Cargando…
Strategies for automating analytical and bioanalytical laboratories
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....
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181916/ https://www.ncbi.nlm.nih.gov/pubmed/37173407 http://dx.doi.org/10.1007/s00216-023-04727-2 |
_version_ | 1785041677862305792 |
---|---|
author | Thurow, Kerstin |
author_facet | Thurow, Kerstin |
author_sort | Thurow, Kerstin |
collection | PubMed |
description | 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. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-10181916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-101819162023-05-14 Strategies for automating analytical and bioanalytical laboratories Thurow, Kerstin Anal Bioanal Chem Feature Article 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. GRAPHICAL ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2023-05-13 2023 /pmc/articles/PMC10181916/ /pubmed/37173407 http://dx.doi.org/10.1007/s00216-023-04727-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Feature Article Thurow, Kerstin Strategies for automating analytical and bioanalytical laboratories |
title | Strategies for automating analytical and bioanalytical laboratories |
title_full | Strategies for automating analytical and bioanalytical laboratories |
title_fullStr | Strategies for automating analytical and bioanalytical laboratories |
title_full_unstemmed | Strategies for automating analytical and bioanalytical laboratories |
title_short | Strategies for automating analytical and bioanalytical laboratories |
title_sort | strategies for automating analytical and bioanalytical laboratories |
topic | Feature Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181916/ https://www.ncbi.nlm.nih.gov/pubmed/37173407 http://dx.doi.org/10.1007/s00216-023-04727-2 |
work_keys_str_mv | AT thurowkerstin strategiesforautomatinganalyticalandbioanalyticallaboratories |