ArticleFrontiers in microbiology2016
Artificial Intelligence vs. Statistical Modeling and Optimization of Continuous Bead Milling Process for Bacterial Cell Lysis.
Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 16 citations in OpenAlex.
- Microbial protein-derived bioplastics from renewable substrates: pathways, challenges, and applications in a circular economy.Environmental science and ecotechnology · 2025Review
- Innovative Artificial-Intelligence- Based Approach for the Biodegradation of Feather Keratin byFrontiers in microbiology · 2021Article
- Article
- Recent Developments in Bioprocessing of Recombinant Proteins: Expression Hosts and Process Development.Frontiers in bioengineering and biotechnology · 2019Review
- Artificial Intelligence vs. Statistical Modeling and Optimization of Continuous Bead Milling Process for Bacterial Cell Lysis.Frontiers in microbiology · 2016Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For a commercially viable recombinant intracellular protein production process, efficient cell lysis and protein release is a major bottleneck. The recovery of recombinant protein, cholesterol oxidase (COD) was studied in a continuous bead milling process. A full factorial response surface methodology (RSM) design was employed and compared to artificial neural networks coupled with genetic algorithm (ANN-GA). Significant process variables, cell slurry feed rate (A), bead load (B), cell load (C), and run time (D), were investigated and optimized for maximizing COD recovery. RSM predicted an optimum of feed rate of 310.73 mL/h, bead loading of 79.9% (v/v), cell loading OD
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Registered trials
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