Evidence map›Paper›PMID 39451686›Full record

ArticleBiosensors2024

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

Qiya Gao, Jie Fu, Fangying Xiong, Jiawang Wang, Ziyue Qin, Shuang Li

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qiya GaoAcademy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China.
Jie FuAcademy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China.
Fangying XiongAcademy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China.
Jiawang WangAcademy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China.
Ziyue QinAcademy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China.
Shuang LiAcademy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-3483-5087

Funding

National Key Research and Development Program of China No. 2022YFF1202704
6 · The paper itself

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.

Indexed as

Biosensing TechniquesCreatinineUric AcidElectrochemical TechniquesElectrodesHumansHydrogen-Ion ConcentrationSmartphoneCreatinineUric Acidcreatinineelectrochemical sensorsintelligent medical detectionpHuric acid

Identifiers

PMID39451686
PMCPMC11506577

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.