AIMC Topic: Chromatography

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Hybrid Models for the simulation and prediction of chromatographic processes for protein capture.

Journal of chromatography. A May 13, 2021
The biopharmaceutical industries are continuously faced with the pressure to reduce the development costs and accelerate development time scales. The traditional approach of heuristic-based or platform process-based optimization is soon getting obsol...
Chromatography Chemistry Techniques, Analytical Proteins Kinetics Computer Simulation Adsorption Neural Networks, Computer
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Automatic control of simulated moving bed process with deep Q-network.

Journal of chromatography. A Apr 27, 2021
Optimal control of a simulated moving bed (SMB) process is challenging because the system dynamics is represented as nonlinear partial differential-algebraic equations combined with discrete events. In addition, product purity constraints are active ...
Deep Learning Computer Simulation Chromatography
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Phytochemical, antibacterial, antioxidant and cytoxicity investigation of .

Zeitschrift fur Naturforschung. C, Journal of biosciences Dec 17, 2020
The phytochemical investigation of led to the isolation of 18 known compounds of which were four flavones, three anthraquinones, one phenyl propanoic derivative, five triterpenoids, four steroids and a mixture of glucose. Luteolin () and soranjidiol...
Oxidation-Reduction Microbial Sensitivity Tests Bacteria Phytochemicals Cell Line, Tumor Plant Stems Molecular Structure Plant Bark Cell Survival Antioxidants Biphenyl Compounds Mass Spectrometry Humans Plant Leaves Chromatography Rubiaceae Anti-Bacterial Agents Picrates
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Deep Learning on chromatographic data for Segmentation and Sensitive Analysis.

Journal of chromatography. A Nov 5, 2020
Lateral flow immunoassay (LFIA) is one of the most common methods in point-of-care testing, which is widely applied in some conditions for various applications. Image segmentation is an increasingly popular experimental paradigm to efficiently test t...
Neural Networks, Computer Immunoassay Chromatography Deep Learning Image Processing, Computer-Assisted
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Fake metabolomics chromatogram generation for facilitating deep learning of peak-picking neural networks.

Journal of bioscience and bioengineering Oct 10, 2020
Finding peaks in chromatograms and determining their start and end points (peak picking) is a core task in chromatography based biotechnology. Construction of peak-picking neural networks by deep learning was, however, hampered from the preparation o...
Metabolomics Chromatography Software Deep Learning
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The proteome landscape of the kingdoms of life.

Nature Jun 17, 2020
Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported, ...
Photosynthesis Bacteroides Iron-Sulfur Proteins Protein Folding Protein Biosynthesis Classification Species Specificity Proteolysis Carbohydrate Metabolism Proteome Homeostasis Oxidation-Reduction Glycolysis Chromatography Animals Proteomics Deep Learning Peptides Ion Transport
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Optimization of biopharmaceutical downstream processes supported by mechanistic models and artificial neural networks.

Biotechnology progress Feb 3, 2017
Downstream process development is a major area of importance within the field of bioengineering. During the design of such a downstream process, important decisions have to be made regarding the type of unit operations as well as their sequence and t...
Chromatography Neural Networks, Computer
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Estimation of adsorption isotherm and mass transfer parameters in protein chromatography using artificial neural networks.

Journal of chromatography. A Jan 27, 2017
Mechanistic modeling has been repeatedly successfully applied in process development and control of protein chromatography. For each combination of adsorbate and adsorbent, the mechanistic models have to be calibrated. Some of the model parameters, s...
Neural Networks, Computer Adsorption Chromatography Proteins Calibration Models, Chemical
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The development of loop-mediated isothermal amplification combined with lateral flow dipstick for detection of Karlodinium veneficum.

Harmful algae Dec 21, 2016
The aim of this study was to develop a loop-mediated isothermal amplification (LAMP) combined with a chromatographic lateral flow dipstick (LFD) assay to rapidly and specifically detect the Karlodinium veneficum ITS gene. Four groups of LAMP primers ...
DNA, Ribosomal Spacer RNA, Algal RNA, Protozoan Nucleic Acid Amplification Techniques Chromatography Dinoflagellida Phylogeny Sensitivity and Specificity China
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Explainable deep learning enhances robust and reliable real-time monitoring of a chromatographic protein A capture step.

Biotechnology journal Jan 1, 2024
The application of model-based real-time monitoring in biopharmaceutical production is a major step toward quality-by-design and the fundament for model predictive control. Data-driven models have proven to be a viable option to model bioprocesses. I...
Reproducibility of Results Antibodies, Monoclonal Chromatography Staphylococcal Protein A Deep Learning Biological Products
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