Internet of Things (IoT) on bio-technology

Biofilm dynamics: linking in situ biofilm biomass and metabolic activity measurements in real-time under continuous flow conditions

“…The rapid expansion of IoT technologies into the biological field has allowed the development of cost-effective, open-sourced equipment in garages, kitchens, and laboratories once thought to be highly specialized and limited to industry (PCR, qPCR, microscopes etc.) (https://openpcr.org/ and https://www.chaibio.com/) 20,28,29 .…”

“…The broad uptake of "do-it-yourself" (DIY) electronics into advanced and complex scientific equipment, enabled by the "internet of things" (IoT), component availability and easy to deploy programming interfaces have allowed for the expansion of electronics into other fields 20,21 and facilitated the trickle-down of technology previously affordable primarily by high-tech companies and research organizations (https://openpcr.org/) 20,[22][23][24] . This greater access facilitated the application of IoT sensors and tools to answer biological questions and the creation of a new subfield known as DIY biology 20,22 .…”

Toward microfluidic continuous-flow and intelligent downstream processing of biopharmaceuticals

“…Subsequently, a comprehensive qualification and performance evaluation is undertaken, drawing upon data obtained from real-time analysis such as various spectroscopy techniques (IR, UV-vis, Raman), HPLC, dynamic light scattering (DLS), etc. This includes a variety of sources, including advanced soft sensors 149 that computationally estimate critical process variables, and the integration of the internet of things (IoT), 150 which facilitates seamless data collection and transmission by interconnecting equipment and devices. The collected data is then rigorously processed through diverse methods, incorporating statistical analysis and data fusion.…”

Digitalization concepts in academic bioprocess development

“…Available or even openly online shared data including metadata can help to determine if the publication is of high quality. It can be reproduced, reanalyzed, used for new analyses, or even compared to or combined with other data promoting a deeper understanding of the topic or perhaps generating new knowledge [ 12 , 21 , 24 ].…”

“…Digitalization refers to an entire process, workflow, or laboratory infrastructure while digitization refers only to the procedure of converting something analog to a digital format (e.g., digitizing a standard operating procedure from a piece of paper to a digital file) [ 5 , 6 ]. Working in digital laboratories has the potential of error reduction, prevention of data loss, improved data integrity, faster workflow development times, possible reduction of chemicals and materials and higher sample throughput leading to modern, transparent and reproducible research and biomanufacturing [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. Developing a digitalization strategy for an academic bioprocess laboratory is an interdisciplinary task.…”