Center for Life Science Automation, University of Rostock, Rostock, Germany.
Anal Bioanal Chem. 2023 Sep;415(21):5057-5066. doi: 10.1007/s00216-023-04727-2. Epub 2023 May 13.
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.
分析测量方法用于生产和质量控制、诊断、环境监测或研究应用的不同领域。如果无法直接进行在线或在线测量,则必须在手动实验室中对采集的样本进行离线处理。自动化流程正越来越多地被用于提高产量和改善结果质量。与生物筛选相比,(生物)分析实验室的自动化程度仍然较低。这主要是由于过程的复杂性、所需的过程条件以及样品的复杂基质所致。要自动化的过程本身的要求以及许多其他参数都会影响合适的自动化概念的选择。可以使用不同的自动化策略来自动化(生物)分析过程。传统上,使用基于液体处理机的系统。对于更复杂的过程,使用带有中央机器人的系统来运输样品和实验室器具。随着新型协作机器人的发展,未来也将有可能实现分布式自动化系统,从而实现更灵活的自动化和所有子系统的使用。随着要自动化的过程的复杂性的增加,系统的复杂性也会增加。