Research on diagnostic system integrated nucleic acid extraction and detection

ABSTRACT

With the continuous impact of COVID-19, the demand for rapid genetic diagnosing at the inspection and quarantine site, emergency treatment of sudden infectious diseases and clinical in vitro diagnosis was increasing rapidly. In order to achieve rapid, automatic nucleic acid extraction and detection, an automatic diagnostic system which integrates nucleic acid extraction, amplification and biochip fluorescence detection is designed. The diagnostic system designed based on multidisciplinary intersection of biology, optoelectronics, machinery and computer technology. At first, the nucleic acid extraction part has 1-8 sample flux and uses the principle of the silicon filter can adsorb nucleic acid at different pH to achieve nucleic acid extraction. After the extraction process, the nucleic acid is injected into biochip through robotic arm. There is a specific microarray reaction chamber on the chip, which can be combined with a specific biological substance;Secondly the amplification part used the principle of flat-plate PCR to achieve nucleic acid amplification in the biochip;After amplification, the nucleic acid detection realized under the irradiation of the excitation light at 530nm, the specificity target on the biochip will emit light, thus the fluorescence image scanned by COMS camera and the result analyzed by the software on PC;At last device control, automation and detection of the integrated device realized by the STM32 single-chip microcomputer and CAN communication method to establish a device communication network. The diagnostic system will automate workflow, and provides a result that reports on the detection and interpretation of targets in the samples. The imaging module resolution was less than 10 microns/pixel. The CV value of the sample was less than 10%. The results provide that the diagnostic system can provide more accurate and more automated equipment for nucleic acid extraction, amplification and detection. © 2020 COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.