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

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.

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Publication Details

Journal
Biosensors
Published
2024-10-02
DOI
https://doi.org/10.3390/bios14100473
Citations
7
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
1.29
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article

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

Jie Fu, Ziyue Qin, Qiya Gao, Shuang Li et al.
7 citations
Biosensors
Biosensors and Analytical Detection
1.29
article

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

Jie Fu, Ziyue Qin, Qiya Gao, Shuang Li, Fangying Xiong, Jiawang Wang
article en
7 citations

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.

BiosensorsVol. 14(10)
Tianjin University (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 21%
Biosensors and Analytical Detection
1.29
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A Multi-Channel Urine Sensing Detection System Based on Creatinine, Uric Acid, and pH — Jie Fu, Ziyue Qin, et al. · Biosensors (2024) | TGRS Research Map | TGRS