Automatic Analyzer for Urinary Stone Detection in Urine

Currently, the world's population is aging and sub-healthy, but due to the stressful life of people or medical pressure, most people are unable to go to the hospital in time for medical checkups to screen for hidden problems. Therefore, we developed an automated analyzer based on the principle of optical detection sensors for home or community use to help people screen for diseases. The analyzer uses non-invasive body fluids, such as urine and saliva, as the detection target, and it can automate the extraction and detection of disease markers in body fluids. The analyzer is also equipped with a unique upper computer operating system, which facilitates human-computer interaction. In this study, a detection protocol and sensing system were developed for urinary stone markers (citric acid and oxalic acid) in urine. The concentration of the target is converted into absorbance at a specific wavelength by nano-sensitive materials, and then the absorbance is quantitatively converted into an electrical signal by a photodiode and transmitted to the upper computer of the analyzer, and a detection report is generated. This study has completed the verification of the experimental principle and the optimization of the detection conditions. The analyzer can complete the extraction and detection of citric acid and oxalic acid in urine within 20 min, and the recovery rate in actual samples can reach more than 90%, which has the value of promotion and application.