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.
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.
In clinical testing, with the increasing demand for quantitative analysis of urine protein in departments such as urology, ICU (intensive care unit), a fast, accurate and simple method for detecting early renal impairment attract more and more scholars’ and businesses’ wide attention. This study proposes an early renal function damage detection device that combines ACR analysis and NGAL (neutrophil gelatinase-associated lipocalin) analysis, which could optimizes existing detection methods[1], and improves existing detection techniques. This study based on Lambert-Beer's law, used immuno-transmission colorimetry and immunoturbidimetric turbidity to analyze the samples and build experimental tooling.
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.