ReviewLife (Basel, Switzerland)2021
Bioprocess Control: Current Progress and Future Perspectives.
Review in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Closing the Loop with Gates: A Scale-up-Gated Design-Build-Test-Learn Framework for Industrial Fermentation.Microorganisms · 2026Review
- Grey-box modeling framework for consolidated bioprocessing systems: an endpoint-guided approach.Bioresources and bioprocessing · 2026Article
- One-pot bioprocessing: dynamics and opportunities for integrated multiproduct recovery-a review.Bioprocess and biosystems engineering · 2026Review
- Commercial and on-farm microbial bioinputs production systems: challenges, opportunities and current Brazilian regulatory framework.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026Review
- Ecological Risks in Daqu Storage and Their Impact on Baijiu Flavor: Precision Process Strategies for Damage Mitigation While Preserving Aroma.Foods (Basel, Switzerland) · 2026Review
- A Framework for Digital Technologies Application in Soft Sensing Monitoring to Recombinant Nanobody Production inACS omega · 2026Article
- The dynamic growth of bacterial cultures: real-time Bayesian estimation of substrate uptake rates in fed-batch fermentations of E. coli.Bioprocess and biosystems engineering · 2026Article
- Industry-defined opportunities for advancing big data capabilities in biopharmaceutical manufacturing.Frontiers in bioengineering and biotechnology · 2026Review
- From Efficiency to Yield: Exploring Recent Advances in CHO Cell Line Development for Monoclonal Antibodies.Molecular biotechnology · 2025Review
- Wheels turning: CHO cell modeling moves into a digital biomanufacturing era: Subtitle: CHO Metabolic Modeling.Computational and structural biotechnology journal · 2025Review
- Real-Time Monitoring in Biomanufacturing with Graphene Field-Effect Transistor Sensors: Detection of pH, Glucose, and Antibodies.GEN biotechnology · 2024Article
- BayesianSSA: a Bayesian statistical model based on structural sensitivity analysis for predicting responses to enzyme perturbations in metabolic networks.BMC bioinformatics · 2024Article
- Dynamic Energy Budget model for E. coli growth in carbon and nitrogen limitation conditions.Applied microbiology and biotechnology · 2024Article
- Article
- Unveiling the potential of specific growth rate control in fed-batch fermentation: bridging the gap between product quantity and quality.World journal of microbiology & biotechnology · 2024Review
- Evaluation of single-use optical and electrochemical pH sensors in upstream bioprocessing.Heliyon · 2024Article
- Continuous Process Verification 4.0 application in upstream: adaptiveness implementation managed by AI in the hypoxic bioprocess of theFrontiers in bioengineering and biotechnology · 2024Article
- Ergot alkaloid control in biotechnological processes and pharmaceuticals (a mini review).Frontiers in toxicology · 2024Review
- Development of Responsive Promoters and their Utilization for Stable CHO Sensor Cell Lines.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Current achievements, strategies, obstacles, and overcoming the challenges of the protein engineering in Pichia pastoris expression system.World journal of microbiology & biotechnology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Typical bioprocess comprises of different unit operations wherein a near optimal environment is required for cells to grow, divide, and synthesize the desired product. However, bioprocess control caters to unique challenges that arise due to non-linearity, variability, and complexity of biotech processes. This article presents a review of modern control strategies employed in bioprocessing. Conventional control strategies (open loop, closed loop) along with modern control schemes such as fuzzy logic, model predictive control, adaptive control and neural network-based control are illustrated, and their effectiveness is highlighted. Furthermore, it is elucidated that bioprocess control is more than just automation, and includes aspects such as system architecture, software applications, hardware, and interfaces, all of which are optimized and compiled as per demand. This needs to be accomplished while keeping process requirement, production cost, market value of product, regulatory constraints, and data acquisition requirements in our purview. This article aims to offer an overview of the current best practices in bioprocess control, monitoring, and automation.
Indexed as
Identifiers
What OpenQuestion holds
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.