A Flexible System for Stepwise Automation of Microbial Testing of Drinking and Process Water

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Ambitions to improve the connectivity of devices to enable automation and digital representation of processes have been around for some time. Nevertheless, some companies, especially in life science and analytical science, tend to adopt these developments rather slowly. In the field of microbial analysis of drinking and process water, for example, a large part of the work is still carried out manually, although the high number of samples per day and the low fluctuation in work processes would predestine water analysis for a higher degree of automation. Obstacles such as the risk of bottlenecks and possible downtimes after machine failure, the spatial conditions together with the low flexibility of the automated system, a lack of trained personnel, and the high acquisition costs hinder this development, however. To lower these barriers, we have developed a system for the generation of flexibly expandable automated process lines, which handles sample handling and sample transport as a decisive step in the networking of several devices. The system allows the connection of devices that are distributed over the entire laboratory or close to each other, as well as those with a combination of both spatial situations. A functional or throughput expansion of the process can be realized by adding additional devices or storage areas to the network. With this concept, we have established a system for the automatic processing of defined steps of a routine Legionella pneumophila screening in drinking water testing. From this starting point, the process can be extended to cover further steps, such as concentrating or plating, up to the full analytical workflow.

Details

Original languageEnglish
Pages (from-to)532-544
Number of pages13
JournalSLAS technology : translating life sciences innovation
Volume26
Issue number5
Publication statusPublished - Oct 2021
Peer-reviewedYes

External IDs

PubMed 34282663
Scopus 85110970820

Keywords

Keywords

  • flexibility, Legionella testing, sample transport, laboratory automation