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Recent Advances in Biosensor Technologies for Point-of-Care Urinalysisoa mark
  • Hwang, Chuljin ;
  • Lee, Won June ;
  • Kim, Su Dong ;
  • Park, Sungjun ;
  • Kim, Joo Hee
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Publication Year
2022-11-01
Publisher
MDPI
Citation
Biosensors, Vol.12
Keyword
biosensorsclinical application for urinalysisdipstick testpoint-of-care urinalysisurine sensor
Mesh Keyword
Clinical applicationClinical application for urinalysisClinical conditionsConventional methodsDipstick testHealth statusHuman urine samplesPoint of carePoint-of-care urinalysisUrine sensorsBiomarkersBiosensing TechniquesHumansMicroscopyPoint-of-Care SystemsUrinalysis
All Science Classification Codes (ASJC)
Analytical ChemistryBiotechnologyBiomedical EngineeringInstrumentationEngineering (miscellaneous)Clinical Biochemistry
Abstract
Human urine samples are non-invasive, readily available, and contain several components that can provide useful indicators of the health status of patients. Hence, urine is a desirable and important template to aid in the diagnosis of common clinical conditions. Conventional methods such as dipstick tests, urine culture, and urine microscopy are commonly used for urinalysis. Among them, the dipstick test is undoubtedly the most popular owing to its ease of use, low cost, and quick response. Despite these advantages, the dipstick test has limitations in terms of sensitivity, selectivity, reusability, and quantitative evaluation of diseases. Various biosensor technologies give it the potential for being developed into point-of-care (POC) applications by overcoming these limitations of the dipstick test. Here, we present a review of the biosensor technologies available to identify urine-based biomarkers that are typically detected by the dipstick test and discuss the present limitations and challenges that future development for their translation into POC applications for urinalysis.
ISSN
2079-6374
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33079
DOI
https://doi.org/10.3390/bios12111020
Fulltext

Type
Review
Funding
Funding: This research was supported by the Korea Electric Power Corporation (Grant number R21XO01-20), and a research grant (NRF-2020R1F1A1073564, NRF-2021R1A4A1033155 and NRF-2021R1A6A1A10044950) from the National Research Foundation (NRF) funded by the Ministry of Science, the Ministry of Education and ICT, Korea. This work was supported by the National Research Foundation of Korea Grant and Commercialization Promotion Agency for R&D Outcomes (COMPA) (2021M3A9G1015618). This work was also supported by the Ministry of Food and Drug Safety (Program No. 21153MFDS431).
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Park, Sungjun  Image
Park, Sungjun 박성준
Department of Electrical and Computer Engineering
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