With the rapid development of nucleic acid molecule detection technology, nucleic acid detection devices have become a global research hotspot in recent years. This paper uses multidisciplinary fusion technology to propose a nucleic acid fluorescence detection design scheme. The device is mainly composed of a motion module and an optical system. Among them, the motion module uses an S-type variable acceleration control method to precisely control the movement of the motor. The stable and accurate operation lays the foundation for the collection of fluorescent signals; the optical system uses LED as the fluorescent excitation light source. The LED collimated uniform light path is designed. Use image stitching to stitch the collected images into a complete image for analysis. Finally, measure the operating error of the motor, the average error does not exceed 14um; simulate the fluorescence signal acquisition system and collect the image of the fluorescent film, the image fluorescence is uniform, which verifies the rationality of the fluorescence acquisition system; collects simulated samples and blank control images , Analyze the stitched images, and the results clearly distinguish the simulated samples and the control group.
Incubation temperature plays an important influential role in the detection process of specific proteins. In this paper, a specific protein detection device was designed and built by taking Lambert-Beer’s law as the basic detection principle. By using the photoelectric effect of the photoelectric sensor, the relative absorbance of the transmissibility sample was detected by the turbidimetric method, and then the substance content in the detected sample was quantitatively analyzed. Meanwhile, the increment PID algorithm was used to control the temperature in the incubation area, and then the finite element analysis method and COMSOL finite element simulation software were employed to analyze the temperature distribution and temperature variation trend in the incubation area of the reaction device. Besides, the microalbumin kit of Beijing Dandan Biotechnology was used to detect the influence of incubation temperature on the calibration curve of microalbumin (mALB) and its changing trend under different temperatures. The experimental results indicated that the increasing PID control algorithm could control the average temperature rise rate of the incubation area at 0.52 ℃/s and the temperature stability at ±0.1 ℃. When the incubation temperature was between 34℃ and 40℃, the change of temperature had no significant effect on the slope of the calibration curve. Within this temperature range, the linearity of the calibration curve gradually increased with the increase of the temperature. This study provided a basic experimental study on the effect of incubation temperature on the detection results of specific proteins.
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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.