AIMC Topic: Batch Cell Culture Techniques
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Predicting single-cell protein production from food-processing wastewater in sequencing batch reactors using ensemble learning.
Bioresource technology
Apr 19, 2025
Producing single-cell protein (SCP) from food-processing wastewater offers a sustainable approach to resource recovery, animal feed production, and wastewater treatment. Decision-makers need accurate system performance data under variable influent co...
Harnessing near-infrared and Raman spectral sensing and artificial intelligence for real-time monitoring and precision control of bioprocess.
Bioresource technology
Feb 7, 2025
Effective monitoring and control of bioprocesses are critical for industrial biomanufacturing. This study demonstrates the integration of near-infrared and Raman spectroscopy for real-time monitoring and precise control of gentamicin fermentation. Th...
Machine learning-based model predictive controller design for cell culture processes.
Biotechnology and bioengineering
Jul 3, 2023
The biopharmaceutical industry continuously seeks to optimize the critical quality attributes to maintain the reliability and cost-effectiveness of its products. Such optimization demands a scalable and optimal control strategy to meet the process co...
CPV of the Future: AI-Powered Continued Process Verification for Bioreactor Processes.
PDA journal of pharmaceutical science and technology
Sep 19, 2022
According to the standard guidelines by the FDA, process validation in biopharma manufacturing encompasses a life cycle consisting of three stages: process design (PD), process qualification (PQ), and continued process verification (CPV). The validit...
Comparison of partial least square, artificial neural network, and support vector regressions for real-time monitoring of CHO cell culture processes using in situ near-infrared spectroscopy.
Biotechnology and bioengineering
Dec 6, 2021
The biopharmaceutical industry must guarantee the efficiency and biosafety of biological medicines, which are quite sensitive to cell culture process variability. Real-time monitoring procedures based on vibrational spectroscopy such as near-infrared...
Machine learning applied for metabolic flux-based control of micro-aerated fermentations in bioreactors.
Biotechnology and bioengineering
Mar 17, 2021
Various bio-based processes depend on controlled micro-aerobic conditions to achieve a satisfactory product yield. However, the limiting oxygen concentration varies according to the micro-organism employed, while for industrial applications, there is...
Automatic feed phase identification in multivariate bioprocess profiles by sequential binary classification.
Analytica chimica acta
Jun 22, 2017
In this paper, we propose a new strategy for retrospective identification of feed phases from online sensor-data enriched feed profiles of an Escherichia Coli (E. coli) fed-batch fermentation process. In contrast to conventional (static), data-driven...
Online optimal experimental re-design in robotic parallel fed-batch cultivation facilities.
Biotechnology and bioengineering
Dec 13, 2016
We present an integrated framework for the online optimal experimental re-design applied to parallel nonlinear dynamic processes that aims to precisely estimate the parameter set of macro kinetic growth models with minimal experimental effort. This p...
Modeling and simulation of xylitol production in bioreactor by Debaryomyces nepalensis NCYC 3413 using unstructured and artificial neural network models.
Bioresource technology
Aug 27, 2016
This study examines the use of unstructured kinetic model and artificial neural networks as predictive tools for xylitol production by Debaryomyces nepalensis NCYC 3413 in bioreactor. An unstructured kinetic model was proposed in order to assess the ...
Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells.
Nature methods
Aug 3, 2015
Induced pluripotent stem cells (iPSCs) are an essential tool for modeling how causal genetic variants impact cellular function in disease, as well as an emerging source of tissue for regenerative medicine. The preparation of somatic cells, their repr...
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