Automated DNA Extraction Monitoring System Based on MTConnect Technology

Autor: Ae-Ja Park, Mun-Ho Ryu, Ah-Reum Park, Sang-Ho Han
Jazyk: angličtina
Rok vydání: 2021
Předmět:
0209 industrial biotechnology
MTConnect
computer.internet_protocol
Computer science
Reliability (computer networking)
Request–response
02 engineering and technology
POCT device
lcsh:Technology
lcsh:Chemistry
020901 industrial engineering & automation
General Materials Science
lcsh:QH301-705.5
Instrumentation
DNA extraction
Fluid Flow and Transfer Processes
Flexibility (engineering)
lcsh:T
Adapter (computing)
business.industry
Process Chemistry and Technology
General Engineering
Process (computing)
molecular genetic test
021001 nanoscience & nanotechnology
real-time monitoring
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Embedded system
Scalability
lcsh:Engineering (General). Civil engineering (General)
0210 nano-technology
business
computer
lcsh:Physics
XML
Zdroj: Applied Sciences
Volume 11
Issue 2
Applied Sciences, Vol 11, Iss 684, p 684 (2021)
ISSN: 2076-3417
DOI: 10.3390/app11020684
Popis: MTConnect standard technology provides simplicity, flexibility, and scalability in integrating various equipment and operating systems and enabling accurate and consistent data collection from any MTConnect-compatible system. Using MTConnect technology, it is possible to immediately identify the cause of a problem and respond quickly when a problem occurs. Molecular genetic diagnostic point-of-care testing (POCT) devices have received attention in recent years because they enable rapid disease diagnosis. A molecular genetic diagnostic POCT device is under development by the authors. The system consists of a gene extraction process and a real-time PCR-based gene amplification process. In this study, we propose and demonstrate a system based on MTConnect technology to monitor an automated DNA extraction process. The proposed system consists of an automated DNA extraction system, an MTConnect adapter, an MTConnect agent, and a client application. The adapter and agent were developed on a Raspberry Pi single-board computer. The agent publishes the collected data in Extensible Markup Language (XML) format over a network. The performance and reliability of the system were evaluated by verifying the request response time between the implemented system&rsquo
s agent and the client application. The results demonstrate the feasibility of monitoring the DNA extraction process over a network.
Databáze: OpenAIRE