ArticleBiotechnology for biofuels2017
A framework for accelerated phototrophic bioprocess development: integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design.
Article in Biotechnology for biofuels, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- A Guide to Bayesian Optimization in Bioprocess Engineering.Biotechnology and bioengineering · 2026Review
- Bayesian Optimization in Bioprocess Engineering-Where Do We Stand Today?Biotechnology and bioengineering · 2025Review
- A review of algorithmic approaches for cell culture media optimization.Frontiers in bioengineering and biotechnology · 2023Review
- Strain Development in Microalgal Biotechnology-Random Mutagenesis Techniques.Life (Basel, Switzerland) · 2022Review
- Automated Conditional Screening of MultipleBioengineering (Basel, Switzerland) · 2020Article
- Development of Novel Bioreactor Control Systems Based on Smart Sensors and Actuators.Frontiers in bioengineering and biotechnology · 2020Review
- Impact of Cultivation Condition and Media Content onAdvanced pharmaceutical bulletin · 2019Review
- Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology.Journal of visualized experiments : JoVE · 2017Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEven though microalgae-derived biodiesel has regained interest within the last decade, industrial production is still challenging for economic reasons. Besides reactor design, as well as value chain and strain engineering, laborious and slow early-stage parameter optimization represents a major drawback.
resultsThe present study introduces a framework for the accelerated development of phototrophic bioprocesses. A state-of-the-art micro-photobioreactor supported by a liquid-handling robot for automated medium preparation and product quantification was used. To take full advantage of the technology's experimental capacity, Kriging-assisted experimental design was integrated to enable highly efficient execution of screening applications. The resulting platform was used for medium optimization of a lipid production process using
conclusionsThe integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design proved to be a fruitful tool for the accelerated development of phototrophic bioprocesses. By means of the proposed technology, the targeted optimization task was conducted in a very timely and material-efficient manner.
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Registered trials
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