Work

Management of experimental workflows in robotic cultivation platforms

Year: 2024

Type: article

Abstract: In the last decades, robotic cultivation facilities combined with automated execution of workflows have drastically increased the speed of research in biotechnology. In this work, we present the design and deployment of a digital infrastructure for robotic cultivation platforms. We implement a Workflow Management System, using Directed Acyclic Graphs, based on the open-source platform Apache Airflow to increase traceability and the automated execution of experiments. We demonstrate the integration and automation of experimental workflows in a laboratory environment with a heterogeneous device landscape including liquid handling stations, parallel cultivation systems, and mobile robots. The feasibility of our approach is assessed in parallel E. coli fed-batch cultivations with glucose oscillations in which different elastin-like proteins are produced. We show that the use of workflow management systems in robotic cultivation platforms increases automation, robustness and traceability of experimental data.

Source: SLAS TECHNOLOGY

DOI: 10.1016/j.slast.2024.100214

Authors: Lucas Kaspersetz, Britta Englert, Fabian Krah, Ernesto C. Martinez, Peter Neubauer, M. Nicolas Cruz Bournazou

Institutions: Technische Universität Berlin, Consejo Nacional de Investigaciones Científicas y Técnicas

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,800