PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 5, 2025Advanced Sensor Research4 citationsOpen Access

Advances in Electrochemical Urea Biosensors: Trends and Future Prospects

View Full Paper
SSSamar ShurbajiAKArshad KhanMHMohammad K. Hassan

Key Points

  • Enhanced urea detection improved diagnostics for chronic kidney disease and metabolic disorders, with stability making a significant impact.
  • Recent advancements include innovative biosensor systems, emphasizing the integration with IoT for effective real-time monitoring.
  • Electrochemical techniques like amperometry are crucial for advancing both enzymatic and non-enzymatic urea biosensors.
  • The focus on selectivity and stability addresses the challenges posed by existing diagnostic technologies.

Abstract

Abstract Urea, a nitrogenous organic compound resulting from protein metabolism, is excreted as a waste product in urine. Elevated blood urea levels are associated with severe health conditions, including chronic kidney disease (CKD) and liver failure. Thus, monitoring urea levels is essential for CKD patients and individuals with metabolic disorders that heighten the risk of CKD. While existing diagnostic technologies offer high sensitivity and specificity, they are often expensive, require skilled operators, involve lengthy processing times, and are typically invasive and discontinuous. To address these challenges, researchers have developed various biosensor systems for rapid and cost‐effective urea detection. This review provides a comprehensive overview of recent advancements in urea biosensing technologies, highlighting key challenges and potential solutions in biosensor design. It examines enzymatic and non‐enzymatic urea biosensors, focusing on electrochemical detection techniques such as amperometry and potentiometry for enzymatic sensors and cyclic voltammetry for non‐enzymatic sensors. Additionally, it explores material innovations, technological advancements, and strategies to enhance sensitivity, selectivity, portability, and stability. The integration of biosensors with IoT for real‐time monitoring and their applications in medical diagnostics are also discussed.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Shurbaji et al. (2025) studied this question.

synapsesocial.com/papers/693231368e51979591dcea37https://doi.org/10.1002/adsr.202500117
Ask AI
Helpful
Bookmark
Share
View Full Paper