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基于肌酐、尿酸和 pH 值的多通道尿液传感检测系统。

A Multi-Channel Urine Sensing Detection System Based on Creatinine, Uric Acid, and pH.

机构信息

Academy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China.

出版信息

Biosensors (Basel). 2024 Oct 2;14(10):473. doi: 10.3390/bios14100473.

Abstract

Urine analysis represents a crucial diagnostic technique employed in clinical laboratories. Creatinine and uric acid in urine are essential biomarkers in the human body and are widely utilized in clinical analysis. Research has demonstrated a correlation between the normal physiological concentrations of creatinine and uric acid in urine and an increased risk of hypertension, cardiovascular diseases, and kidney disease. Furthermore, the pH of urine indicates the body's metabolic processes and homeostatic balance. In this study, an integrated multi-channel electrochemical sensing system was developed, combining electrochemical analysis techniques, microelectronic design, and nanomaterials. The architecture of an intelligent medical detection system and the production of an interactive interface for smartphones were accomplished. Initially, multi-channel selective electrodes were designed for creatinine, uric acid, and pH detection. The detection range was 10 nM to 100 μM for creatinine, 100 μM to 500 μM for uric acid, and 4 to 9 for pH. Furthermore, interference experiments were also conducted to verify the specificity of the sensors. Subsequently, multi-channel double-sided sensing electrodes and function-integrated hardware were designed, with the standard equations of target analytes stored in the system's read-only memory. Moreover, a WeChat mini-program platform was developed for smartphone interaction, enabling off-body detection and real-time display of target analytes through smartphones. Finally, the aforementioned electrochemical detection electrodes were integrated with the smart sensing system and wirelessly interfaced with smartphones, allowing for intelligent real-time detection in primary healthcare and individual household settings.

摘要

尿液分析是临床实验室中一种重要的诊断技术。尿液中的肌酐和尿酸是人体内的重要生物标志物,广泛应用于临床分析。研究表明,尿液中肌酐和尿酸的正常生理浓度与高血压、心血管疾病和肾脏疾病的风险增加之间存在相关性。此外,尿液的 pH 值表明了身体的代谢过程和动态平衡。在本研究中,开发了一种集成的多通道电化学传感系统,结合了电化学分析技术、微电子设计和纳米材料。构建了智能医疗检测系统的架构,并制作了与智能手机交互的接口。首先,设计了用于肌酐、尿酸和 pH 值检测的多通道选择性电极。肌酐的检测范围为 10 nM 至 100 μM,尿酸的检测范围为 100 μM 至 500 μM,pH 值的检测范围为 4 至 9。此外,还进行了干扰实验以验证传感器的特异性。随后,设计了多通道双面传感电极和功能集成硬件,系统的只读存储器中存储了目标分析物的标准方程。此外,还开发了一个用于智能手机交互的微信小程序平台,通过智能手机实现了非接触式检测和目标分析物的实时显示。最后,将上述电化学检测电极与智能传感系统集成,并通过无线方式与智能手机连接,实现了在初级保健和家庭环境中的智能实时检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1cf/11506577/5a1196dbf9a9/biosensors-14-00473-g001.jpg

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