ArticleEngineering in life sciences2020
Soft sensor based on 2D-fluorescence and process data enabling real-time estimation of biomass in
Article in Engineering in life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- In Situ Imaging for Monitoring Biomass Content and Pellet Size in Submerged Filamentous Stirred-Tank Cultivation.Biotechnology journal · 2026Article
- Current State of the Art and Potential for Construction and Demolition Waste Processing: A Scoping Review of Sensor-Based Quality Monitoring and Control for In- and Online Implementation in Production Processes.Sensors (Basel, Switzerland) · 2025Review
- Raman-based PAT for multi-attribute monitoring during VLP recovery by dual-stage CFF: attribute-specific spectral preprocessing for model transfer.Frontiers in bioengineering and biotechnology · 2025Article
- rAAV Manufacturing: The Challenges of Soft Sensing during Upstream Processing.Bioengineering (Basel, Switzerland) · 2023Review
- Development and validation of a nomogram for predicting all-cause mortality in American adult hypertensive populations.Frontiers in pharmacology · 2023Article
- On-line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process.Biotechnology and bioengineering · 2022Article
- Proton-transfer-reaction mass spectrometry (PTR-MS) for online monitoring of glucose depletion and cell concentrations in HEK 293 gene therapy processes.Biotechnology letters · 2022Article
- Bioprocess Control: Current Progress and Future Perspectives.Life (Basel, Switzerland) · 2021Review
- Challenges in the Development of Soft Sensors for Bioprocesses: A Critical Review.Frontiers in bioengineering and biotechnology · 2021Review
- History and Evolution of Modeling in Biotechnology: Modeling & Simulation, Application and Hardware Performance.Computational and structural biotechnology journal · 2020Review
- Soft sensor based on 2D-fluorescence and process data enabling real-time estimation of biomass inEngineering in life sciences · 2020Article
- Modeling of cell cultivation for monoclonal antibody production processes considering lactate metabolic shifts.Biotechnology progressArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In bioprocesses, specific process responses such as the biomass cannot typically be measured directly on-line, since analytical sampling is associated with unavoidable time delays. Accessing those responses in real-time is essential for Quality by Design and process analytical technology concepts. Soft sensors overcome these limitations by indirectly measuring the variables of interest using a previously derived model and actual process data in real time. In this study, a biomass soft sensor based on 2D-fluorescence data and process data, was developed for a comprehensive study with a 20-L experimental design, for
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.