Strategies for automating analytical and bioanalytical laboratories.
Analytical chemistry
Automation strategies
Automation systems
Laboratory automation
Robotics
Systems engineering
Journal
Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
25
01
2023
accepted:
25
04
2023
revised:
02
04
2023
medline:
7
8
2023
pubmed:
13
5
2023
entrez:
12
5
2023
Statut:
ppublish
Résumé
Analytical measurement methods are used in different areas of production and quality control, diagnostics, environmental monitoring, or in research applications. If direct inline or online measurement methods are not possible, the samples taken have to be processed offline in the manual laboratory. Automated processes are increasingly being used to enhance throughput and improve the quality of results. In contrast to bioscreening, the degree of automation in (bio)analytical laboratories is still low. This is due in particular to the complexity of the processes, the required process conditions, and the complex matrices of the samples. The requirements of the process to be automated itself and numerous other parameters influence the selection of a suitable automation concept. Different automation strategies can be used to automate (bio)analytical processes. Classically, liquid handler-based systems are used. For more complex processes, systems with central robots are used to transport samples and labware. With the development of new collaborative robots, there will also be the possibility of distributed automation systems in the future, which will enable even more flexible automation and use of all subsystems. The complexity of the systems increases with the complexity of the processes to be automated.
Identifiants
pubmed: 37173407
doi: 10.1007/s00216-023-04727-2
pii: 10.1007/s00216-023-04727-2
pmc: PMC10181916
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5057-5066Subventions
Organisme : European Research Council
ID : 856405
Pays : International
Informations de copyright
© 2023. The Author(s).
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