strategy to achieve stable maximum yields. In this study, we present an online Raman spectroscopy‐based monitoring and control system, using bioethanol production by Saccharomyces cerevisiae as a case study. To address the issue of limited labeled data, a pseudo‐labeling approach based on semi‐supervised learning was employed, expanding the available training data set by 100‐fold compared to conventional labeling methods. In
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Lüchtrath, Clara, Felix Lamping, Sven Hansen, Maurice Finger, Jørgen Magnus, and Jochen Büchs. "Diffusion-driven fed-batch fermentation in perforated ring flasks." Biotechnology Letters, May 17, 2024. http://dx.doi.org/10.1007/s10529-024-03493-0.

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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
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Hanke, René, Jonas Lohr, Leon Poduschnick, et al. "Rheology and Culture Reproducibility of Filamentous Microorganisms: Impact of Flow Behavior and Oxygen Transfer During Salt‐Enhanced Cultivation of the Actinomycete Actinomadura namibiensis." Engineering in Life Sciences, November 27, 2024. http://dx.doi.org/10.1002/elsc.202400078.

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ABSTRACTAnalyzing the relationship between cell morphology, rheological characteristics, and production dynamics of cultivations with filamentous microorganisms is a challenging task. The complex interdependencies and the commonly low reproducibility of heterogeneous cultivations hinder the bioprocess development of commercially relevant production systems. The present study aims to characterize process parameters in Actinomadura namibiensis shake flask cultures to gain insights into relationships between culture behavior and rheological characteristics during salt‐enhanced labyrinthopeptin A1
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